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Monday, 18 March 2024

Enterprise-ready trust and safety

OpenAI 2 years ago 42

Salesforce has integrated OpenAI's large language models into its platform to enable customer applications. The integration uses OpenAI's enterprise-grade models with built-in safety features and data handling designed for business use. Salesforce customers can now embed AI capabilities directly into their customer-facing applications without building separate AI infrastructure.

Reimagining the email experience with AI

OpenAI 2 years ago 33

Superhuman has partnered with OpenAI to integrate AI capabilities into its email platform. The service now offers AI-powered features including message summarization, smart replies, and automated categorization to streamline inbox management. Users can process email more quickly and reduce time spent on routine tasks through these automated functions.

Quanto: a PyTorch quantization backend for Optimum

Hugging Face 2 years ago 28

Hugging Face released Quanto, a PyTorch quantization backend for Optimum that reduces model size and computational costs by converting weights and activations to lower-precision data types like int8 or float8. The tool supports int2, int4, int8, and float8 weights across any model architecture and device (CPU, GPU, Apple Silicon), with accelerated int8-int8 and mixed-precision matrix multiplications on CUDA hardware. Quanto integrates directly into the transformers library, allowing developers to quantize models in a few lines of code without restricting themselves to specific model configurations or device types.

Easily Train Models with H100 GPUs on NVIDIA DGX Cloud

Hugging Face 2 years ago 37

Hugging Face launched Train on DGX Cloud, a service allowing Enterprise Hub organizations to fine-tune AI models using NVIDIA H100 GPUs through a no-code interface integrated into the Hugging Face Hub. The service charges $8.25 per GPU hour for H100 instances, with an example showing that fine-tuning Mistral 7B on 1,500 samples costs approximately $0.45. Users can now access GPU compute on-demand without writing training scripts, with fine-tuned models automatically saved to private repositories. (Note: The service was deprecated as of April 10, 2025.)

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