Basic Machine Learning, LLMs, Embeddings & RAG with Karan Raj

By the end of this book, the reader should be able to:

• Understand AI, ML, Deep Learning and Generative AI
• Train basic Machine Learning models
• Understand neural networks conceptually
• Understand how LLMs work
• Understand Transformers and attention
• Use LLM APIs
• Work with embeddings
• Perform semantic search
• Understand vector databases
• Build RAG pipelines
• Evaluate basic RAG systems
• Understand hallucinations and AI limitations
• Build a complete AI Knowledge Assistant
• Understand the architecture of modern AI applications
• Explain these concepts in technical interviews