Nomadic raises $8.4 million to process data from autonomous vehicles
Nomadic raised $8.4 million to process data from autonomous vehicles.
Machine Learning
(14)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.
Optimize UC Berkeley's Machine Learning Course for the AI Age
UC Berkeley updates its machine learning course to help students adapt to changes in the tech industry.
Together AI Enhances Fine-Tuning Service with Tool Support
Together AI expands its fine-tuning service by adding support for tool calls and reasoning.
Together AI Achieves 90% Faster Training with NVIDIA Blackwell
Together AI announces 90% faster training using the NVIDIA Blackwell platform.
Create a Simple Embedded DSL for AI with ThunderKittens
ThunderKittens is a new library simplifying AI kernel work, making code more accessible and understandable.
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.
·
1 просмотров
Fine-Tuning Platform Upgrades: Larger Models and New Features
Enhancements to the Fine-Tuning Platform: new opportunities for large model training.
Accelerate Attention with FlashAttention-3: New Capabilities and Performance
FlashAttention-3 significantly accelerates attention in AI models, achieving 1.2 PFLOPS with FP8 and improving GPU performance.
Enhance Batch Inference API: New UI and Model Support
The enhanced Batch Inference API offers a new UI and support for all models with limits increased to 30 billion tokens.
·
1 просмотров
Research and Product Announcements at AI Native Conf
At AI Native Conf, Together unveiled new AI technologies and products.
Extract Text from Documents and Images with Datalab Marker and OCR
Datalab has launched new tools for extracting text from documents and images.
·
1 просмотров
Accelerate inference with torch.compile caching
Torch.compile caching accelerates model boot times in PyTorch by 2-3 times.