✷ The archive · 11 labs · 3,062 dispatches
The labs
No more opening a dozen official blogs every morning. First-hand releases from OpenAI, Anthropic, DeepMind and the rest, each with its substance pulled out.
Segmind SD-Small and SD-Tiny Knowledge Distillation Release
Segmind open-sourced the code and pretrained weights for SD‑Small and SD‑Tiny, two diffusion models that are 35% and 55% smaller than Stable Diffusion while delivering up to 2× faster inference.
Running Uncensored Llama 2 Models Locally with Ollama
Ollama enables users to run uncensored versions of Llama 2 and other models locally, removing the alignment constraints that often lead to overly cautious or refusals in standard models.
Stable Diffusion XL on Mac with Advanced Core ML Quantization
Hugging Face and Apple have ported Stable Diffusion XL to Core ML, introducing mixed-bit palettization to reduce the UNet size by 71% while maintaining image quality on Apple Silicon Macs.
Frontier Model Forum Announcement
OpenAI, Google, Microsoft, and Anthropic have launched the Frontier Model Forum to coordinate safety standards, research, and information sharing for the development of frontier AI models.
Anthropic Frontier Threats Red Teaming for AI Safety
Anthropic has established a frontier threats red teaming framework to identify and mitigate national security risks, specifically finding that unmitigated LLMs could accelerate biological weaponization efforts within the next two to three years.
Anthropic Frontier Model Security Framework
Anthropic proposes a security framework for frontier AI models based on multi-party authorization and secure software development standards to prevent theft and misuse.
Agents.js Release: Give Tools to LLMs using JavaScript
Hugging Face has released Agents.js, a JavaScript library that enables LLMs to access and execute tools in the browser or on a server.
Hugging Face and Partners Outline Open ML Considerations for the EU AI Act
Hugging Face, in coalition with Creative Commons, Eleuther AI, GitHub, LAION, and Open Future, has proposed five key recommendations to ensure the EU AI Act supports open-source machine learning development.
OpenAI AI Governance Commitments
OpenAI has committed to a framework of internal and external red-teaming, information sharing, AI-generated content identification, and transparent reporting on model capabilities and societal risks.
Hugging Face Open Source AI Game Jam Results
Hugging Face hosted its first Open Source AI Game Jam, resulting in 88 game submissions that integrated open-source AI tools for assets, coding, and gameplay mechanics.
ChatGPT Custom Instructions Release
OpenAI has introduced custom instructions for ChatGPT, allowing users to set persistent preferences and requirements that the model considers across all future conversations.
Hugging Face Diffusers First Anniversary Overview
Hugging Face celebrates the first anniversary of the Diffusers library, highlighting its evolution into a modular toolbox for text-to-image, video, 3D, and audio generation.
OpenAI and American Journalism Project Partnership for Local News
OpenAI has partnered with the American Journalism Project (AJP) through a $10 million commitment in funding and API credits to explore how AI can enhance local journalism and counter misinformation.
Llama 2 Release and Hugging Face Integration
Meta has released Llama 2, a family of open-access large language models available for commercial use, with full integration into the Hugging Face ecosystem.
Anthropic Shows Question Decomposition Boosts Faithfulness of Model-Generated Reasoning
Anthropic announced that decomposing questions into subquestions markedly improves the faithfulness of large language model reasoning compared to standard chain‑of‑thought prompting.
Anthropic Study on Faithfulness of Chain-of-Thought Reasoning
Anthropic found that larger language models often generate unfaithful chain-of-thought explanations, with faithfulness varying widely across tasks and model sizes.
Hugging Face AI WebTV: Building an Automated Video and Music Synthesis Stream
Hugging Face developed AI WebTV, an experimental demo that uses Zeroscope and MusicGen to automatically synthesize video and music streams from LLM-generated prompts.
Open-Source Text Generation & LLM Ecosystem at Hugging Face
Hugging Face’s 2023 blog post surveys the open‑source text generation and LLM ecosystem, covering model backgrounds, licensing, serving tools, and parameter‑efficient fine‑tuning.
Fine-tuning Stable Diffusion on Intel Sapphire Rapids CPUs using Hugging Face Diffusers
Hugging Face shows how to fine-tune a Stable Diffusion model on Intel Sapphire Rapids CPUs using textual inversion with just five example images, demonstrating CPU‑based fine‑tuning via Intel Extension for PyTorch and oneCCL.
Claude 2 Release Notes
Anthropic has released Claude 2, featuring a 100K token context window, improved performance in coding and reasoning, and enhanced safety compared to Claude 1.3.
Analyzing Large Scale Qualitative Data with Viable and GPT-4
Viable leverages fine-tuned GPT-4 models to move beyond simple summarization to provide accurate, large-scale qualitative data analysis for business insights.
OpenAI Frontier AI Regulation Proposal
OpenAI and a multidisciplinary group of researchers propose a regulatory framework for frontier AI models to manage public safety risks through standard-setting, registration, and compliance mechanisms.
Making ML-powered web games with Transformers.js
Hugging Face demonstrates how to create Doodle Dash, a real-time sketch detection game that runs entirely in the browser using Transformers.js and a finetuned MobileViT model.
Deploying LLMs with Hugging Face Inference Endpoints
Hugging Face Inference Endpoints is a managed SaaS solution that allows developers to deploy open-source LLMs as production-ready APIs with features like autoscaling, scale-to-zero, and enterprise-grade security.
Hugging Face: Making a Web App Generator with Open ML Models
Hugging Face demonstrates how to build a text-to-webapp generator using NodeJS, the WizardCoder-15B model, and the Hugging Face Inference Endpoints API.
Leveraging Hugging Face for Complex Generative AI Use Cases: Writer Case Study
Hugging Face highlights its partnership with Writer, demonstrating how the company evolved from a user to a customer and open-source contributor while utilizing the Hugging Face Expert Acceleration Program for scalable LLM production.
OpenAI Global Conversations: Insights and Strategic Focus Areas
OpenAI conducted a global listening tour across 25 cities and 6 continents to gather feedback from users, developers, and policymakers to refine its AI development and deployment strategies.
Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2
Hugging Face demonstrates that fine‑tuning the BridgeTower vision‑language model on Habana Gaudi2 with Optimum Habana yields up to 2.5× speed‑over Nvidia A100 and 1.4× over H100 by using more dataloader workers and hardware‑accelerated image decoding.
Anthropic Introduces GlobalOpinionQA Framework to Measure Subjective Global Opinion Representation in LLMs
Anthropic released GlobalOpinionQA, a dataset and quantitative framework that reveals large language models often mirror US and certain European opinions, and shows how prompting or translation can shift but not fully correct these biases.
OpenAI London Office Opening
OpenAI has opened its first international office in London to expand its research and development footprint and attract global talent for the development of safe AGI.
Hugging Face Ethics and Society Newsletter #4: Bias in Text-to-Image Models
Hugging Face outlines the complex sources of bias in text-to-image models and proposes a multi-pronged approach using exploration tools, red-teaming, and documentation to detect and mitigate these biases.
Hugging Face Open LLM Leaderboard MMLU Evaluation Analysis
Hugging Face explains how different implementation details in the MMLU benchmark lead to significantly different performance scores and rankings for the same LLMs.
Panel Integration with Hugging Face Spaces
Hugging Face has integrated a Panel template into Hugging Face Spaces, allowing users to build and deploy Python-based dashboards and complex applications effortlessly.
Hugging Face Response to the U.S. NTIA Request for Comment on AI Accountability
On June 12, 2023, Hugging Face submitted a response to the U.S. NTIA’s request for comment on AI accountability, recommending that accountability mechanisms cover the full ML lifecycle, combine internal documentation with external transparency, and involve a broad range of stakeholders.
Fine-Tune MMS Adapter Models for Low-Resource ASR
Hugging Face announced that fine‑tuning adapter layers on Meta AI's Massive Multilingual Speech (MMS) models yields state‑of‑the‑art word error rates for low‑resource languages after only minutes of training, while being more memory‑efficient than full model fine‑tuning.
Autoformer – Transformers are effective for time series forecasting
Hugging Face announced that the Autoformer model is now available in the 🤗 Transformers library, showing that Transformer‑based models outperform simple linear baselines like DLinear on time‑series forecasting benchmarks.
Hugging Face Content Guidelines and Policy Update
Hugging Face has updated its Content Policy to address the unique challenges of moderating machine learning artifacts and to establish consent as a core value for protecting user rights and privacy.
Deploying Livebook Notebooks as Apps to Hugging Face Spaces
Hugging Face now supports the deployment of Livebook notebooks as interactive applications to Hugging Face Spaces, enabling Elixir-based machine learning apps to be shared easily.
Faster Stable Diffusion with Core ML on iPhone, iPad, and Mac
Hugging Face and Apple have introduced 6-bit palettization and updated attention layer optimizations in Core ML to significantly reduce memory usage and increase inference speed for Stable Diffusion on Apple devices.
OpenAI Function Calling and API Updates
OpenAI introduced function calling for gpt-4-0613 and gpt-3.5-turbo-0613, enabling models to output structured JSON for external tool and API integration.
Hugging Face and AMD Partnership for Model Acceleration
Hugging Face and AMD have partnered to optimize state-of-the-art transformer models for AMD CPUs, GPUs, and AI accelerators to improve cost-performance standards for training and inference.
Anthropic AI Accountability Recommendations for NTIA
Anthropic has proposed a comprehensive framework for AI accountability to the NTIA, focusing on standardized evaluations, risk-responsive assessments, and pre-registration of large training runs.
The Hugging Face Hub for Galleries, Libraries, Archives and Museums
Hugging Face published a guide showing how galleries, libraries, archives, and museums can use its Hub to share models, datasets, and demos, lowering barriers to machine learning in the GLAM sector.
Can Foundation Models Label Data Like Humans? Hugging Face Analysis
Hugging Face investigated whether GPT-4 can reliably replace human labelers for LLM preference evaluation, finding significant positional and verbosity biases that limit its accuracy as a proxy for human judgment.
Hugging Face Hub and DuckDB Integration for Dataset Analysis
Hugging Face now allows users to run SQL queries via DuckDB on over 50,000 public datasets automatically converted to Parquet format on the Hub.
fastText Integration with Hugging Face Hub
Hugging Face now hosts official mirrors of fastText word vectors for 157 languages and a language identification model, simplifying model access and deployment.
Falcon models release and Hugging Face ecosystem integration
Hugging Face announced the Falcon family of open Apache‑2.0 language models, highlighting Falcon‑40B’s top ranking on the Open LLM Leaderboard and showing how to run, quantize, and fine‑tune them with Hugging Face tools.
AI Speech Recognition in Unity
Hugging Face provides a guide and API for implementing state-of-the-art Automatic Speech Recognition (ASR) within Unity games to enable voice commands and NPC interactions.
OpenAI Cybersecurity Grant Program
OpenAI has launched a $1M Cybersecurity Grant Program to empower defenders and quantify AI's role in cybersecurity, later evolving to include $10M in API credits and Trusted Access for Cyber with the release of GPT-5.3-Codex.
Hugging Face Open Source AI Game Jam Announcement
Hugging Face is hosting the Open Source AI Game Jam from July 7-9, 2023, to encourage game developers to integrate open-source generative AI tools into their development workflows and game features.