
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
Functional tokens streamline enterprise-grade agentic systems by enhancing function prediction efficiency in language models.
Leafmap now supports one-line downloads of Google Open Buildings data, simplifying access to the largest
Deploy LangChain applications easily with LangServe, ensuring optimal performance and scalability for your AI projects.
Explore LangSmith, a platform for enhancing LLM transparency and performance through comprehensive tracing and evaluation
Master Generative AI with ADaSci’s comprehensive suite of courses, designed to elevate your career in
Discover how the langchain-huggingface package enhances NLP by integrating Hugging Face models with LangChain’s framework.
Explore and implement various embedding models in Azure AI Hub to enhance contextual search and
Learn how re-ranking in Retrieval-Augmented Generation boosts relevance, enhancing summarization and question answering accuracy.
Knowledge graphs, built using graph databases, capture data relationships for efficient modelling and reasoning. This
LangChain’s “MultiQuery Retriever” and LlamaIndex’s “Multi-Step Query Engine” enhance advanced query retrieval by ensuring precise,
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