@divaagurlxw: Inference optimizations I’d study if I wanted sub-second LLM responses: 1.KV-Caching 2.Speculative Decoding 3.FlashAtte…
Summary
A tweet listing 16 inference optimization techniques for achieving sub-second LLM responses, including KV-caching, speculative decoding, FlashAttention, and various parallelism methods.
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Inference optimizations I’d study if I wanted sub-second LLM responses:
1.KV-Caching 2.Speculative Decoding 3.FlashAttention 4.PagedAttention 5.Batch Inference 6.Early Exit Decoding 7.Parallel Decoding 8.Mixed Precision Inference 9.Quantized Kernels 10.Tensor Parallelism 11.Pipeline Parallelism 12.Sequence Parallelism 13.Graph Optimization (ONNX, TensorRT) 14.Dynamic Batching 15.Memory Offloading 16.Streaming Generation
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