Integrating Open Source LLMs
Integrate LLMs with the OpenAI Agents SDK, RAG, vector stores, moderation and session history.
Covers all three modules: security & reliability, RAG & Agents SDK, conversation management
Language models have the ability to understand and reason from human input to generate content from a simple natural language prompt. They are very large deep learning models pre-trained on a vast amount of data from different sources: websites, online books, research articles, and even code repositories.
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What's inside
19 sections- 1 Table of Contents
- 2 Module 1
- 3 Overview: Integrating an LLM
- 4 Environment Setup and Configuration
- 5 Credential Management and Authentication
- 6 LLM Comparison: Generation Tasks
- 7 API Usage, Rate Limits and Error Codes
- 8 Module 2
- 9 OpenAI Agents SDK: Introduction (Part 1/2)
- 10 OpenAI Agents SDK: Full Workflow (Part 2/2)
- 11 Leveraging LLM Power with RAG
- 12 Creating a Vector Store
- 13 Optimizing Model Outputs
- 14 Tracing LLM Outputs and Usage Monitoring
- 15 Module 3
- 16 Adding a Moderation Filter
- 17 History Management (Session)
- 18 Final Project Architecture
- 19 Quick Reference
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