Weaviate Podcast Self-Discover DSPy with Chris Dossman - Weaviate Podcast #90!
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Mar 6, 2024 Explore the innovative self-discovery feature in DSPy, enhancing problem-solving with reasoning modules, and the importance of human-AI collaboration. Learn about Chris Dossman's Self-Discover implementation in DSPy and his entrepreneurial journey in the AI field. Dive into the evolving landscape of Artificial Intelligence and the exciting advancements in AI technology.
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Verified Local Info Challenges
- Smaller local websites often have outdated or incorrect information, unlike major city websites which are usually accurate and updated.
- Verified local information bases use human and AI hybrid approaches for high data accuracy rather than relying solely on web search APIs.
Optimize LLM Pipelines
- Break down LLM pipelines into as small parts as possible to reduce hallucinations and improve output quality.
- Build clear examples with expected outputs before prompting to achieve better consistency and lower errors.
Leverage DSPy for Robust LLMs
- Use DSPy to define inputs, outputs, and build examples before prompting for more robust and reliable LLM programs.
- Employ DSPy's compile and optimize functions to automatically generate and improve chain of thought prompting examples.