Model Releases
the traces you already log are training data - keep the runs that did the task well, fine-tune a small model on them, eval on your task a 9B…
the traces you already log are training data - keep the runs that did the task well, fine-tune a small model on them, eval on your task a 9B model beating frontier models makes sense when it's trained
the traces you already log are training data - keep the runs that did the task well, fine-tune a small model on them, eval on your task a 9B model beating frontier models makes sense when it's trained on exactly your task smithtune: https://www.langchain.com/blog/langsmith-fine-tuning https://x.com/LangChain/status/2112962642985762962 .@corridor used smithtune’s trace-based workflow to build the training data for Argos, a fine-tuned 9B model that scores the highest of the 14 models they tested on their security context benchmark. 🧵 Full thread ⤵️
Related
- We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models,…
- teams want to understand what their agents are doing but it’s hard to sift through all that trace data at scale but you can basically find a…
- Training Leaves Traces: Centered Residual Signatures for Language Model Lineage Verification
Source: Harrison Chase (X) | 2026-10-21