ToolingDistil Labs·6d ago·3 min read·SummaryListen 0:50
Gemini 2.5 Flash-Lite retires on a date you donGemini 2.5 Flash-Lite model retirement date announced.
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What actually shipped in agent engineering, pulled from the labs, arXiv and Hacker News.
See who we follow →Gemini 2.5 Flash-Lite model retirement date announced.
Study examines whether base model accuracy predicts fine-tuned performance using mid-size mixture-of-experts benchmark.
Agent Distillation with dltHub trains smaller models using traces from existing agents.
Distil Labs released an autonomous bug fixing agent.
Distil Labs released Fine-Tuning Liquid.
A 0.6 billion parameter model outperformed a 120 billion parameter LLM by 29 points on a benchmark.
Distil Labs published guidance on combining expert model optimization with scalable GPU infrastructure for production language models.
Distil Labs describes how to locally label emails using their fine-tuned model with n8n automation.
A 270M parameter model detects AI-generated text and runs in web browsers.
Gitara is a 3 billion parameter function-calling Git agent trained for local deployment.
Distil Labs develops small language models for video game character behavior.
Distil Labs benchmarked their platform.
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