
Mastering Data Compression with LLMs via LMCompress
LMCompress uses large language models to achieve state of the art, lossless compression across text,
LMCompress uses large language models to achieve state of the art, lossless compression across text,
AlphaEvolve by DeepMind evolves and optimizes code using LLMs and evolutionary algorithms, enabling breakthroughs in
J1 by Meta AI is a reasoning-focused LLM judge trained with synthetic data and verifiable
RAG integrates Milvus and Langchain for improved responses.
RAG and ICL have emerged as techniques to enhance the capabilities of LLMs
RAVEN enhances vision-language models using multitask retrieval-augmented learning for efficient, sustainable AI.
Deep Lake: an advanced lakehouse for efficient AI data storage and retrieval, perfect for RAG
Using LlamaIndex and LlamaParse for RAG implementation by preparing Excel data for LLM applications.
RAG elevates understanding: integrating external knowledge sources into language model generation process
Discover how LLava integrates text and visual data to enhance AI capabilities in multimodal applications.
Explore LanceDB, an advanced open-source vector database optimized for high-performance AI applications and multimodal data
Understand and implement advanced RAG on complex PDFs with LlamaParse.
Learn how re-ranking in Retrieval-Augmented Generation boosts relevance, enhancing summarization and question answering accuracy.
We noticed you're visiting from India. We've updated our prices to Indian rupee for your shopping convenience. Use United States (US) dollar instead. Dismiss