Releases

Microsoft releases the Responsible AI Dashboard, combining fairness, interpretability, error analysis and causal tools in one interface.

Google Research introduces Imagen, a text-to-image diffusion model emphasizing photorealism and language understanding.

Hugging Face raised $100 million in Series C funding led by Lux Capital at a reported $2 billion post-money valuation.

Meta released the Open Pretrained Transformer family and provided OPT-175B access to researchers.

Baidu released an inference and deployment toolkit for AI models.

Anthropic raised $580 million to build steerable, interpretable, and robust AI systems and expand its research infrastructure.

Modal raised $7 million in seed financing to build its serverless cloud platform.

OpenAI introduced DALL-E 2 with higher-resolution image generation and editing capabilities.

IBM introduced z16 with Telum-powered real-time AI inference for mission-critical transactions.

Google Research introduces the 540-billion-parameter Pathways Language Model and reports strong few-shot performance across hundreds of tasks.

NVIDIA expanded TAO Toolkit integration for fine-tuning and optimizing pretrained production AI models.

NVIDIA made its end-to-end GPU-accelerated recommender AI framework generally available.

NVIDIA made its multilingual speech AI SDK generally available.

NVIDIA announced its fourth-generation DGX system powered by eight H100 GPUs.

NVIDIA launched Jetson AGX Orin for next-generation robotics and autonomous machines.

NVIDIA announced the Grace Hopper Superchip, pairing a Grace CPU with a Hopper GPU using coherent memory.

NVIDIA announced the Hopper architecture and H100 GPU with a Transformer Engine for large AI models.

Microsoft completes its acquisition of Nuance, adding clinical speech recognition, ambient intelligence and conversational AI to its portfolio.

Hugging Face introduced browser previews and automatic processing for datasets hosted on the Hub.

Hugging Face introduced SafeTensors as a fast tensor serialization format designed to avoid arbitrary-code execution.

Cohere raised $125 million in a Series B led by Tiger Global to expand its enterprise language-model platform.

Scale expanded its data engine beyond perception data into expert demonstrations, preference feedback, red teaming, and reinforcement learning from human feedback for language models.

OpenAI introduced instruction-following models trained with human feedback.

Meta open-sourced TorchRec, a PyTorch library for large-scale recommendation systems.

OpenAI released a new endpoint and model families for text and code embeddings.