
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
DeepSeek-R1 harnesses reinforcement learning to achieve cutting-edge reasoning capabilities, outperforming traditional SFT approaches. Discover its
Titans redefine neural memory by integrating short- and long-term components for efficient retention and retrieval.
CAG eliminates retrieval latency and simplifies knowledge workflows by preloading and caching context. Learn how
vdr-2b-multi-v1 transforms visual document retrieval with multilingual embeddings, faster inference, and reduced VRAM usage. This
Knowledge Augmented Generation combines knowledge graphs and language models to deliver accurate, logical, and domain-specific
NVIDIA Cosmos revolutionizes Physical AI with digital twins and cutting-edge training methodologies. This article explores
Sai Srikanth Gorthy shares his journey, achievements, and insights after earning the prestigious CDS credential.
Large Language Models often struggle with factual inaccuracies, or hallucinations, despite their advanced instruction-following abilities.
Large Concept Models (LCMs) revolutionize NLP with semantic reasoning, hierarchical processing, and cross-modal integration. This
PaliGemma 2 redefines Vision-Language Models with unmatched versatility and precision. Explore its architecture, innovations, and
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