> Uploaded 17GB to HuggingFace models should be better at this these days, but otherwise prompt it to use a recent hf cli
CODE
-
Upgrading LLM Reducer Prompts for Better Constraint Hierarchy
By
–
4/5 We upgraded our original 3-line “be correct” prompt → a much more detailed prompt that enforced a hierarchy of constraints for correctness, regression safety, and minimality. Basically, get the LLM-based reducer to stop being an aesthetic snob.
-
LLM Judge Bias: Beyond Code Quality Metrics
By
–
5/5 The takeaway: If your agent relies on an LLM judge for selection accuracy, measuring code quality isn’t enough; you need a measure of the model's inductive bias toward the "fingerprint" of a gold solution. This was our blueprint.
-
LLM Judge Rejects Functional Fix for Code Aesthetics
By
–
3/5 An example: In instance psf__requests-1724, the gold fix is 2 lines. Our agent’s functional fix was 8 lines. The LLM judge rejected the correct 8-liner as "messy" and "redundant," choosing a clean but **non-functional** fix instead. See full patch in the blog:
-
LLM judges reject functional agent fixes as messy code
By
–
3/5 An example: In instance psf__requests-1724, the gold fix is 2 lines. Our agent’s functional fix was 8 lines. The LLM judge rejected the correct 8-liner as "messy" and "redundant," choosing a clean but **non-functional** fix instead. See full patch in the blog:
-
Selective GPT API Dialog Access: Understanding Availability Differences
By
–
Oh see, I did not know that, never encountered these dialogs in my GPT API access long before I started. Is that selective then?
-
LangSmith Fleet Enables Team Agents With Admin Controls
By
–
Fleet makes it easy for anyone on your team to build and use agents. These controls give admins visibility into what agents do and what they can access. Try LangSmith Fleet:
-
AI-Powered Open-Source: The Future of Cybersecurity Solutions
By
–
Open-source is the solution to cyber-security because with new AI capabilities, all of the open-source repos will be inspected and patched 100x faster/better than any closed-source system! Let's take a practical example: You're a startup building a new feature that deals with
-
Nemotron 3 Super: Open MoE Hybrid Model for Agentic AI
By
–
Nemotron 3 Super Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning paper: https://
huggingface.co/papers/2604.12
374
…