Uploaded March 2024 | Updated September 2026, 2 hours ago
Hey everyone! Thank you so much for watching the 90th Weaviate Podcast with Chris Dossman! Self-Discover is a fascinating new algorithm from researchers at Google DeepMind and USC that searches for "atomic reasoning modules". One of the quickest ways to improve your LLM programs is to add Chain-of-Thought, "Let's think step by step ...", another primitive like this could be "Let's think out of the box" or "Think symbolically to calculate an answer...". Self-Discover searches for these thinking primitives that work best for YOUR LLM programs!!
Learn more about Dicer.ai: dicer.ai
Chris’ implementation of Self-Discover in DSPy! colab.research.google.com/drive/1GkAQKmw1XQgg5UNzzy8OncRe79V6pADB?usp=sharing
Self-Discover: arxiv.org/pdf/2402.03620.pdf
Example of combining You Web Search and Weaviate with DSPy: github.com/weaviate/recipes/blob/main/integrations/you/Web-Research-Agent-with-Weaviate-and-You.ipynb
Chapters
0:00 Welcome Chris!
1:35 Chris’ Entrepreneurial Journey, FAQx and Dicer AI
8:42 Existential Risk of DSPy
12:42 LangChain vs. DSPy
16:14 Q for Sam Altman
19:10 Lessons from Jason Liu
21:30 DSPy Compilers
25:30 DSPy Discord
26:05 Atomic Reasoning Modules
29:45 Compiling Reasoning for a Particular Task
35:48 Prior Knowledge in AI
42:25 In-Context Vectors
50:24 Dicer AI
57:58 People Driven Development
Hey everyone! Thank you so much for watching the 90th Weaviate Podcast with Chris Dossman! Self-Discover is a fascinating new algorithm from researchers at Google DeepMind and USC that searches for "atomic reasoning modules". One of the quickest ways to improve your LLM programs is to add Chain-of-Thought, "Let's think step by step ...", another primitive like this could be "Let's think out of the box" or "Think symbolically to calculate an answer...". Self-Discover searches for these thinking primitives that work best for YOUR LLM programs!!
Learn more about Dicer.ai: dicer.ai
Chris’ implementation of Self-Discover in DSPy! colab.research.google.com/drive/1GkAQKmw1XQgg5UNzzy8OncRe79V6pADB?usp=sharing
Self-Discover: arxiv.org/pdf/2402.03620.pdf
Example of combining You Web Search and Weaviate with DSPy: github.com/weaviate/recipes/blob/main/integrations/you/Web-Research-Agent-with-Weaviate-and-You.ipynb
Chapters
0:00 Welcome Chris!
1:35 Chris’ Entrepreneurial Journey, FAQx and Dicer AI
8:42 Existential Risk of DSPy
12:42 LangChain vs. DSPy
16:14 Q for Sam Altman
19:10 Lessons from Jason Liu
21:30 DSPy Compilers
25:30 DSPy Discord
26:05 Atomic Reasoning Modules
29:45 Compiling Reasoning for a Particular Task
35:48 Prior Knowledge in AI
42:25 In-Context Vectors
50:24 Dicer AI
57:58 People Driven Development
