Embark on a comprehensive technical deep dive into building a custom web search agent that operates entirely on your local machine using Ollama and Llama 3. Learn how to develop an AI-powered tool similar to Perplexity, with step-by-step guidance through the agent schema, Python code walkthrough, and implementation of various components. Explore the setup process for Ollama and conduct tests using different models, including Llama3 8B, Code Llama, and GPT-3.5-Turbo. Gain insights into open-source models and their potential applications in AI development. This 59-minute video tutorial offers hands-on experience in creating a sophisticated local AI solution, perfect for developers and AI enthusiasts looking to enhance their skills in building custom language models and search agents.
Overview
Syllabus
Introduction:
Agent Schema:
Python Code Walkthrough - Overview:
Python Code Walkthrough - Prompts:
Python Code Walkthrough - WebSearch Tool:
Python Code Walkthrough - Agent:
Setting up Ollama:
Testing with Llama3 8B:
Testing with Code Lllama:
Testing with GPT-3.5-Turbo:
Thoughts on Open-Source models:
Taught by
Data Centric
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