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[] Fine-Tuning Frustrations and Solutions
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DSPy: Transforming Language Model Calls into Smart Pipelines
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- 1 [] Omar's preferred coffee
- 2 [] Takeaways
- 3 [] Weight & Biases Ad
- 4 [] Omar's tech background
- 5 [] Evolution of RAG
- 6 [] Complex retrievals
- 7 [] Vector Encoding for Databases
- 8 [] BERT vs New Models
- 9 [] Resilient Pipelines: Design Principles
- 10 [] MLOps Workflow Challenges
- 11 [] Guiding LLMs for Tasks
- 12 [] Large Language Models: Usage and Costs
- 13 [] DSPy Breakdown
- 14 [] AI Compliance Roundtable
- 15 [] Fine-Tuning Frustrations and Solutions
- 16 [] Fine-Tuning Challenges in ML
- 17 [] Versatile GPT-3 in Agents
- 18 [] AI Focus: DSP and Retrieval
- 19 [] Commercialization plans
- 20 [] Wrap up
