Open-source LLMs as LangChain Agents
Hugging Face demonstrates that open-source LLMs, specifically Mixtral-8x7B, are now capable of powering agent workflows and can outperform GPT-3.5 in general-purpose reasoning tasks.
Introducing Qwen: A Comprehensive LLM and LMM Framework
Qwen is a project towards AGI consisting of a series of multilingual large language models (LLMs) and large multimodal models (LMMs), including open-source versions ranging from 1.8B to 72B parameters.
Fine-Tuning Wav2Vec2-BERT for Low-Resource ASR
Hugging Face demonstrates how to fine-tune Meta's Wav2Vec2-BERT model for Automatic Speech Recognition (ASR) in low-resource languages, achieving performance comparable to Whisper-large-v3 while being significantly faster and more resource-efficient.
PatchTSMixer added to Hugging Face Transformers – release and quick‑start guide
PatchTSMixer, a lightweight MLP‑Mixer time‑series model from IBM Research, is now released in Hugging Face Transformers, offering state‑of‑the‑art forecasting with far lower memory and runtime costs.
Preference Tuning LLMs with Direct Preference Optimization Methods – Empirical Comparison of DPO, IPO, and KTO
Hugging Face evaluated DPO, IPO and KTO alignment methods on two 7B chat models, showing DPO consistently outperforms the others when the beta hyper‑parameter is properly tuned.
OpenAI Democratic Inputs to AI Grant Program Update
OpenAI has summarized the results of its Democratic Inputs to AI grant program, detailing ten innovative projects and establishing a new Collective Alignment team to integrate public inputs into model behavior.
OpenAI 2024 Election Integrity Initiatives
OpenAI implemented a multi-layered safety strategy for 2024 worldwide elections, focusing on elevating authoritative voting information, preventing deepfakes of political figures, and disrupting covert influence operations.
Accelerating SD Turbo and SDXL Turbo Inference with ONNX Runtime and Olive
Hugging Face and Microsoft introduce optimizations using ONNX Runtime and Olive to achieve throughput gains up to 229% for SDXL Turbo and 120% for SD Turbo compared to PyTorch.
Run ComfyUI Workflows on Hugging Face Spaces with Gradio
Hugging Face provides a guide to converting complex ComfyUI workflows into Gradio applications for free, serverless deployment on Hugging Face Spaces ZeroGPU.
OpenAI and Digital Green Launch Farmer.Chat for Agricultural Extension
Digital Green has partnered with OpenAI to create Farmer.Chat, a generative AI tool that reduces the cost of agricultural extension services from $35 to $0.35 per farmer while supporting multiple languages in India and Kenya.
Hugging Face Leaderboard Templates: Implementing the Vectara HHEM Leaderboard
Hugging Face has released open-source leaderboard templates that enable developers to build dynamic LLM evaluation boards, as demonstrated by Vectara's new Hughes Hallucination Evaluation Model (HHEM) leaderboard.
ChatGPT Team Release Notes
OpenAI has launched ChatGPT Team, a self-serve plan designed for small to medium teams providing collaborative workspaces, admin tools, and enterprise-grade data privacy.
OpenAI GPT Store Launch
OpenAI has launched the GPT Store, allowing ChatGPT Plus, Team, and Enterprise users to discover, share, and monetize custom GPT versions of ChatGPT.
Unsloth and Hugging Face TRL Integration for Faster LLM Fine-tuning
Unsloth is a lightweight library that accelerates LLM fine-tuning by up to 2.7x and reduces memory usage by up to 74% with 0% accuracy degradation compared to QLoRA.
OpenAI and Journalism: Response to The New York Times Lawsuit
OpenAI asserts that training AI models on public internet data is fair use and describes the regurgitation of copyrighted content as a rare bug, responding to a lawsuit from The New York Times.
WHOOP Coach: Personalized Health Coaching via GPT-4
WHOOP has integrated OpenAI's GPT-4 to launch WHOOP Coach, an AI-powered fitness and health coach that provides personalized, on-demand guidance based on a user's unique physiological data.
aMUSEd: Efficient Text-to-Image Generation
Hugging Face has released aMUSEd, an efficient non-diffusion text-to-image model based on Masked Image Modeling (MIM) and an open reproduction of Google's MUSE.
Hugging Face SDXL Dreambooth LoRA Advanced Training Guide
Hugging Face introduces an advanced training script for SDXL Dreambooth LoRAs, combining Pivotal Tuning and the Prodigy optimizer to improve concept capture and image quality.
Speculative Decoding Enables 2× Faster Whisper Inference
Hugging Face demonstrates that speculative decoding halves Whisper transcription latency while preserving identical outputs and accuracy.
2023 Year of Open LLMs Review
Hugging Face’s 2023 recap shows a surge of open‑source LLM releases, smaller high‑performing models, and new fine‑tuning techniques that dramatically broaden access and community participation.
OpenAI Practices for Governing Agentic AI Systems
OpenAI proposes a framework of baseline responsibilities and safety best practices to ensure the responsible integration of agentic AI systems—AI that pursues complex goals with limited supervision—into society.
OpenAI Superalignment Fast Grants
OpenAI has launched a $10 million grants program to fund technical research into the alignment and safety of superhuman AI systems.
Summer Health uses GPT-4 to automate pediatric visit notes
Summer Health has integrated GPT-4 to transform pediatrician observations into clear, jargon-free visit notes, reducing administrative time per note from 10 minutes to 2 minutes.
OpenAI Weak-to-Strong Generalization Research
OpenAI researchers have demonstrated that a smaller, less capable model can supervise a larger model to elicit capabilities near GPT-3.5 levels, providing a potential path for aligning superhuman AI systems.
OpenAI and Axel Springer Partnership for AI Journalism
OpenAI and Axel Springer have partnered to integrate authoritative news content from brands like POLITICO and Business Insider into ChatGPT, while utilizing Axel Springer content for LLM training.
Mixture of Experts (MoE) Explained
Mixture of Experts (MoE) allows transformer models to scale parameters while maintaining efficient pretraining and faster inference by activating only a subset of neural network experts per token.
Mixtral 8x7B Release Notes
Mistral AI has released Mixtral 8x7B, a Mixture of Experts (MoE) model that outperforms Llama 2 70B and matches GPT-3.5 performance on most benchmarks while remaining commercially permissive under Apache 2.0.
SetFitABSA: Few-Shot Aspect Based Sentiment Analysis
Hugging Face and Intel Labs introduced SetFitABSA, a prompt-less, few-shot framework for Aspect-Based Sentiment Analysis that outperforms larger generative models like Llama 2 and T5 in low-data scenarios.
Optimum-NVIDIA Release Notes
Hugging Face has released Optimum-NVIDIA, an inference library that accelerates LLM inference on NVIDIA platforms by up to 28x using FP8 quantization and TensorRT-LLM.
Hugging Face LoRA dynamic loading speeds inference 300% and cuts latency
Hugging Face announced a dynamic LoRA loading system that reduces warm‑up time from 25 s to 3 s, delivering up to 300 % faster LoRA inference and cutting total response time from 35 s to 13 s.
Hugging Face and AMD GPU Acceleration for LLMs
Hugging Face and AMD have integrated out-of-the-box support for AMD Instinct GPUs into the Transformers library and Text Generation Inference, enabling high-performance LLM execution without code changes.
Hugging Face Open LLM Leaderboard DROP Benchmark Analysis
Hugging Face has removed the DROP benchmark from the Open LLM Leaderboard after discovering that flawed normalization and stop-token configurations caused most models to score incorrectly low.
OpenAI Leadership Update: Sam Altman Returns as CEO
Sam Altman has returned as CEO of OpenAI, supported by a new initial board and a commitment to strengthening corporate governance.
OpenAI Leadership Transition: Mira Murati Appointed Interim CEO
OpenAI has appointed Mira Murati as interim CEO following the departure of Sam Altman, who has left both the CEO role and the board of directors.
OpenAI Data Partnerships
OpenAI has launched Data Partnerships to collaborate with organizations to create public and private datasets for training AI models to improve domain-specific understanding and move toward AGI.
SDXL and Stable Diffusion Fast Inference with Latent Consistency LoRAs
Hugging Face introduces LCM LoRAs, a method to enable high-quality image generation in 4 to 8 steps for SDXL and Stable Diffusion models, significantly reducing inference time.
Prodigy-HF Integration Release Notes
Explosion has released Prodigy-HF, a plugin that enables direct fine-tuning of Hugging Face transformer models on annotated data and the ability to upload datasets directly to the Hugging Face Hub.
Deploying Llama 2 on AWS Inferentia2 with optimum-neuron
Hugging Face has integrated optimum-neuron with the AWS Neuron SDK to enable the deployment of Llama 2 models on AWS Inferentia2 accelerators for high-performance text generation.
Comparing RoBERTa, Llama 2, and Mistral for Disaster Tweet Classification with LoRA
A comparative study reveals that the smaller RoBERTa model outperforms Llama 2 and Mistral 7B in binary classification of disaster tweets when fine-tuned using Low-Rank Adaptation (LoRA).
OpenAI Introducing GPTs
OpenAI has launched GPTs, custom versions of ChatGPT that users can create for specific purposes without coding, enabling tailored AI assistants for personal, professional, or enterprise use.
OpenAI DevDay 2023: GPT-4 Turbo, Assistants API, and Multimodal Updates
OpenAI announced GPT-4 Turbo with a 128K context window, the new Assistants API for agent-like experiences, and expanded multimodal capabilities including DALL·E 3 and TTS.
Hugging Face Hub Storage Regions
Hugging Face has introduced Storage Regions for Enterprise Hub customers, allowing organizations to select where their models and datasets are stored to improve regulatory compliance and data transfer performance.
Personal Copilot: Train Your Own Coding Assistant
Hugging Face demonstrates how to create a personalized coding assistant, HugCoder, by fine-tuning StarCoder on a specific codebase using QLoRA and full fine-tuning techniques.
OpenAI Frontier Risk and Preparedness Framework
OpenAI has established a dedicated Preparedness team and a Risk-Informed Development Policy to identify, evaluate, and mitigate catastrophic risks associated with frontier AI models.
Frontier Model Forum Updates
OpenAI, Anthropic, Google, and Microsoft have appointed Chris Meserole as Executive Director of the Frontier Model Forum and established a $10 million AI Safety Fund to advance research into evaluating capable AI models.
Hugging Face and Renumics Spotlight Integration for Scalable Data Inspection
Hugging Face has integrated with Renumics Spotlight to enable interactive, one-line-of-code visualization and inspection of ML datasets, including support for multimodal data and model results.
Optimizing Stable Diffusion XL (SDXL) for Inference Speed and Memory
Hugging Face explores several optimization techniques for Stable Diffusion XL (SDXL), demonstrating how to reduce memory usage from 28GB to as low as 11.47GB and decrease inference latency from 72.2 seconds to approximately 10.3 seconds.
Deploying Embedding Models with Hugging Face Inference Endpoints
Hugging Face introduces Text Embeddings Inference (TEI) via Inference Endpoints, providing a high-performance, cost-efficient way to deploy open-source embedding models for RAG and semantic search.
The N Implementation Details of RLHF with PPO – Hugging Face Blog Summary
The Hugging Face blog post reproduces OpenAI’s 2019 RLHF codebase, matches its learning curves, and details N implementation specifics, including a key PyTorch Adam optimizer difference that causes more aggressive updates.
DALL·E 3 Integration in ChatGPT Plus and Enterprise
OpenAI has integrated DALL·E 3 into ChatGPT Plus and Enterprise, introducing a model capable of higher visual fidelity, better prompt adherence, and improved rendering of text, hands, and faces.