Build Deep Agents for Enterprise Search with NVIDIA AI-Q
Learn how to build deep agents for enterprise search using NVIDIA AI-Q and LangChain.
Machine learning is the branch of AI where algorithms learn from data without explicit programming. This section covers supervised, unsupervised, and reinforcement learning techniques. Discover how ML models solve classification, prediction, and optimization problems.
Learn how to build deep agents for enterprise search using NVIDIA AI-Q and LangChain.
NVIDIA transforms networks into AI grids, enabling deterministic inference and hyper-personalized AI experiences.
Nomadic raised $8.4 million to process data from autonomous vehicles.
UC Berkeley updates its machine learning course to help students adapt to changes in the tech industry.
Together AI expands its fine-tuning service by adding support for tool calls and reasoning.
DSGym is a new framework for evaluating and training data science agents, offering standardized solutions.
ThunderKittens is a new library simplifying AI kernel work, making code more accessible and understandable.
Together AI announces 90% faster training using the NVIDIA Blackwell platform.
FlashAttention-3 significantly accelerates attention in AI models, achieving 1.2 PFLOPS with FP8 and improving GPU performance.
Enhancements to the Fine-Tuning Platform: new opportunities for large model training.
The enhanced Batch Inference API offers a new UI and support for all models with limits increased to 30 billion tokens.
At AI Native Conf, Together unveiled new AI technologies and products.