Return-Path: Delivered-To: alvarochf@traceseis.com Received: from cs510.bluehost.com by cs510.bluehost.com with LMTP id WNr/J3NeqWmywAkAWiBQxw (envelope-from ) for ; Thu, 05 Mar 2026 03:44:03 -0700 Return-path: Envelope-to: alvarochf@traceseis.com Delivery-date: Thu, 05 Mar 2026 03:44:03 -0700 Received: from maile-hd.linkedin.com ([108.174.0.204]:41867) by cs510.bluehost.com with esmtps (TLS1.3) tls TLS_AES_256_GCM_SHA384 (Exim 4.98.2) (envelope-from ) id 1vy6BX-00000002oQj-1rKn for alvarochf@traceseis.com; Thu, 05 Mar 2026 03:44:03 -0700 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=maile.linkedin.com; s=d2048-202308-0e; t=1772707432; bh=DG/dQ2wq/w5hEKWBrKkUb3thElaoPN7U/QsIetyufx0=; h=Date:From:Subject:MIME-Version:Content-Type:To:X-LinkedIn-Class: X-LinkedIn-Template:X-LinkedIn-fbl; b=iEq3nm07hQS0wfW0hzoB+0/ZcVLDaYTBuYcrN8gSaYF/EsLDXB9TihqzLKQ+TJWA9 /vsV/ueUNK9H7chkSChFGhsbLyO00JLhL0sKEPDL0uYbG6k29V0Tw5VvriIa9WR6Kg KRR8N36/udhfHM7/8rjRDHxXep6mt1QDdjxp5aRGKiCL3l+2XTLntrNTpFIjCf7H6X jEP21va5N1Nnl+UwpNarR2zXsLQo5VCuaCDNOGe2N99Z1lMP0g/FT+Rq8A1qo+M5qn kJ712FWhtn4G/QGSIofgWHS/nuKa8xbrHMC1vGW+BMLIl+ncskjPkBoqljk42jdR8r 2YhlhisOzltIQ== DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=linkedin.com; s=d2048-202308-00; t=1772707432; bh=DG/dQ2wq/w5hEKWBrKkUb3thElaoPN7U/QsIetyufx0=; h=Date:From:Subject:MIME-Version:Content-Type:To:X-LinkedIn-Class: X-LinkedIn-Template:X-LinkedIn-fbl; b=fJLLLE4g2mSyeid+L7B6xRMmUyfdSBPgCmhno8lr5NGVjxyawjkBc0s9eGdq1mpH1 3r+o1bZvmnGXwrYmvZr0f+4hFrzCQqPN8aRo9q1vuJw5n6pGwutgyq7ofyX1ZheanY bQaOERYqfMO4I3da/iLUz5b/3hOk755r9hx+Du4O949TH8IRRtQouzMnV4/oJ667k1 Hi5Kn4Jbi4AH3I+OhJp++Fe2hqGcVGuEtlDoEfXZYG5piqX0a3mbETZheTi7GZZLd2 JN7rmLvnDejG6GYsAdMEY5EbICyN3AQTnNVH88h9u+U52doi7WeeKl9tDWfHid8vcZ 6Tu85JjxPi1IA== Date: Thu, 5 Mar 2026 10:43:52 +0000 (UTC) From: Alex Wang via LinkedIn Message-ID: <1076179120.2895353.1772707432199@lor1-app140938.prod.linkedin.com> Subject: =?UTF-8?Q?7_AI_terms_you=E2=80=99ll_hear_a_lot_in_this_year?= =?UTF-8?Q?-_not_the_ones_you=E2=80=99re_probably_thinking_of?= MIME-Version: 1.0 Content-Type: multipart/alternative; boundary="----=_Part_2895349_1416299905.1772707432198" To: "Alvaro Chaveste Jr." X-LinkedIn-Class: EMAIL-DEFAULT X-LinkedIn-Template: email_series_follow_newsletter_02 X-LinkedIn-fbl: m2-aszutygdqs9j3028a1i20tha0yo14wwshs1gfqhq9jieji4k1xytzdz4dgtb5keypeur7b2piyzaa4s6ebs76qm5ea695yeus67a7q X-LinkedIn-Id: niwq2c-mmdc3ka3-sq List-Unsubscribe: List-Unsubscribe-Post: List-Unsubscribe=One-Click Require-Recipient-Valid-Since: alvarochf@traceseis.com; Wed, 13 Nov 2024 04:36:45 +0000 ------=_Part_2895349_1416299905.1772707432198 Content-Type: text/plain;charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-ID: text-body Learn AI Together By Alex Wang By Alex Wang =20 =20 Read this article on LinkedIn to join the conversation Read on LinkedIn https://www.linkedin.com/comm/pulse/7-ai-terms-youll-hear-lot-year-ones-you= re-probably-thinking-wang-z7dwc?lipi=3Durn%3Ali%3Apage%3Aemail_email_series= _follow_newsletter_02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D&midToken=3DAQHs81gzrEn= LQw&midSig=3D1BhHmOPqSzQI81&trk=3Deml-email_series_follow_newsletter_02-nul= l-0-read_more_banner_cta_&trkEmail=3Deml-email_series_follow_newsletter_02-= null-0-read_more_banner_cta_-null-niwq2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c= -mmdc3ka3-sq =20 1. AI Observability (Running AI in the real world) It refers to tools and p= ractices used to monitor AI systems in production, tracking model behavior,= debugging failures, and understanding how outputs are generated. Among the= terms on this list, this one probably has the widest potential application= . Because once AI moves from demos into real products, a new problem appear= s: How do you actually know what your models are doing? Traditional softwar= e is relatively predictable. AI systems are not. Models can hallucinate, dr= ift over time, or behave differently depending on inputs. Sometimes failure= s happen silently. You can think of it as the AI equivalent of DevOps monit= oring. =E2=96=AA=EF=B8=8FWhere it=E2=80=99s showing up: A new ecosystem of = tools is emerging around this problem. Platforms like Arize AI, Langfuse, a= nd Weights & Biases help teams trace prompts, inspect outputs, and debug LL= M systems running in production. As AI becomes part of real products, obser= vability is quickly becoming a core layer of modern AI systems. 2. Model Ro= uting (Choosing the right model for the job) In short, it is the practice o= f dynamically selecting which AI model should handle a task, instead of rel= ying on a single model for everything. =E2=96=AA=EF=B8=8FWhy it=E2=80=99s s= howing up: Early AI applications often relied on one model. But that approa= ch quickly becomes expensive and inefficient. Different tasks require diffe= rent capabilities =E2=80=94 and not every request needs the most powerful (= and expensive) model available. Routing allows systems to match the right m= odel to the right task. =E2=96=AA=EF=B8=8FWhere it=E2=80=99s showing up: Ma= ny AI products now rely on multiple models behind the scenes. Tools like Op= enRouter allow developers to route requests between models, while products = like Perplexity dynamically select models depending on the query. This appr= oach helps companies balance cost, speed, and performance. Skip the Messy M= iddle in Enterprise RAG Progress=C2=AE Agentic RAG-as-a-Service helps you m= ove faster with a managed, modular RAG stack designed to accelerate time to= value and deliver trusted, verifiable answers at scale. =F0=9F=9A=80 Skip = months of integration and complexity =F0=9F=94=90 Scale confidently with en= terprise-grade security =F0=9F=93=84 Support multimodal data ingestion acro= ss enterprise content =F0=9F=91=89 Try it risk-free now 3. Edge AI (When AI= runs on your device) This one refers to running AI models directly on loca= l devices, such as phones, laptops, cameras, or industrial machines, rather= than sending everything to the cloud. Running AI locally reduces latency, = improves privacy, and lowers infrastructure costs. It also allows AI system= s to work even without constant internet access. As models become smaller a= nd more efficient, running AI on-device is becoming increasingly practical.= =E2=96=AA=EF=B8=8FWhere it=E2=80=99s showing up: Companies like Apple, Qua= lcomm, and NVIDIA are investing heavily in on-device AI. Apple=E2=80=99s re= cent push toward local AI models on iPhones and Macs is one clear example. = In the coming years, many AI systems will likely run in hybrid architecture= s, partly in the cloud, partly on the device itself. 4. Physical AI (When A= I gets a body) This is probably the most familiar term on this list. We=E2= =80=99ve talked about it a few times already, including some of the recent = progress. But it=E2=80=99s worth paying a bit more attention to =E2=80=94 P= hysical AI refers to AI systems embedded in machines that can sense, move, = and interact with the real world. Most AI systems today exist purely in sof= tware. But once AI interacts with the physical world, new challenges appear= =E2=80=94 perception, movement, safety, and real-world unpredictability. A= dvances in models, sensors, and robotics are now making this shift possible= . =E2=96=AA=EF=B8=8FWhere it=E2=80=99s showing up: Robotics companies like = Figure AI, Agility Robotics, and Boston Dynamics are combining modern AI mo= dels with physical machines. Meanwhile NVIDIA is pushing the concept throug= h robotics platforms and simulation environments like Isaac. As robotics im= proves, AI will increasingly move beyond screens and into the physical worl= d. 5. Synthetic Data (Training AI with artificial worlds) Synthetic data is= artificially generated data used to train AI models, often created through= simulations or AI systems themselves. It=E2=80=99s not a new concept, but = it=E2=80=99s starting to get more attention because it helps train AI syste= ms in areas like robotics, autonomous vehicles, and other environments wher= e real-world data is difficult to collect. Training modern AI models requir= es enormous amounts of data. But real-world data can be expensive, difficul= t to collect, or incomplete. Synthetic data allows companies to generate tr= aining scenarios that might be rare, dangerous, or impossible to capture in= the real world. =E2=96=AA=EF=B8=8FWhere it=E2=80=99s showing up: Autonomou= s vehicle companies like Waymo use simulated driving environments to train = their systems. Platforms like NVIDIA Omniverse allow developers to create e= ntire virtual environments where robots and AI models can learn safely. Syn= thetic data is becoming a key tool for scaling AI training. Production infe= rence for open-source LLMs. Nebius Token Factory is built for teams running= open models in real products =E2=80=94 delivering managed inference with e= xplicit control over execution paths. From speculative decoding and cache-a= ware routing to post-training tuned on real traffic, it=E2=80=99s designed = for predictable tail latency and stable cost. Production-grade systems for = AI that actually ships. =E2=86=92 Learn more=F0=9F=92=A1 6. Neurosymbolic A= I (Trying to improve AI reasoning) It combines neural networks (data-driven= learning) with symbolic reasoning (rule-based logic) to improve how AI sys= tems reason and make decisions. This is also one of the AI directions I=E2= =80=99m personally very interested in watching. Large language models are p= owerful pattern recognizers but can struggle with structured reasoning and = logical consistency. Neurosymbolic approaches try to add logical structure = on top of neural systems. The goal is to combine flexibility with reliabili= ty. =E2=96=AA=EF=B8=8FWhere it=E2=80=99s showing up: Research groups at IBM= , MIT, and Stanford have been exploring this direction for years. As compan= ies look for ways to make AI systems more reliable and explainable, interes= t in neurosymbolic approaches is growing again. 7. Reflective AI (AI that l= earns from its own mistakes) Reflective AI refers to systems that can evalu= ate their own outputs and improve them, rather than producing a single resp= onse and stopping there. (It actually reminds me a bit of ideas like nested= learning, where models learn by reflecting on earlier steps. The concepts = aren=E2=80=99t identical, but they share a similar direction.) =E2=96=AA=EF= =B8=8FWhy it=E2=80=99s showing up: As AI systems become more autonomous, si= mply generating answers isn=E2=80=99t enough. Systems need ways to check th= eir reasoning, identify mistakes, and revise their responses. Reflection lo= ops can significantly improve accuracy. =E2=96=AA=EF=B8=8FWhere it=E2=80=99= s showing up: Modern AI agent frameworks increasingly use reflection techni= ques. Research from DeepMind and OpenAI has explored systems where models r= eview and critique their own outputs before producing a final answer. This = ability to self-correct is becoming an important capability for more advanc= ed AI systems. Keep reading on LinkedIn https://www.linkedin.com/comm/pulse/7-ai-terms-youll-hear-lot-year-ones-you= re-probably-thinking-wang-z7dwc?lipi=3Durn%3Ali%3Apage%3Aemail_email_series= _follow_newsletter_02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D&midToken=3DAQHs81gzrEn= LQw&midSig=3D1BhHmOPqSzQI81&trk=3Deml-email_series_follow_newsletter_02-new= sletter_content_preview_text-0-readmore_button_&trkEmail=3Deml-email_series= _follow_newsletter_02-newsletter_content_preview_text-0-readmore_button_-nu= ll-niwq2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-sq =20 =20 ---------------------------------------- This email was intended for Alvaro Chaveste Jr. (TraceSeis, Inc: Mapping th= e Subsurface with Measured Precision.) Learn why we included this: https://www.linkedin.com/help/linkedin/answer/4= 788?lang=3Den&lipi=3Durn%3Ali%3Apage%3Aemail_email_series_follow_newsletter= _02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D&midToken=3DAQHs81gzrEnLQw&midSig=3D1BhHm= OPqSzQI81&trk=3Deml-email_series_follow_newsletter_02-SecurityHelp-0-textfo= oterglimmer&trkEmail=3Deml-email_series_follow_newsletter_02-SecurityHelp-0= -textfooterglimmer-null-niwq2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-= sq You are receiving LinkedIn notification emails. Others can see that you are= a subscriber. 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LinkedIn and the LinkedIn logo are registered trademarks of LinkedIn. ------=_Part_2895349_1416299905.1772707432198 Content-Type: text/html;charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-ID: html-body <= head> </t= itle> <style> @media (max-width: 512px) { .mercado-container { width: 100% = !important; } } </style> <style> @media (max-width: 480px) { .inline-button, .inline-button tabl= e { display: none !important; } .full-width-button, .full-width-button table { display: table != important; } } @media (max-width: 320px) { .games-notification-badge { display: none !important; } } </style> <style>body {font-family: -apple-system, system-ui, Blin= kMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Oxygen Sans', Cantarell, 'Droid S= ans', 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Grande', Helvetica= , Arial, sans-serif;}</style> <!--[if mso]><style type=3D"text/css"> </styl= e><![endif]--> <!--[if IE]><style type=3D"text/css"> </style><![endif]--> <= /head> <body dir=3D"ltr" class=3D"font-sans bg-color-background-canvas w-fu= ll m-0 p-0 pt-1" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adj= ust: 100%; margin: 0px; width: 100%; background-color: #f3f2f0; padding: 0p= x; padding-top: 8px; font-family: -apple-system, system-ui, BlinkMacSystemF= ont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Ox= ygen Sans', Cantarell, 'Droid Sans', 'Apple Color Emoji', 'Segoe UI Emoji',= 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Grande', Helvetica, Arial, sa= ns-serif;"> <div class=3D"h-0 opacity-0 text-transparent invisible overflow= -hidden w-0 max-h-[0]" style=3D"visibility: hidden; height: 0px; max-height= : 0; width: 0px; overflow: hidden; opacity: 0; mso-hide: all;" data-email-p= reheader=3D"true">1. AI Observability (Running AI in the real world) It ref= ers to tools and=E2=80=A6</div> <div class=3D"h-0 opacity-0 text-transparen= t invisible overflow-hidden w-0 max-h-[0]" style=3D"visibility: hidden; hei= ght: 0px; max-height: 0; width: 0px; overflow: hidden; opacity: 0; mso-hide= : all;"> =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F= =C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F= =C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2= =A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2= =A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0= =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0= =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0= =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD= =8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD= =8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD= =8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F= =C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F= =C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2= =A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2= =A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2= =A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0= =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0= =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD= =8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD= =8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD= =8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F= =C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F= =C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2= =A0 =CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2= =A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0 =CD=8F=C2=A0=CD=8F=C2= =A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0=CD=8F=C2=A0= =CD=8F=C2=A0=CD=8F=C2=A0 </div> <table role=3D"presentation" valign=3D"top"= border=3D"0" cellspacing=3D"0" cellpadding=3D"0" width=3D"512" align=3D"ce= nter" class=3D"mercado-container w-[512px] max-w-[512px] mx-auto my-0 p-0 "= style=3D"-webkit-text-size-adjust: 100%; 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cursor: pointer; display: inline-block= ; text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-size-adju= st: 100%;"> <img class=3D"inline-block relative bg-color-entity-ghost-backg= round w-6 h-6 rounded-md" src=3D"https://media.licdn.com/dms/image/v2/D5612= AQGP3E54HIZtgA/series-logo_image-shrink_100_100/series-logo_image-shrink_10= 0_100/0/1692272681497?e=3D1774483200&v=3Dbeta&t=3D4XCO5kOnoUkB7LVkQ= 9x4-5EPXDoeDjuubs8G2VG_BP0" alt=3D"Open Learn AI Together" style=3D"outline= : none; text-decoration: none; -ms-interpolation-mode: bicubic; position: r= elative; display: inline-block; height: 48px; width: 48px; border-radius: 8= px; background-color: #eae6df;" width=3D"48" height=3D"48"> </a> </td> <td = valign=3D"top" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjus= t: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <table role=3D"pre= sentation" valign=3D"top" border=3D"0" cellspacing=3D"0" cellpadding=3D"0" = width=3D"100%" style=3D"-webkit-text-size-adjust: 100%; 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font-size: 16px; font-weight: 600; line-height: 1.25; col= or: rgba(0, 0, 0, 0.9);"> Learn AI Together </span> </div> </a> </td> </tr>= <tr> <td style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 10= 0%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <a href=3D"https://www.= linkedin.com/comm/newsletters/7091757327418093568?lipi=3Durn%3Ali%3Apage%3A= email_email_series_follow_newsletter_02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D&= midToken=3DAQHs81gzrEnLQw&midSig=3D1BhHmOPqSzQI81&trk=3Deml-email_s= eries_follow_newsletter_02-newsletter_entity_lockup-0-newsletter_entity_cta= &trkEmail=3Deml-email_series_follow_newsletter_02-newsletter_entity_loc= kup-0-newsletter_entity_cta-null-niwq2c~mmdc3ka3~sq-null-null&eid=3Dniw= q2c-mmdc3ka3-sq" target=3D"_blank" class=3D"no-underline" style=3D"color: #= 0a66c2; cursor: pointer; display: inline-block; text-decoration: none; -web= kit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; text-decoration-lin= e: none;"> <span class=3D"text-xs text-color-text-low-emphasis leading-regu= lar" style=3D"font-size: 12px; line-height: 1.25; color: rgba(0, 0, 0, 0.6)= ;"> Clear explanations of AI terms & trends, buzzword-free, designed to= inspire and educate. </span> </a> </td> </tr> </tbody> </table> </td> </tr= > </tbody> </table> </td> </tr> <tr data-test-id=3D"newsletter-content-prev= iew"> <td class=3D"px-3 pt-2" style=3D"-webkit-text-size-adjust: 100%; -ms-= text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; paddi= ng-left: 24px; padding-right: 24px; padding-top: 16px;"> <table role=3D"pre= sentation" valign=3D"top" border=3D"0" cellspacing=3D"0" cellpadding=3D"0" = width=3D"100%" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjus= t: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <tbody> <tr> <td c= lass=3D"overflow-hidden " style=3D"-webkit-text-size-adjust: 100%; -ms-text= -size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; overflow:= hidden;"> <table role=3D"presentation" valign=3D"top" border=3D"0" cellspa= cing=3D"0" cellpadding=3D"0" width=3D"100%" style=3D"-webkit-text-size-adju= st: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspa= ce: 0pt;"> <tbody> <tr> <td style=3D"-webkit-text-size-adjust: 100%; -ms-te= xt-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <a hr= ef=3D"https://www.linkedin.com/comm/pulse/7-ai-terms-youll-hear-lot-year-on= es-youre-probably-thinking-wang-z7dwc?lipi=3Durn%3Ali%3Apage%3Aemail_email_= series_follow_newsletter_02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D&midToken=3DA= QHs81gzrEnLQw&midSig=3D1BhHmOPqSzQI81&trk=3Deml-email_series_follow= _newsletter_02-newsletter_content_preview-0-headline_&trkEmail=3Deml-em= ail_series_follow_newsletter_02-newsletter_content_preview-0-headline_-null= -niwq2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-sq" target=3D"_blan= k" class=3D"w-full" style=3D"color: #0a66c2; cursor: pointer; display: inli= ne-block; text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-s= ize-adjust: 100%; width: 100%;"> <img class=3D"block w-full aspect-[744/400= ] object-cover overflow-hidden" data-test-id=3D"newsletter-content-preview_= _cover-image" alt=3D"Newsletter cover image" src=3D"https://media.licdn.com= /dms/image/v2/D5612AQFaF-95oQwmzg/article-cover_image-shrink_720_1280/B56Zy= 8_IfTIAAM-/0/1772697193485?e=3D1774483200&v=3Dbeta&t=3Dsx7I2G31Zdq9= -KoJp4RNvh6dv8OhEX4w-IqbPUReAh0" style=3D"outline: none; text-decoration: n= one; -ms-interpolation-mode: bicubic; display: block; aspect-ratio: 744/400= ; width: 100%; overflow: hidden; object-fit: cover;"> </a> </td> </tr> <tr>= <td class=3D"py-2" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-= adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; padding-top: 16= px; padding-bottom: 16px;"> <table role=3D"presentation" valign=3D"top" bor= der=3D"0" cellspacing=3D"0" cellpadding=3D"0" width=3D"100%" style=3D"-webk= it-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0p= t; mso-table-rspace: 0pt;"> <tbody> <tr> <td style=3D"-webkit-text-size-adj= ust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rsp= ace: 0pt;"> <a href=3D"https://www.linkedin.com/comm/pulse/7-ai-terms-youll= -hear-lot-year-ones-youre-probably-thinking-wang-z7dwc?lipi=3Durn%3Ali%3Apa= ge%3Aemail_email_series_follow_newsletter_02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D= &midToken=3DAQHs81gzrEnLQw&midSig=3D1BhHmOPqSzQI81&trk=3Deml-em= ail_series_follow_newsletter_02-newsletter_content_preview-0-title_&trk= Email=3Deml-email_series_follow_newsletter_02-newsletter_content_preview-0-= title_-null-niwq2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-sq" targ= et=3D"_blank" class=3D"no-underline font-medium text-sm m-0 text-system-gra= y-90" style=3D"cursor: pointer; display: inline-block; text-decoration: non= e; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; margin: 0px;= font-size: 14px; font-weight: 500; color: #282828; text-decoration-line: n= one;"> <h2 class=3D"m-0 text-display-sm leading-regular text-color-text fon= t-bold font-sans" style=3D"margin: 0px; font-family: -apple-system, system-= ui, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira Sans', = Ubuntu, Oxygen, 'Oxygen Sans', Cantarell, 'Droid Sans', 'Apple Color Emoji'= , 'Segoe UI Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Grande', H= elvetica, Arial, sans-serif; font-size: 24px; font-weight: 600; line-height= : 1.25; color: rgba(0, 0, 0, 0.9);"> 7 AI terms you=E2=80=99ll hear a lot i= n this year- not the ones you=E2=80=99re probably thinking of </h2> </a> </= td> </tr> <tr> <td style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-a= djust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <table role=3D= "presentation" valign=3D"top" border=3D"0" cellspacing=3D"0" cellpadding=3D= "0" width=3D"100%" data-test-id=3D"newsletter-author-lockup-redesign" class= =3D"mt-1 mb-2" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjus= t: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; margin-bottom: 16px;= margin-top: 8px;"> <tbody> <tr> <td valign=3D"middle" align=3D"left" class= =3D"w-3" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100= %; mso-table-lspace: 0pt; mso-table-rspace: 0pt; width: 24px;" width=3D"24"= > <a href=3D"https://au.linkedin.com/comm/in/alexwang2911?lipi=3Durn%3Ali%3= Apage%3Aemail_email_series_follow_newsletter_02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D= %3D&midToken=3DAQHs81gzrEnLQw&midSig=3D1BhHmOPqSzQI81&trk=3Deml= -email_series_follow_newsletter_02-newsletter_content_preview-0-author_&= ;trkEmail=3Deml-email_series_follow_newsletter_02-newsletter_content_previe= w-0-author_-null-niwq2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-sq"= target=3D"_blank" style=3D"color: #0a66c2; cursor: pointer; display: inlin= e-block; text-decoration: none; -webkit-text-size-adjust: 100%; -ms-text-si= ze-adjust: 100%;"> <img class=3D"inline-block relative bg-color-entity-ghos= t-background clip-path-circle-50 rounded-full w-4 h-4 align-middle" src=3D"= https://media.licdn.com/dms/image/v2/D4E03AQFhkQdAeTflUA/profile-displaypho= to-shrink_400_400/profile-displayphoto-shrink_400_400/0/1700006633108?e=3D2= 147483647&v=3Dbeta&t=3D7hs2tLAcDnFKzBNyN6t9cw_ArXaJTbZvPmjCM-V9Oy0"= alt=3D"Author image" style=3D"outline: none; text-decoration: none; -ms-in= terpolation-mode: bicubic; position: relative; display: inline-block; heigh= t: 32px; width: 32px; border-radius: 9999px; background-color: #eae6df; ver= tical-align: middle; clip-path: circle(50%);" width=3D"32" height=3D"32"> <= /a> </td> <td style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust= : 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt;"> <a href=3D"https://= au.linkedin.com/comm/in/alexwang2911?lipi=3Durn%3Ali%3Apage%3Aemail_email_s= eries_follow_newsletter_02%3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D&midToken=3DAQ= Hs81gzrEnLQw&midSig=3D1BhHmOPqSzQI81&trk=3Deml-email_series_follow_= newsletter_02-newsletter_content_preview-0-author_&trkEmail=3Deml-email= _series_follow_newsletter_02-newsletter_content_preview-0-author_-null-niwq= 2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-sq" target=3D"_blank" cl= ass=3D"no-underline ml-1" style=3D"color: #0a66c2; cursor: pointer; display= : inline-block; text-decoration: none; -webkit-text-size-adjust: 100%; -ms-= text-size-adjust: 100%; margin-left: 8px; text-decoration-line: none;"> <sp= an class=3D"font-sans font-bold text-sm mb-3 text-color-text-low-emphasis l= eading-regular" style=3D"margin-bottom: 24px; font-family: -apple-system, s= ystem-ui, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Fira S= ans', Ubuntu, Oxygen, 'Oxygen Sans', Cantarell, 'Droid Sans', 'Apple Color = Emoji', 'Segoe UI Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Lucida Gran= de', Helvetica, Arial, sans-serif; font-size: 14px; font-weight: 600; line-= height: 1.25; color: rgba(0, 0, 0, 0.6);"> Alex Wang </span> </a> </td> </t= r> </tbody> </table> </td> </tr> <tr> <td class=3D"pb-1" style=3D"-webkit-t= ext-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; m= so-table-rspace: 0pt; padding-bottom: 8px;"> <div class=3D"p-3 bg-color-sur= face-tint rounded-md font-sans" data-test-id=3D"newsletter-cta-banner" styl= e=3D"border-radius: 8px; background-color: #f5f7f9; padding: 24px; font-fam= ily: -apple-system, system-ui, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Hel= vetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Oxygen Sans', Cantarell, 'Droid= Sans', 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Emoji', 'Segoe UI = Symbol', 'Lucida Grande', Helvetica, Arial, sans-serif;"> <div class=3D"mb-= 1.5" style=3D"margin-bottom: 12px;"> <span class=3D"text-md leading-regular= font-bold text-color-text" style=3D"font-size: 16px; font-weight: 600; lin= e-height: 1.25; color: rgba(0, 0, 0, 0.9);"> Read this article on LinkedIn = to join the conversation </span> </div> <table role=3D"presentation" valign= =3D"top" border=3D"0" cellspacing=3D"0" cellpadding=3D"0" width=3D"100%" cl= ass=3D"email-button " data-test-id=3D"email-button" style=3D"-webkit-text-s= ize-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-ta= ble-rspace: 0pt;"> <tbody> <tr> <td valign=3D"middle" align=3D"left" style= =3D"-webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; mso-table-l= space: 0pt; mso-table-rspace: 0pt;"> <a href=3D"https://www.linkedin.com/co= mm/pulse/7-ai-terms-youll-hear-lot-year-ones-youre-probably-thinking-wang-z= 7dwc?lipi=3Durn%3Ali%3Apage%3Aemail_email_series_follow_newsletter_02%3BUml= LcL4GSqmOqPEP1d6HCQ%3D%3D&midToken=3DAQHs81gzrEnLQw&midSig=3D1BhHmO= PqSzQI81&trk=3Deml-email_series_follow_newsletter_02-newsletter_content= _preview-0-read_more_banner_cta_&trkEmail=3Deml-email_series_follow_new= sletter_02-newsletter_content_preview-0-read_more_banner_cta_-null-niwq2c~m= mdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-sq" target=3D"_blank" aria-l= abel=3D"Open this article on LinkedIn" class=3D"align-top no-underline " st= yle=3D"color: #0a66c2; cursor: pointer; display: inline-block; text-decorat= ion: none; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; vert= ical-align: top; text-decoration-line: none;"> <table role=3D"presentation"= valign=3D"top" border=3D"0" cellspacing=3D"0" cellpadding=3D"0" width=3D"a= uto" class=3D"border-separate " style=3D"-webkit-text-size-adjust: 100%; -m= s-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; bor= der-collapse: separate;"> <tbody> <tr> <td class=3D"btn-sm btn-primary bord= er-color-brand button-link leading-regular !min-h-[auto] !shadow-none borde= r-1 border-solid" style=3D"-webkit-text-size-adjust: 100%; -ms-text-size-ad= just: 100%; mso-table-lspace: 0pt; mso-table-rspace: 0pt; height: min-conte= nt; border-radius: 24px; padding-top: 7px; padding-bottom: 7px; padding-lef= t: 16px; padding-right: 16px; text-align: center; font-size: 14px; font-wei= ght: 600; cursor: pointer; text-decoration-line: none; background-color: #0= a66c2; color: #ffffff; border-width: 1px; border-style: solid; border-color= : #0a66c2; line-height: 1.25; min-height: auto !important; box-shadow: 0 0 = #0000, 0 0 #0000, 0 0 #0000 !important;"> <a href=3D"https://www.linkedin.c= om/comm/pulse/7-ai-terms-youll-hear-lot-year-ones-youre-probably-thinking-w= ang-z7dwc?lipi=3Durn%3Ali%3Apage%3Aemail_email_series_follow_newsletter_02%= 3BUmlLcL4GSqmOqPEP1d6HCQ%3D%3D&midToken=3DAQHs81gzrEnLQw&midSig=3D1= BhHmOPqSzQI81&trk=3Deml-email_series_follow_newsletter_02-newsletter_co= ntent_preview-0-read_more_banner_cta_&trkEmail=3Deml-email_series_follo= w_newsletter_02-newsletter_content_preview-0-read_more_banner_cta_-null-niw= q2c~mmdc3ka3~sq-null-null&eid=3Dniwq2c-mmdc3ka3-sq" target=3D"_blank" t= abindex=3D"-1" aria-hidden=3D"true" class=3D"no-underline" style=3D"color: = #0a66c2; cursor: pointer; display: inline-block; text-decoration: none; -we= bkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; text-decoration-li= ne: none;"> <span class=3D"no-underline text-white" style=3D"color: #ffffff= ; text-decoration-line: none;"> Read on LinkedIn </span> </a> </td> </tr> <= /tbody> </table> </a> </td> </tr> </tbody> </table> </div> </td> </tr> <tr = data-test-id=3D"newsletter-content-preview--content"> <td class=3D"font-san= s text-md leading-open text-system-gray-90" style=3D"-webkit-text-size-adju= st: 100%; -ms-text-size-adjust: 100%; mso-table-lspace: 0pt; mso-table-rspa= ce: 0pt; font-family: -apple-system, system-ui, BlinkMacSystemFont, 'Segoe = UI', Roboto, 'Helvetica Neue', 'Fira Sans', Ubuntu, Oxygen, 'Oxygen Sans', = Cantarell, 'Droid Sans', 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI E= moji', 'Segoe UI Symbol', 'Lucida Grande', Helvetica, Arial, sans-serif; fo= nt-size: 16px; line-height: 1.5; color: #282828;"> <div data-test-id=3D"pub= lishing-text-block"> <h2 data-test-id=3D"publishing-text-block-h1" class=3D= "font-bold m-0 text-lg text-system-gray-90 py-1 leading-regular" style=3D"m= argin: 0px; padding-top: 8px; padding-bottom: 8px; font-size: 20px; font-we= ight: 600; line-height: 1.25; color: #282828;"> <span class data-test-id=3D= "little-text-block">1. AI Observability (Running AI in the real world)</spa= n> </h2> </div> <div data-test-id=3D"publishing-text-block"> <p class=3D"m-= 0 mt-1.5 text-md leading-open" style=3D"font-weight: 400; margin: 0px; marg= in-top: 12px; font-size: 16px; line-height: 1.5;"> <span class data-test-id= =3D"little-text-block">It refers to tools and practices used to monitor AI = systems in production, tracking model behavior, debugging failures, and und= erstanding how outputs are generated.</span> </p> </div> <div data-test-id= =3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leading-open" st= yle=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-size: 16px; li= ne-height: 1.5;"> <span class data-test-id=3D"little-text-block">Among the = terms on this list, this one probably has the widest potential application.= </span> </p> </div> <div data-test-id=3D"publishing-text-block"> <p class= =3D"m-0 mt-1.5 text-md leading-open" style=3D"font-weight: 400; margin: 0px= ; margin-top: 12px; font-size: 16px; line-height: 1.5;"> <span class data-t= est-id=3D"little-text-block">Because once AI moves from demos into real pro= ducts, a new problem appears:</span> </p> </div> <div data-test-id=3D"publi= shing-text-block"> <p class=3D"m-0 mt-1.5 text-md leading-open" style=3D"fo= nt-weight: 400; margin: 0px; margin-top: 12px; font-size: 16px; line-height= : 1.5;"> <span class=3D"italic" data-test-id=3D"little-text-block" style=3D= "font-style: italic;">How do you actually know what your models are doing?<= /span> </p> </div> <div data-test-id=3D"publishing-text-block"> <p class=3D= "m-0 mt-1.5 text-md leading-open" style=3D"font-weight: 400; margin: 0px; m= argin-top: 12px; font-size: 16px; line-height: 1.5;"> <span class data-test= -id=3D"little-text-block">Traditional software is relatively predictable. A= I systems are not.</span> </p> </div> <div data-test-id=3D"publishing-text-= block"> <p class=3D"m-0 mt-1.5 text-md leading-open" style=3D"font-weight: = 400; margin: 0px; margin-top: 12px; font-size: 16px; line-height: 1.5;"> <s= pan class data-test-id=3D"little-text-block">Models can hallucinate, drift = over time, or behave differently depending on inputs. Sometimes failures ha= ppen silently.</span> </p> </div> <div data-test-id=3D"publishing-text-bloc= k"> <p class=3D"m-0 mt-1.5 text-md leading-open" style=3D"font-weight: 400;= margin: 0px; margin-top: 12px; font-size: 16px; line-height: 1.5;"> <span = class data-test-id=3D"little-text-block">You can think of it as the </span>= <span class=3D"font-[700]" data-test-id=3D"little-text-block" style=3D"font= -weight: 700;">AI equivalent of DevOps monitoring</span><span class data-te= st-id=3D"little-text-block">.</span> </p> </div> <div data-test-id=3D"publi= shing-text-block"> <p class=3D"m-0 mt-1.5 text-md leading-open" style=3D"fo= nt-weight: 400; margin: 0px; margin-top: 12px; font-size: 16px; line-height= : 1.5;"> <span class=3D"font-[700]" data-test-id=3D"little-text-block" styl= e=3D"font-weight: 700;">=E2=96=AA=EF=B8=8FWhere it=E2=80=99s showing up:</s= pan> </p> </div> <div data-test-id=3D"publishing-text-block"> <p class=3D"m= -0 mt-1.5 text-md leading-open" style=3D"font-weight: 400; margin: 0px; mar= gin-top: 12px; font-size: 16px; line-height: 1.5;"> <span class data-test-i= d=3D"little-text-block">A new ecosystem of tools is emerging around this pr= oblem.</span> </p> </div> <div data-test-id=3D"publishing-text-block"> <p c= lass=3D"m-0 mt-1.5 text-md leading-open" style=3D"font-weight: 400; margin:= 0px; margin-top: 12px; font-size: 16px; line-height: 1.5;"> <span class da= ta-test-id=3D"little-text-block">Platforms like </span><span class=3D"font-= [700]" data-test-id=3D"little-text-block" style=3D"font-weight: 700;">Arize= AI</span><span class data-test-id=3D"little-text-block">, </span><span cla= ss=3D"font-[700]" data-test-id=3D"little-text-block" style=3D"font-weight: = 700;">Langfuse</span><span class data-test-id=3D"little-text-block">, and <= /span><span class=3D"font-[700]" data-test-id=3D"little-text-block" style= =3D"font-weight: 700;">Weights & Biases</span><span class data-test-id= =3D"little-text-block"> help teams trace prompts, inspect outputs, and debu= g LLM systems running in production.</span> </p> </div> <div data-test-id= =3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leading-open" st= yle=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-size: 16px; li= ne-height: 1.5;"> <span class data-test-id=3D"little-text-block">As AI beco= mes part of real products, observability is quickly becoming a </span><span= class=3D"font-[700]" data-test-id=3D"little-text-block" style=3D"font-weig= ht: 700;">core layer of modern AI systems</span><span class data-test-id=3D= "little-text-block">.</span> </p> </div> <div data-test-id=3D"publishing-te= xt-block"> <h2 data-test-id=3D"publishing-text-block-h1" class=3D"font-bold= m-0 text-lg text-system-gray-90 py-1 leading-regular" style=3D"margin: 0px= ; padding-top: 8px; padding-bottom: 8px; font-size: 20px; font-weight: 600;= line-height: 1.25; color: #282828;"> <span class data-test-id=3D"little-te= xt-block">2. Model Routing (Choosing the right model for the job)</span> </= h2> </div> <div data-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-= 1.5 text-md leading-open" style=3D"font-weight: 400; margin: 0px; margin-to= p: 12px; font-size: 16px; line-height: 1.5;"> <span class data-test-id=3D"l= ittle-text-block">In short, it is the practice of dynamically selecting whi= ch AI model should handle a task, instead of relying on a single model for = everything.</span> </p> </div> <div data-test-id=3D"publishing-text-block">= <p class=3D"m-0 mt-1.5 text-md leading-open" style=3D"font-weight: 400; ma= rgin: 0px; margin-top: 12px; font-size: 16px; line-height: 1.5;"> <span cla= ss=3D"font-[700]" data-test-id=3D"little-text-block" style=3D"font-weight: = 700;">=E2=96=AA=EF=B8=8FWhy it=E2=80=99s showing up:</span> </p> </div> <di= v data-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md le= ading-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-= size: 16px; line-height: 1.5;"> <span class data-test-id=3D"little-text-blo= ck">Early AI applications often relied on one model. But that approach quic= kly becomes expensive and inefficient.</span> </p> </div> <div data-test-id= =3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md leading-open" st= yle=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-size: 16px; li= ne-height: 1.5;"> <span class data-test-id=3D"little-text-block">Different = tasks require different capabilities =E2=80=94 and not every request needs = the most powerful (and expensive) model available.</span> </p> </div> <div = data-test-id=3D"publishing-text-block"> <p class=3D"m-0 mt-1.5 text-md lead= ing-open" style=3D"font-weight: 400; margin: 0px; margin-top: 12px; font-si= ze: 16px; line-height: 1.5;"> <span class data-test-id=3D"little-text-block= ">Routing allows systems to match </span><span class=3D"font-[700]" data-te= st-id=3D"little-text-block" style=3D"font-weight: 700;">the right model to = the right task</span><span class data-test-id=3D"little-text-block">.</span= > </p> </div> <span>...</span> </td> </tr> <tr> <td class=3D"pt-2 no-underl= ine" style=3D"-webkit-text-size-adjust: 100%; 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