Stanford NLP's CS336 course, audited by a student who built an LLM from scratch for $353, delivers on its premise of deepening understanding of modern LLMs through hands-on assignments that include bu…
A developer contributed an open-source feature to DSPy, adding a Together AI fine-tuning provider. The provider allows users to fine-tune models like Llama directly within the DSPy framework, eliminat…
Simon Willison used DSPy to evaluate and improve the system prompts for Datasette Agent, an AI tool that executes read-only SQL queries. The research identified that including column names in schema l…
Stanford NLP's DSPy framework replaces manual prompt engineering with programmatic, optimizable modules that can be automatically tuned through closed-loop learning, treating prompts as variables that…