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.
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.
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.
DSGym is a new framework for evaluating and training data science agents, offering standardized solutions.
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.
Datalab has launched new tools for extracting text from documents and images.
Torch.compile caching accelerates model boot times in PyTorch by 2-3 times.
Google has launched Veo 3.1 Lite - the cost-effective video generation model for developers.
