llm.c: Karpathy's Minimal C Implementation of LLM Training
Most developers and researchers who work with large language models interact with them through high-level frameworks like PyTorch or Hugging Face …
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AI
LLM Scraper: Extract Structured Data from Web Pages Using LLMs
Traditional web scraping relies on brittle CSS selectors and XPath expressions that break the moment a site updates its markup. LLM Scraper takes …
LLM Graph Builder: Neo4j's RAG-to-Graph Pipeline
The limitations of traditional Retrieval-Augmented Generation (RAG) have become increasingly clear as organizations deploy AI systems in …
LlamaFactory: Open-Source LLM Fine-Tuning Framework
Fine-tuning large language models was once a complex, resource-intensive process reserved for organizations with large GPU clusters. LlamaFactory …
llama.cpp: High-Performance LLM Inference on CPU and GPU
The dream of running powerful language models entirely on your own hardware, without sending data to cloud APIs, was once considered impractical …
LLaMA-VID: An Image is Worth 2 Tokens -- Efficient Long Video Understanding with LLMs
LLaMA-VID (Large Language and Video Assistant) is an ECCV 2024 research project that tackles the fundamental bottleneck in video understanding …