Fine-Tuning Open Source Models for AI Agents
Offered By: Databricks via YouTube
Course Description
Overview
Explore the world of open source LLMs and multi-modal foundation models for developing cost-effective and flexible domain-specific generative AI applications in this 21-minute talk. Gain insights into optimizing models for AI agent use cases, including application copilots and domain-specific assistants that leverage tools. Discover best practices for fine-tuning models to enhance retrieval, chat, planning, and function calling capabilities. Learn about the open source foundation model ecosystem and its potential for creating powerful AI agents. Presented by Tristan Zajonc, Cofounder & CEO of Continual, this talk offers valuable knowledge for those interested in advancing their AI development skills using open source technologies.
Syllabus
Fine-Tuning Open Source Models for Agents
Taught by
Databricks
Related Courses
Using MPT-7B in Hugging Face and LangChainJames Briggs via YouTube Intelligence Augmentation
TEDx via YouTube AI Skills: Basic and Advanced Techniques in Machine Learning
Delft University of Technology via edX LangChain AI Handbook
Pinecone via Independent Hiring AI Agents - Implementing GPT-4 for Content Creation and Analysis
All About AI via YouTube