OK v0 does looks like that rare instance of a company writing about fine-tuned models that they use in production – in their case the "vercel-autofixer-01" model Looks like most of their stuff still uses off-the-shelf Claude though (Cc @0xSMW
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ENTERPRISE AI
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Vercel’s Fine-Tuned Production AI Model Strategy
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Non-AI Teams Fine-Tuning LLMs for Specific Problem Solving
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… trained by OpenAI themselves – that still doesn't work for me as a success story for a non-AI lab team fine tuning an LLM to solve a specific problem
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Fine-tuning commercial : où sont les success stories ?
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It may be demonstrated in academic papers, but where are the commercial success stories? I want to hear from companies that used fine tuning to solve the kinds of problems I face in my own work I've been trying to find convincing stories around this for a couple of years now
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Fine-tuning adoption challenges lack compelling success stories
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I think a bigger problem is the almost complete lack of fine tuning success stories – it's still really hard to find convincing stories of teams that used fine tuning for anything more interesting than "we got a cheap model to classify things slightly better"
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AI Boosts Ophthalmologist Diagnostic Accuracy to 92% in RCT
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Un essai randomisé en soins oculaires, comparant des ophtalmologistes avec IA à des ophtalmologistes sans IA, a démontré une précision de diagnostic bien supérieure (92 % contre 74 %), ainsi que de nombreux autres résultats améliorés. Aujourd'hui ,je le répète, ne pas utiliser
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IndiaAI Cancer AI Technology Challenge Launches Now
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Apply Now for IndiaAI–NCG Cancer AI & Technology Challenge (CATCH) ! The @OfficialINDIAai Mission, in partnership with National Cancer Grid (NCG)and Koita Centre for Digital Oncology (KCDO), invites applications for transformative AI innovations in cancer care. Why Apply?
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Machine Learning Pipelines and Microservices Architecture Demystified
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Data in, intelligence out: https://
infoworld.com/article/225288
9/data-in-intelligence-out-machine-learning-pipelines-demystified.html
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Machine Learning in Microservices — Productionizing microservices architecture for #MachineLearning solutions: http://
amzn.to/4iIptKB v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Design, build, and run microservices systems -
AI-First Strategy Requires Breaking Systems for Non-Linear Growth
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Incremental growth is not AI-First.
— Allie K. Miller (@alliekmiller) 29 août 2025
It’s a new beast you can work with differently, one where you have to reinvent your systems.
When you break your systems, you allow for non-linear growth. T-Mobile COO gets it. pic.twitter.com/WQ01YVymkiIncremental growth is not AI-First. It’s a new beast you can work with differently, one where you have to reinvent your systems. When you break your systems, you allow for non-linear growth. T-Mobile COO gets it.
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Key Players Shaping AI Direction and Strategy
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I honestly doubt any of the ones omitted really care that much… They're too busy influencing the direction of AI. 🙂