Introducing DSGym: A New Framework for Evaluating Data Science Agents
DSGym is a new framework for evaluating and training data science agents, offering standardized solutions.
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.
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.
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.
Learn to build a workflow for Gemma 3 1B Instruct with Hugging Face.