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OpenAI 2 years ago 49
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.
OpenAI 2 years ago 42
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.
OpenAI 2 years ago 35
Holiday Extras deployed ChatGPT Enterprise to all teams across the company. The organization recovered 500 hours of work per week through the rollout. Employees now use the tool to automate routine tasks and streamline decision-making processes.
Hugging Face 2 years ago 30
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.
Hugging Face 2 years ago 44
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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TLDRocket
8 October 2026
AI’s biggest throughline today is the push to make agents work where people actually live and act: on-device, inside constrained environments, with tighter cost and accountability. Liquid AI says it’s building personal AI systems that run on the user’s hardware using device-level context rather than borrowing elastic cloud capacity, and it’s optimized for Snapdragon processors. Its Liquid Context aims to be compressed, retained, and continuously improved over time through agent software plus “observability loops” that track what the system knows and how it changes. The pitch isn’t just privacy theater; it’s practicality, with Mercedes-Benz cars explicitly in the plan.
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