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
Awesome Motive Inc
GDG Organizer
One Frame Media
Organizer, GDG Baroda
Atyantik Technologies
Organizer, GDG Baroda
Core Team Member, GDG Baroda
APPMATTIC
Software Developer
AV Devs Pvt. LTD
Mobile Team Lead
Volunteer
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