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llm-efficiency

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umitkacar / llm-context-optimizer

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Biological code organization system with 1,029+ production-ready snippets - 95% token reduction for Claude/GPT with AI-powered discovery & offline packs

developer-tools code-snippets code-organization cost-reduction token-reduction prompt-optimization context-management ai-assisted-coding context-compression rag-optimization chain-of-draft token-optimization llm-efficiency claude-optimization context-engineering context-pruning repository-aware gpt-optimization infinite-retrieval llm-context-window
  • Updated Nov 10, 2025
  • Python

augstentatious / UnSwagAI

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UnSwag is a memory-efficient training primitive for the JAX/TPU and PyTorch/GPU ecosystems. By mapping ReLU activations to 1-bit structural isomorphisms, UnSwag reduces activation memory by 32x with 0.000000 loss difference. - TPU Mode: Uses JAX/Pallas for massive context windows on Google TPUs. The Memory Wall is now optional.

flax pallas fine-tuning tpu jax xla memory-optimization opensource-ai gemma-2 llm-efficiency
  • Updated Dec 21, 2025
  • Python

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