Increasing accuracy of pediatric visit notes
Summer Health uses OpenAI models to transcribe and summarize pediatric visit notes, aiming to improve accuracy and reduce administrative burden.
OpenAI News·14 Dec
Search signals, briefings, company results, benchmarks and glossary terms.
Search signals, briefings, company results, benchmarks and glossary terms.
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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 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.
Hugging Face published a deep dive on the DROP benchmark within its Open LLM Leaderboard, analyzing model performance.
Sam Altman returns as CEO of OpenAI, Mira Murati as CTO, Greg Brockman as President; new initial board appointed.
OpenAI announced a leadership transition, with Sam Altman returning as CEO and a new initial board of Bret Taylor (Chair), Larry Summers, and Adam D'Angelo.
OpenAI announced new data partnerships to create both open-source and private datasets for AI model training.
Hugging Face blog post claims Llama 2 inference on AWS Inferentia2 offers significant cost-performance improvements over A10G GPUs.
Hugging Face introduces Prodigy-HF, a direct integration with Prodigy for dataset annotation, streamlining data curation for ML models.
A Hugging Face blog compared Roberta, Llama 2, and Mistral LLMs for disaster tweet analysis using LoRA fine-tuning.
OpenAI announced GPT-4 Turbo with 128K context, lower pricing, a new Assistants API, GPT-4 Turbo with Vision, and the DALL·E 3 API.
Hugging Face published a blog on creating a personal coding assistant by fine-tuning an open-source model like Code Llama on proprietary code.
OpenAI announced a new 'Preparedness' team and a challenge focused on mitigating catastrophic risks from highly-capable AI systems.
OpenAI detailed its frontier risk framework, including threat assessments, evaluations, and safety mitigations for advanced AI models.
Frontier Model Forum, comprising OpenAI, Anthropic, Google, and Microsoft, appointed an Executive Director and launched a $10M AI Safety Fund.
Hugging Face announced new inference endpoints specifically for deploying embedding models, targeting enterprise use cases.
Reflections from the AI Engineer Summit highlight deployment challenges, backward compatibility, and multi-modality.
OpenAI published a general explanation of its core technologies, including model architectures, training processes, and safety principles.
Typeform claims to use GPT-3.5 and GPT-4 to convert traditional online forms into dynamic, conversational data collection experiences.
Ironclad uses OpenAI's GPT-4 to streamline the contract review process, demonstrating application in legal tech.
OpenAI highlights Retool's low-code platform for secure, rapid development of business applications using GPT-4.
Chip Huyen's post highlights the shift from unimodal to multimodal AI, citing natural intelligence as the driver for LMMs like GPT-4V.
Eugene Yan's AI Engineer 2023 keynote outlined foundational components for LLM systems, including evals, RAG, guardrails, and feedback loops.
Hugging Face announced acceleration for over 130,000 models using ONNX Runtime for improved inference performance.
Hugging Face demonstrates deploying a generative AI comic factory using their Inference API, illustrating model hosting for creative applications.
Hugging Face published a tutorial on finetuning Stable Diffusion models using Direct Preference Optimization (DDPO) via their TRL library.
Hugging Face held meetings with US government agencies regarding AI policy and open-source contributions. Details of discussions are not public.
Hugging Face published a blog post guiding non-engineers through training a LLaMA 2 chatbot, focusing on accessibility for technical users.
Mistral AI's founding vision emphasizes developing open-source frontier models, positioning itself as an alternative to closed-source AI providers.
Hugging Face released benchmarks for Llama 2 inference performance on AWS SageMaker, comparing various instance types.
OpenAI released a system card for GPT-4V, detailing capabilities, limitations, and safety considerations for multimodal applications.
OpenAI announced an open call for a Red Teaming Network, inviting domain experts to improve model safety.
Rocket Money leveraged Hugging Face to manage and scale ML models in production, focusing on handling model volatility.
Hugging Face published a blog on LLM optimization techniques covering quantization, distillation, and efficient inference for production deployments.
OpenAI established a new office in Dublin, Ireland, expanding its European presence.
Hugging Face detailed fine-tuning Llama 2 70B with PyTorch FSDP, showcasing a method for distributed training on open-source LLMs.
OpenAI announced its first developer conference, 'DevDay,' scheduled for November 6 in San Francisco, with a livestream keynote.
Fetch reduced ML processing latency by 50% leveraging Amazon SageMaker and Hugging Face infrastructure, indicating potential for optimization.
OpenAI published a guide for educators on using ChatGPT in classrooms, covering prompts, limitations, AI detector efficacy, and bias.
Meta released Code Llama, a large language model fine-tuned for code generation, available in several variants including Python-specific.
OpenAI announced a partnership with Scale AI to offer fine-tuning services for enterprises utilizing OpenAI's advanced models.
OpenAI announced the general availability of fine-tuning for GPT-3.5 Turbo, allowing developers to customize the model with proprietary data.
OpenAI acquired Global Illumination, a startup focused on AI tools and experiences, integrating their entire team into OpenAI.
Chip Huyen identifies 10 major research directions for improving LLMs, highlighting multimodality, new architectures, and GPU alternatives.
OpenAI claims to use GPT-4 for content policy definition and moderation, improving consistency and reducing human intervention.
Eugene Yan outlines a framework for matching LLM patterns (e.g., external/internal, data/non-data) to enterprise problem types.
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