Releases

Perplexity launched its native Android application.

Baidu began transforming Wenku into an ERNIE-powered document and creativity platform.

AWS launched Inferentia2-powered EC2 instances for large-scale generative-AI inference.

Scale launched EGP as a model-agnostic enterprise platform for deploying secure generative-AI applications with proprietary data, fine-tuning, evaluation, and red teaming.

Scale launched Donovan, a secure decision-support platform using large language models, retrieval, and mission data for government and defense users.

Google Cloud launches Model Garden to discover, customize and deploy Google and third-party foundation models.

IBM Consulting launched a center with more than 1,000 specialists to support enterprise generative-AI adoption.

IBM Consulting announced a dedicated generative-AI center and delivery practice alongside watsonx.

IBM announced watsonx as an integrated AI and data platform for enterprise foundation-model development and governance.

Hugging Face launched HuggingChat, an open-source conversational interface initially powered by an OpenAssistant model.

AWS made its generative-AI coding assistant generally available, including a free individual tier and reference tracking.

AWS announced a managed service for building generative-AI applications with foundation models from Amazon and third parties.

CoreWeave publicly detailed its managed inference service for securely serving AI models at scale.

Baidu launched an ERNIE-powered enterprise coding assistant.

Anthropic launched an early Claude integration for Slack workspaces.

Perplexity launched its native conversational answer-engine application for iPhone and iPad.

Microsoft introduces Security Copilot, a generative-AI assistant for security investigation, threat intelligence and response.

Baidu AI Cloud launched Qianfan as an enterprise foundation-model and application-development platform.

OpenAI introduced plugins connecting ChatGPT to third-party applications and fresh information.

GitHub introduces Copilot X, including conversational Copilot Chat experiences across editors, pull requests and command-line workflows.

Oracle expanded bare-metal GPU instances and high-performance networking for large AI training workloads.

CoreWeave made large-scale NVIDIA H100 Tensor Core GPU infrastructure available for generative-AI training and inference workloads.

Microsoft launches Bing Image Creator, integrating generative image creation into Bing chat and the Edge sidebar.

Google begins opening Bard access in the United States and United Kingdom as an early generative-AI experiment.

NVIDIA launched DGX Cloud, providing browser-based access to managed AI supercomputing infrastructure.

NVIDIA announced broad H100 availability through leading cloud and server providers as generative AI demand surged.

NVIDIA introduced cloud services for enterprises to build custom language and visual generative AI models.

Baidu unveiled its generative conversational assistant, Wenxin Yiyan/ERNIE Bot.

Microsoft introduces Microsoft 365 Copilot and Business Chat, combining large language models with Microsoft Graph and productivity applications.

Google Cloud announces generative AI capabilities in Vertex AI and Generative AI App Builder for enterprise customers.

Microsoft introduces Dynamics 365 Copilot across sales, service, marketing, supply chain and business workflows.

Microsoft launches a new AI-powered Bing and Edge with conversational search, synthesized answers and content generation.

Google announces Bard, a LaMDA-powered conversational AI service, for trusted testers ahead of public access.

OpenAI launched the $20-per-month ChatGPT Plus subscription in the United States.

Microsoft makes Azure OpenAI Service generally available with enterprise access to OpenAI models through Azure.

Cohere added governed connectors to ground generative applications in enterprise repositories and data systems.

Scale launched Outlier to connect subject-matter experts with generative-AI training and evaluation projects.

Hugging Face expanded its organization offering with team and enterprise plans for private repositories, access control, governance, and support.

Perplexity launched its citation-first conversational answer engine for real-time web search.

OpenAI launched ChatGPT as a conversational research preview.

Amazon introduced an AI and computer-vision system able to identify and handle individual products.

The BigCode project released The Stack, a large permissively licensed source-code dataset with tools for governance and opt-out.

Meta AI published hundreds of millions of predicted metagenomic protein structures with ESMFold.

MLflow 2.0 expanded evaluation, pipelines and deployment workflows for production machine learning.

Microsoft announces Designer, an AI-powered graphic-design application using generative image technology.

AWS launched Trainium-powered EC2 instances for high-performance deep-learning training.

Hugging Face launched managed, autoscaling dedicated endpoints for deploying models from the Hub.

OpenAI removed the DALL-E beta waitlist and expanded access to new users.

NVIDIA introduced BioNeMo, a generative AI service for chemistry and biomolecular research.

Diffusers added first-class support for Stable Diffusion, enabling local and hosted generation workflows around the newly released open model.

Hugging Face launched its enterprise platform around Private Hub, secure collaboration, governance, deployment, and organizational support.

Hugging Face launched Private Hub as a secure and compliant platform for organizations to collaborate on models, datasets, and applications.

Baidu launched an ERNIE-powered AI art and creative-generation service.

The AlphaFold database expands to predicted structures for nearly every catalogued protein known to science.

Baidu unveiled its sixth-generation purpose-built autonomous vehicle.

AWS introduced its generative-AI coding companion in preview.

Amazon unveiled its first fully autonomous mobile robot for safely operating around employees.

GitHub Copilot becomes generally available to individual developers as a subscription product.

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

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.

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

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

Cohere began offering enterprise model deployment within customer-controlled cloud and on-premises environments.

Cohere launched a free educational curriculum covering large language models, embeddings and semantic search.

Cohere established its open-science research initiative, now known as Cohere Labs, to support collaborative machine-learning research.

AWS introduced a no-code visual interface for generating machine-learning predictions.

Oracle introduced a portfolio of managed AI APIs spanning language, speech, vision, anomaly detection and forecasting.

Microsoft introduces Azure OpenAI Service, providing managed access to OpenAI models through Azure's enterprise cloud controls.

Scale moved Rapid into general availability for fast labeling experiments without data minimums.

Hugging Face launched Spaces with native Gradio support, allowing community members to host interactive machine-learning demos on the Hub.

Cohere provided a browser playground for testing its hosted language models and generation settings.

NVIDIA made its AI Enterprise software suite generally available.

The Telum announcement established a new generation of IBM infrastructure with integrated AI acceleration.

IBM unveiled Telum with on-chip AI acceleration for high-volume transactional inference.

Baidu said its second-generation Kunlun AI chip had entered mass production.

DeepMind and EMBL-EBI launch a freely accessible database of AlphaFold protein structure predictions.

GitHub launches Copilot in technical preview as an AI pair programmer that suggests code inside the editor.

NVIDIA made Fleet Command generally available for centrally deploying and managing edge AI applications.

NVIDIA launched a hosted enterprise program offering immediate access to its end-to-end AI infrastructure and software stack.

Hugging Face launched AutoTrain to automate model training and fine-tuning from user-provided datasets.

Databricks introduced a managed Feature Store integrated with Delta Lake, MLflow and model serving.

Databricks introduced Unity Catalog as a unified governance layer for data and AI assets across clouds.

Databricks introduced AutoML to automatically train models while generating editable notebooks.

Google announces fourth-generation TPU pods for large-scale machine-learning training.

Google Cloud launches Vertex AI as a unified platform for building, deploying and operating ML models.

Hugging Face introduced a paid individual plan with expanded private, storage, and compute capabilities on the Hub.

NVIDIA introduced Morpheus for real-time AI-assisted threat detection using GPUs and BlueField DPUs.

NVIDIA introduced Base Command to provision, schedule and operate shared DGX SuperPOD AI infrastructure.

NVIDIA announced an enterprise software suite for virtualized AI workloads on VMware vSphere.

NVIDIA opened the Omniverse collaboration and simulation platform to beta users.

AWS introduced a HIPAA-eligible health data lake using FHIR and machine learning.

AWS introduced tools for bias detection and model explainability.

AWS introduced machine-learning-based anomaly detection for business and operational metrics.

AWS introduced an end-to-end condition-monitoring system using sensors and machine learning.

AWS introduced predictive maintenance from industrial sensor data.

AWS introduced a computer-vision service for visual defect and anomaly detection.

AWS introduced an ML-powered service for detecting abnormal operational behavior and recommending remediation.