This blog introduces the basic concepts of RAG and further demonstrates the RAG process based on the source code interpretation of llama_index, including data loader, transformation, index, query, etc. In addition, this paper also analyzes the performance of llama_index RAG process and gives corresponding optimization suggestions.
This blog introduces the basic concepts of RAG and further demonstrates the RAG process based on the source code interpretation of llama_index, including data loader, transformation, index, query, etc. In addition, this paper also analyzes the performance of llama_index RAG process and gives corresponding optimization suggestions.
This blog post explores advanced parallelism techniques in deep learning to optimize computational efficiency and memory usage across GPUs. It covers Data Parallelism (DP), Zero Redundancy Optimizer (Zero), Pipeline Parallelism (PP) and Tensor Parallelism (TP).