llms▌

vLLM achieves 24x higher throughput than standard transformers through PagedAttention (block-based KV cache) and continuous batching (mixing prefill/decode requests).

Practical guidance for building effective AI applications using techniques from 60 product leaders and practitioners. \n \n Covers core prompting patterns: few-shot examples, decomposition for complex tasks, self-criticism, and context placement for cache efficiency \n Emphasizes architecture decisions over prompt tuning: context engineering, RAG data preparation, layered model supervision, and specialized models for specific tasks \n Provides evaluation frameworks: mandatory evals with binary P

LitGPT provides 20+ pretrained LLM implementations with clean, readable code and production-ready training workflows.

Megatron-Core trains LLMs from 2B to 462B parameters with up to 47% Model FLOP Utilization on H100 GPUs through advanced parallelism strategies.

lm-evaluation-harness evaluates LLMs across 60+ academic benchmarks using standardized prompts and metrics.

Maintain accurate llms.txt files that guide LLMs through repository documentation and structure. \n \n Analyzes current repository state against the official llms.txt specification to identify outdated, missing, or incorrect file references \n Organizes essential documentation into logical H2 sections (Documentation, Specifications, Examples, Configuration, Optional) with properly formatted markdown links \n Validates compliance with https://llmstxt.org/ format requirements including H1 header,

Generates a specification-compliant llms.txt file that guides LLMs through repository structure and documentation. \n \n Analyzes repository layout, identifies key files (READMEs, specs, examples, configuration), and catalogs documentation structure before generation \n Creates llms.txt following the official specification at https://llmstxt.org/ with H1 project name, blockquote summary, and organized H2 file sections \n Organizes files into logical categories (Documentation, Specifications, Exa