VincentGranville/Large-Language-Models
A repository implementing xLLM 1.0 architecture with smart crawling, knowledge graph discovery, and word embeddings for RAG-style enriched prompt generation.
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The repository provides implementations around large language models including the xLLM architecture, which focuses on smart crawling of sources like Wolfram, Wikipedia, and ArXiv to build knowledge graphs. It generates enriched prompts for various LLM providers and creates category structures with word embeddings. The project includes Python scripts for crawling, embedding generation, and knowledge discovery, distributed as part of a larger GenAI course.
Frequently asked
- What is VincentGranville/Large-Language-Models?
- A repository implementing xLLM 1.0 architecture with smart crawling, knowledge graph discovery, and word embeddings for RAG-style enriched prompt generation.
- Is Large-Language-Models open source?
- Yes — VincentGranville/Large-Language-Models is an open-source project tracked on heatdrop.
- What language is Large-Language-Models written in?
- VincentGranville/Large-Language-Models is primarily written in TeX.
- How popular is Large-Language-Models?
- VincentGranville/Large-Language-Models has 475 stars on GitHub.
- Where can I find Large-Language-Models?
- VincentGranville/Large-Language-Models is on GitHub at https://github.com/VincentGranville/Large-Language-Models.