New compliance and administrative tools for ChatGPT Enterprise
OpenAI introduced compliance API integrations, SCIM for user provisioning, and GPT controls for ChatGPT Enterprise customers.
OpenAI News·18 Jul 2024
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OpenAI introduced compliance API integrations, SCIM for user provisioning, and GPT controls for ChatGPT Enterprise customers.
OpenAI research on prover-verifier games aims to improve LLM output legibility, making AI solutions easier to verify.
OpenAI and Los Alamos National Laboratory partner to develop safety evaluations for biological capabilities and risks in frontier AI models.
Hugging Face and KerasHub integrated, allowing Keras users direct access to Hugging Face models and datasets.
Hugging Face details preference optimization techniques, like DPO, applied to Vision Language Models (VLMs) to align with human preferences.
Hugging Face users can now access Google Cloud TPUs for model training and inference via the Hugging Face platform.
Banque des Territoires (CDC Group) partnered with Polyconseil and Hugging Face to develop a sovereign AI solution for a French environmental program.
Eugene Yan provides a detailed guide on interviewing and hiring ML/AI engineers, covering interview structure, screening, and tips.
A new paper critiques AI agent benchmarking, arguing current methods fail to capture real-world enterprise utility and risks for complex tasks.
Hugging Face blog details acceleration of ProtST protein language model inference on Intel Gaudi 2 hardware.
Report speculates that current AI scaling laws may hit fundamental limits, impacting future model performance gains.
OpenAI developed CriticGPT, a GPT-4-based model, to critique ChatGPT responses, aiding human trainers in identifying errors during RLHF.
Eugene Yan and co-authors of O'Reilly's 'Applied LLMs' delivered a keynote on practical lessons from a year of LLM deployments at the AI Engineer 2024 conference.
Google released Gemma 2, an open LLM, with claimed performance improvements and a new 27B parameter variant.
XLSCOUT launched ParaEmbed 2.0, a new embedding model specifically designed for patents and intellectual property, with support from Hugging Face.
Microsoft detailed fine-tuning Florence-2, their vision-language model, for custom enterprise use cases on the Hugging Face platform.
Hugging Face's Ethics and Society Newsletter #6 emphasized the critical role of data quality in AI development and deployment.
OpenAI acquired Rockset, a real-time analytics database company, enhancing its infrastructure for data processing and retrieval.
OpenAI launched a Cybersecurity Grant Program to fund research into using AI for cyber defense, focusing on threat detection and response.
OpenAI research on Consistency Models aims to enable single-step, fast, high-quality image generation, addressing slow iterative sampling.
Paf, a gaming company, claims widespread adoption of ChatGPT Enterprise for developer productivity and company-wide tasks, including in its coding academy.
OpenAI's Frontier Lab claimed 10x growth using agentic sales prospecting, suggesting a potential for LLM-driven automation in lead generation.
Color Health uses GPT-4o for its Cancer Copilot, identifying missing diagnostics and generating treatment workup plans for providers.
OpenAI appointed Gen. Paul M. Nakasone, former head of NSA and Cyber Command, to its Board of Directors and Safety and Security Committee.
Hugging Face Accelerate's integration with FSDP and DeepSpeed offers flexible distributed training strategies for large models.
OpenAI and Apple announced a partnership to integrate ChatGPT into Apple's operating systems and experiences, starting later this year.
OpenAI appointed Sarah Friar as CFO and Kevin Weil as CPO, signaling a focus on commercialization and product scaling.
Hugging Face released a pre-built container for deploying embedding models on Amazon SageMaker, streamlining inference infrastructure.
OpenAI identified 16 million interpretable patterns in GPT-4 computations using sparse autoencoders, indicating progress in interpretability.
Mistral AI has launched custom model fine-tuning services, allowing enterprises to create bespoke versions of their large language models.
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