Explore the process of building an AI tweet writing app using AI Agents and Llama 3 in this step-by-step tutorial video. Learn to leverage CrewAI for creating agents that perform web scraping, research, writing, and editing of tweets. Gain insights into the TweetCrafter project, understanding its components such as models, agents, tools, tasks, and callbacks. Follow along as the instructor demonstrates how to write a tweet using TweetCrafter and monitor the process through logs. Discover the potential of AI agents in automating complex tasks and enhancing content creation workflows.
Building an AI Tweet Writing App with LangChain, CrewAI, and Llama 3 - Step-by-Step Tutorial
Overview
Syllabus
- Intro
- Text tutorial on MLExpert.io
- Why AI Agents?
- Tweet Writing Assistant Overview
- TweetCrafter Overview
- Models
- Agents
- Tools
- Tasks
- Callbacks
- Sample Tweets & API Keys
- Write a Tweet with TweetCrafter
- Monitor and Debug with Logs
- Conclusion
Taught by
Venelin Valkov
Related Courses
-
LangChain MasterClass: Build 15 LLM Apps with Python
-
AI Agents in LangGraph
-
Llama 3, CrewAI, and Groq - Building an Email AI Agent
-
AI Agents with GPT-4 Turbo and CrewAI - Creating Cryptocurrency Market Reports
-
Build an AI Social Media Content Generator with LangGraph and Llama 3.1 - Tutorial
-
Advanced RAG with Llama 3 in LangChain - Building a PDF Chat System
