Greeting IEEE community, 

I share some ideas I published in my blog if you are interested in Generative AI, LLM, Deep Learning, Transformers, Vector and Graph databases built with Python examples. 

My blog is here for free: 

https://medium.com/@frankmorales_91352

The list of the ideas is below:

• Applications of Large Language Models for Airlines using LLAMA2 and Mistral.
• The Integration of RAG Fusion, LlamaIndex, and Mistral LLM: A Synergistic Approach
• Apache AGE: Bridging Relational Databases and Graphs
• Artificial Intelligence for the Airline Operation Control Center: Challenges, Opportunities and Limitations.
• Mixtral-8x7B: Overview and Benchmarks with Combining Mixtral and Flash Attention 2
• Generative AI with a historical context
• Embedchain: Open Source RAG Framework
• AI Pioneers: Shaping the Future of Technology
• The Race for AI Dominance
• RAG-Fusion
• AI Analytics for the Airlines Industry
• AI analytics
• Mistral LLM and Langchain integration. Overview and Tutorial with practical examples.
• GPT-4 VISION API with Practical Examples — Short Tutorial
• Mistral 7B foundation models from Mistral AI — Tutorial
• Open AI GPT with vision API.
• Vector Database, Retrieval Augmented Generation, and Semantic Search: A Comprehensive Overview

Have an incredible journey and good reading 

Frank Morales