AMD Pervasive AI Developer Contest!
AMD launched a developer contest on Hugging Face focused on pervasive AI, indicating efforts to expand its AI hardware ecosystem.
Hugging Face Blog·14 Feb 2024
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AMD launched a developer contest on Hugging Face focused on pervasive AI, indicating efforts to expand its AI hardware ecosystem.
Hugging Face now supports OpenAI's Messages API standard, allowing models like Llama-3 to be called with OpenAI API syntax.
Hugging Face introduced NPHardEval, a new leaderboard to assess LLM reasoning across complexity classes with dynamic updates.
OpenAI published a response to the NIST Executive Order on AI, outlining their approach to safety, security, and responsible development.
Hugging Face demonstrates Constitutional AI principles applied to open LLMs, enhancing safety and alignment without human feedback.
Hugging Face released Text Generation Inference support for AWS Inferentia2, enabling optimized large language model deployment on AWS hardware.
Hugging Face integrated Patch Time Series Transformer for enhanced time series forecasting, offering a new open-source option for sequential data.
OpenAI research indicates GPT-4 provides a mild uplift in biological threat creation accuracy for experts and students.
Hugging Face launched an open-source leaderboard to track and compare hallucination rates across various large language models.
Hugging Face launched the AI Secure LLM Safety Leaderboard, evaluating models on jailbreaking and data exfiltration vulnerabilities.
OpenAI released new embedding models (text-embedding-3-small and text-embedding-3-large) and updated the GPT-4 Turbo and GPT-3.5 Turbo APIs.
Hugging Face and Google announced a partnership focused on open AI development, including deeper integration of Hugging Face models on Google Cloud.
Understanding LLM generation parameters like temperature, top-k, and top-p is critical for controlling model output determinism and reliability.
OpenAI outlined its strategy for the 2024 elections, focusing on preventing abuse, improving transparency of AI-generated content, and providing accurate voting information.
Hugging Face now allows users to run ComfyUI workflows, a popular open-source stable diffusion UI, directly within Gradio on Hugging Face Spaces.
Digital Green leverages OpenAI models to build agricultural databases, aiming to increase farmer income through improved information access.
Hugging Face published a guide on setting up custom model leaderboards, using Vectara's hallucination leaderboard as an example.
OpenAI launched a GPT Store for custom GPTs, allowing users to create and share AI applications without coding, with revenue sharing planned.
Hugging Face and Unsloth claim 2x faster LLM fine-tuning using new methods; targets performance improvement for custom model development.
OpenAI claims support for journalism and defends itself against The New York Times lawsuit, asserting the lawsuit lacks merit.
Eugene Yan compiled a reading list of fundamental language modeling papers, each with a one-sentence summary, suitable for an internal paper club.
WHOOP integrated GPT-4 to provide personalized fitness and health coaching services, enhancing user engagement through conversational AI.
Summer Health uses OpenAI models to transcribe and summarize pediatric visit notes, aiming to improve accuracy and reduce administrative burden.
OpenAI launched a $10 million grant program to fund external research on AI alignment and safety for future superhuman AI systems.
OpenAI's Frontier Lab released guidance on governing agentic AI systems, outlining principles for safety, transparency, and human oversight.
OpenAI research explores using weak AI supervisors to control stronger AI models, a concept called weak-to-strong generalization, for superalignment.
OpenAI partnered with Axel Springer to integrate journalism content into AI technologies, focusing on beneficial use and content licensing.
Mistral AI released Mixtral 8x7B, a Sparse Mixture of Experts (SMoE) model, available via Hugging Face. It claims state-of-the-art performance for its size.
Hugging Face announced out-of-the-box acceleration for Large Language Models on AMD GPUs, simplifying deployment for inference workloads.
Hugging Face Optimum-NVIDIA integration claims significant LLM inference speedups with minimal code changes for NVIDIA GPUs.
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