stanbiryukov

4 ms·

1. 1.▲
   by stanbiryukov 2y ago

   I think of dspy as a programmatic way to guide LLMs with information, whether from context based on retrieval or from input and output pairs, rather than traditional low-rank fine-tuning. Their readme has a high-level introduction to using
2. 2.▲
   by stanbiryukov 2y ago

   I recommend reviewing Stanford's dspy library - great examples of few-shot learning that works by generating and tuning prompts for LLMs and even distilling instruction following tasks to smaller models like T5. Second, as others menti
3. 3.▲
   by stanbiryukov 5y ago

   Check out dtplyr- lazy data.table backend and tidyverse syntax
4. 4.▲
   Show HN: Easily fit bayesian generalized linear mixed effect models from Python(github.com)

   2 points by stanbiryukov 7y ago|0 comments