hands-on-llms
Explore the process of creating a real-time financial advisor using LLMs with hands-on training. The course covers essential components like training, streaming, and inference pipelines, and provides insights into using services such as Alpaca, Qdrant, Comet ML, Beam, and AWS. With detailed video lectures and articles, users will gain understanding of LLMOps, QLoRA fine-tuning, real-time streaming, RAG design, and vector databases, suitable for understanding LLM deployment in financial contexts.
