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  • DeepSeek Harness

    Article URL: https://www.deepseek.com/en/harness/ Comments URL: https://news.ycombinator.com/item?id=49929489 Points: 41 # Comments: 14

    Hacker News2 min read
  • From Token to Trajectory

    From Token to Trajectory How Context Reshapes Representations — and What AI Systems Do with Them The suitcase felt surprisingly light. The color looked surprisingly light. The same token can begin …

    Towards AI18 min read
  • LAI #145: What Makes an Agent Reliable?

    LAI #145: What Makes an Agent Reliable? Plus, persistent AI identity, decisions without decoding, causal inference, Kubernetes triage, and RAG claim verification. Good morning, AI enthusiasts! AI …

    Towards AI6 min read
  • Diseñar agentes LLM con contratos verificables

    Un agente LLM puede parecer muy capaz durante una demostración y volverse dificil de operar cuando empieza a llamar APIs, crear tickets o consultar datos reales. El problema no suele ser que el modelo “no sepa” la respuesta.

    Dev.to AI5 min read
  • Open WebUI: Admin Configuration Options in a Nutshell

    Open WebUI is a universal chat interface with connectivity to local or remote LLM providers, custom files, documents, and a knowledge base, with full customization of model capabilities. Application features are configured both personally for a user account and globally by admin users.

    Dev.to AI13 min read
  • Plain Japanese in, ComfyUI workflow out

    Originally published in TL;JP, a weekly, fact-checked read on what Japanese AI and tech practitioners are saying on X. I read a lot of Japanese AI posts each week so you don't have to. This week there was a pattern worth naming: almost nobody was excited about talking to a model.

    Dev.to AI7 min read
  • # Where Jev Fits in an Application

    Suppose you’re building a service that receives customer support tickets. Before assigning a ticket, your code needs to answer two questions: Which team should handle it? Does it need urgent attention? You could ask a language model to write an assessment and then parse its response.

    Dev.to AI2 min read

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