Introducing AstaBrief 8B, an open model that turns complex research questions + literature excerpts into cited reports.
Run it locally on your own hardware, with open weights + training data you can inspect & build on. 🧵
🤗 Download: https://t.co/KvTMbe1e9j
An open 8B model produces cited research reports in about 51 seconds versus 178 for a Claude-powered pipeline, and runs locally on your hardware. Weights and data are open, so you can reproduce or adapt the recipe.
Terms in this piece · Glossary
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
postGibberish wins: a game exposes the limits of prosocial-behavior scoring
postTraining an LLM by showing it answers people prefer – and ones they don’t – can…
postAi2 uses psychometrics to audit what LLM safety benchmarks measure
