Deepak Mittal
Deepak Mittal teaches the engineering and system design of production-grade AI applications, covering LLMs, RAG, AI agents, and fine-tuning.
About Deepak Mittal
Deepak Mittal's channel focuses on AI engineering, generative AI, and large language model (LLM) systems design. The content is dedicated to moving beyond using ChatGPT to building production-grade AI systems, covering topics such as Retrieval-Augmented Generation (RAG), AI agents, tool calling, fine-tuning techniques like LoRA and QLoRA, and system architecture with tools like LangChain, Ollama, and Hugging Face.
Recent tutorials demonstrate a practical approach, with videos on implementing fault-tolerant agents with Temporal, designing RAG systems with semantic chunking, and comparing gRPC vs REST APIs for AI applications. The channel states it focuses on how AI systems work internally, from tokens and transformers to memory and autonomous agent workflows.