Releases

Hugging Face introduced its high-performance Rust-backed Tokenizers library for production-scale text preprocessing.

Microsoft open-sources DeepSpeed with the ZeRO optimizer to reduce the compute and memory cost of large-model training.

Oracle launched a managed collaborative environment for building, training and deploying machine-learning models.

Microsoft introduces Turing-NLG, a 17-billion-parameter generative language model and, at the time, the largest published language model.

Databricks articulated the lakehouse architecture, combining data-lake openness with data-warehouse management and performance.

Foundry ML capabilities became available for operational machine learning.

Model Studio became available for developing and operationalizing machine-learning models.

Foundry added managed coding environments for data science and software work.

Baidu released its open NLP development library for PaddlePaddle.

CoreWeave established a managed, multi-tenant Kubernetes cloud running directly on bare metal for GPU-accelerated machine-learning and inference workloads.

Scale began supporting U.S. defense and national-security AI programs, extending its data infrastructure into government missions.

Hugging Face raised $15 million in a Series A led by Lux Capital to expand its open-source natural-language-processing platform.

AWS launched automated model building with full visibility into generated models and notebooks.

AWS launched a web-based integrated development environment for machine learning.

AWS introduced managed human-review workflows for machine-learning predictions.

AWS introduced an intelligent enterprise-search service using machine learning and natural-language queries.

AWS introduced ML-powered code review and performance recommendations.

AWS made Inferentia-powered EC2 instances generally available for machine-learning inference.

AWS introduced a generative-AI learning service and musical keyboard.

CoreWeave launched its specialized cloud business around on-demand NVIDIA GPU infrastructure for compute-intensive workloads.

After the cryptocurrency downturn, the company redirected its GPU fleet toward accelerated cloud workloads and changed its name to CoreWeave, Inc.

OpenAI completed the staged GPT-2 release with the 1.5-billion-parameter model and accompanying research.

Microsoft organizes Project Turing to develop large language models shared across Bing, Office, Dynamics and Azure.

Google researchers publish the T5 approach and Colossal Clean Crawled Corpus, framing diverse NLP tasks in one text-to-text format.

Databricks raised $400 million in Series F financing at a $6.2 billion valuation.