
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
A ranking algorithm that enhances the relevance of search results
Memory in LLMs is crucial for context, knowledge retrieval, and coherent text generation in artificial
RAG integrates Milvus and Langchain for improved responses.
LLMs are finely tuned to deliver optimal results across diverse tasks.
Explore the capabilities of Nvidia’s Neva 22B and Microsoft’s Kosmos-2 multimodal LLM in event reporting,
Exploring the energy consumption of LLMs at different stages of applications
RAG and ICL have emerged as techniques to enhance the capabilities of LLMs
By integrating textual, visual, and other modalities, MultiModal LLMs pave the way for human-like intelligence.
Discover the power of llama-agents: a comprehensive framework for creating, iterating, and deploying efficient multi-agent
StreamSpeech pioneers real-time speech-to-speech translation, leveraging multi-task learning to enhance speed and accuracy significantly.
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