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1
Introduction
2
Databricks and Pinecone
3
How Can I Compete In An AI World?
4
Gen AI on Databricks
5
Lakehouse AI
6
Models And Data
7
Challenges With ML Data
8
Vectors
9
Models
10
Build Your Own Solutions
11
ML Flow AI Gateway
12
Summary
13
Conclusion
Description:
Explore the critical importance of data preparation for maximizing the effectiveness of Large Language Models (LLMs) and Generative AI workflows in this 31-minute video presentation by Craig Wiley, Sr. Director of Product - AI/ML at Databricks. Delve into topics such as competing in an AI-driven world, Gen AI on Databricks, Lakehouse AI, and the challenges associated with machine learning data. Gain insights into vectors, models, and building your own solutions, with a focus on the ML Flow AI Gateway. Learn how to leverage these concepts to enhance your AI and machine learning projects, concluding with a comprehensive summary of key takeaways for implementing effective data preparation strategies in LLM and Gen-AI applications.

Preparing Data for LLMs and Generative AI Workflows

Pinecone
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