Ready to turn theory into practice? Join us for Part 2/2 of our deep dive into Retrieval Augmented Generation (RAG). This interactive session will be packed with hands-on coding exercises, allowing you to build your own RAG applications. Even if you missed Part 1 you are welcome!
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Dive into the advanced concepts and applications of RAG in AI. Learn and experience the cutting-edge techniques that power state-of-the-art RAG systems.
🔍 List of Advanced Concepts:
* Hybrid Retrieval Systems
* Efficient Indexing
* Enhanced Text Generation
* Knowledge Integration
* Contextual Awareness
* Multi-Modal Integration
* Robust Guardrails and Safety Mechanisms
* Scalability and Performance
* Monitoring and Maintenance
🌟 What You'll Learn:
* Foundational and advanced RAG concepts
* Combining retrieval methods
* Integrating external knowledge and context
* Implementing guardrails and safety mechanisms
* Optimizing and scaling RAG systems
* Hands-on experience building a simple RAG application
Prerequisites :
* Knowledge of Python
* Basic understanding of LLMs
*Device Requirements:*
* Laptop with 8 GB or more RAM
* Any code editor installed (e.g., VS Code, PyCharm, Sublime Text)
* Python installed on the system
Join us to gain deep insights and practical skills in RAG!
Sunday, August 4, 2024
4:30 AM – 7:30 AM UTC
AtliQ Technologies
Team Lead
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