From the source

Fit More and Train Faster With ZeRO via DeepSpeed and FairScale

Capability change

Image published with the post by Hugging Face — Image from huggingface.co

Hugging Face Trainer now supports DeepSpeed and FairScale ZeRO features for training large models faster and with more memory efficiency.

From the source
If you use the Hugging Face Trainer, as of transformers v4.2.0 you have the experimental support for DeepSpeed's and FairScale's ZeRO features.
huggingface.co

Most covered

OpenAI GPT-6 and Intelligent UI for everyone
SiliconANGLE: “With GPT-6, ChatGPT’s responses are much more visually appealing and interactive”
Reporting · 33 sources
OpenAI· 7 Oct
GPT-6 and Intelligent UI for everyone
Anthropic Introducing Claude Haiku 5.5
Android Authority: “Claude Haiku 5.5 is here: The fastest, most affordable Anthropic model yet”
Reporting · 21 sources
Anthropic· 7 Oct
Introducing Claude Haiku 5.5
Google DeepMind EmbeddingGemma 2: an open, lightweight multimodal embedding model
SiliconANGLE: “Google expands EmbeddingGemma beyond text to images, audio and video”
Reporting · 10 sources
Google DeepMind· 6 Oct
EmbeddingGemma 2: an open, lightweight multimodal embedding model
Mistral AI Introducing Mistral Large 4
SiliconANGLE: “Mistral launches open-source Mistral Large 4, details AI roadmap”
Reporting · 10 sources
Mistral AI· 6 Oct
Introducing Mistral Large 4

Other stories

Other stories

Other stories

Fit More and Train Faster With ZeRO via DeepSpeed and FairScale

From the source

Other stories

The model that didn't exist, so you made it yourself

AutoSynthData: Generating Training Data for Enterprise Agents

Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Native Graphics Love ❤️

Scaling Kubernetes to 7,500 nodes