Generative AI
This is the course page for the Course Generative AI . The course is available on Youtube
| # | Topic | Video Link |
|---|---|---|
| 01 | Question Answering System using Azure Open AI Models ⭐ text davinci ,⭐ gpt 3.5 , ⭐ gpt 4 | Question Answering System Very Simple using Azure Open AI |
| 02 | Explains the Concept of Embeddings and Cosine Similarity. We have used Azure Open AI models | Embeddings and Cosine Similarity |
| 03 | Similarity Search using Vector Database Qdrant. We go through the several steps : ✅ Install Qdrant and run Qdrant in our machine ,✅ Insert data into Qdrant , ✅ Search data in Qdrant [ similarity search / vector embeddings search ] | Similarity Search using Vector Database Qdrant |
| 04 | Llama2 7B Contextual Question and Answering in LOCAL Machine in 3 minutes. | Llama2 7B Contextual Question and Answering in LOCAL Machine |
| 05 | RAG with Azure AI Search and Azure Open AI in 9 minutes | RAG with Azure AI Search and Azure Open AI |
| 06 | RAG with Opensource Tools - Qdrant and Mistral in 6 minutes | RAG with Opensource Tools - Qdrant and Mistral |
| 07 | PHI2 Small LLM [ Simple Example and RAG Example ] in 8 minutes | PHI2 Small LLM [ Simple Example and RAG Example ] in 8 minutes |
| 08 | RAG with AWS Bedrock and Qdrant in 8 minutes | RAG with AWS Bedrock and Qdrant in 8 minutes |
| 09 | Vector , Hybrid, Semantic search with Azure AI Search in 11 minutes | Vector , Hybrid, Semantic search with Azure AI Search in 11 minutes |
| 10 | RAG With Azure AI Search using Vector/ Hybrid / Exhaustive KNN / Semantic Reranker in 15 minutes | RAG With Azure AI Search using Vector/ Hybrid / Exhaustive KNN / Semantic Reranker in 15 minutes |
| 11 | Semantic Reranker for better Search Results in 10 minutes | Semantic Reranker for better Search Results in 10 minutes |