
A Deep Dive into Federated Learning of LLMs
Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources,
Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources,
DeepSeek-Prover-V2 combines informal reasoning and formal proof steps to solve complex theorems , achieving top
Browser-Use is an open-source Python library that lets LLM-powered agents interact with websites via natural
Janus-Pro advances multimodal AI by decoupling visual understanding and generation, optimizing training strategies for superior
Transformer2 is a revolutionary framework enhancing LLMs with self-adaptive capabilities through Singular Value Fine-Tuning and
Smolagents enable large language models (LLMs) to handle dynamic workflows with ease. Learn how its
AI hallucinations challenge generative models’ reliability in critical applications. Learn about advanced mitigation techniques, including
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
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