RAG / GenAI Presentation
TFUG - TensorFlow User Group Ghaziabad
Commudle - Connect & Learn With Software Developers
Presentation
- From Zero to Hero: Mastering GenAI in a Flash
- Empowering GenAI with RAG
- Introduction to GenAI - Hackathon
- GenAI for Freshers
Speaker
Share knowledge, expertise, and experiences using TensorFlow or any open-source tech. This includes topics such as TensorFlow applications, research, case studies, best practices, and new developments. The theme is Gen AI, and the audience will be mostly working professionals and 4th-year interns. The event is scheduled for 3rd August and will be held at Opstree Solutions, Sector 16 Noida. Potential speakers are required to provide a brief biography, a summary of their proposed presentation, and any relevant experience or credentials. Speakers are encouraged to make their sessions interactive. For purely technical sessions, the use of humor and interactive elements like questions is encouraged.
Objective
Empowering GenAI with RAG: Leveraging Gemini and VertexAI for Enhanced Data Retrieval and Generation
- Title
- whoami
- Introduction to GenAI
- LLMs
- Challenges with LLM
- Solution - RAG
- Benefits of RAG
- Practical Applications of RAG
- Real-World Use Cases
- RAG Framework
- Components of RAG
- Tools for Building RAG
- RAG Walkthrough
- Best practices for RAG Implementation
- Challenges and Future Directions of RAG
- Final Reflections
- Thanks
Hackathon
- GitHub - google-gemini/cookbook: Examples and guides for using the Gemini API.
- Go to https://aistudio.google.com/app/
- Get your own API Key
- Create API Key
- Create API Key in new project
- https://github.com/google-gemini/cookbook/blob/main/quickstarts/Prompting.ipynb
Others
- rag architecture
- past present and future of genai
Links
- RAG (Retrieval Augmented Generation)
- Grounding for Gemini with Vertex AI Search and DIY RAG - YouTube
- How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini - YouTube
- Natural Language to SQL using Google's Gemini Pro Model | SQL Database | Python - YouTube
- Build RAG application with Gemini using Langchain | How to use Gemini with Langchain| Karndeep Singh - YouTube