✷ The archive · 6,249 dispatches
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Everything AgentLensHQ has filed — distilled from across the AI ecosystem.
Hugging Face NVIDIA NIM API (serverless) launch and deprecation
Hugging Face launched the NVIDIA NIM API (serverless) for Enterprise Hub users, enabling pay‑as‑you‑go, serverless inference of open‑source LLMs on NVIDIA DGX Cloud H100 GPUs via an OpenAI‑compatible API.
LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs
Hugging Face introduces LAVE (LLM-Assisted VQA Evaluation) to address the rigidity of traditional VQA metrics, demonstrating a 50% accuracy gain in evaluating zero-shot performance on the Docmatix dataset.
OpenAI SearchGPT Prototype Announcement
OpenAI has introduced SearchGPT, a temporary prototype that combines AI models with real-time web information to provide direct answers with clear source citations.
Ollama Tool Support Release
Ollama has introduced tool calling support for models like Llama 3.1, allowing local LLMs to interact with external APIs, functions, and code interpreters.
Mistral Large 2 release notes / what's new
Mistral AI has released Mistral Large 2, a 123B parameter model designed for high throughput single-node inference with competitive performance in coding, reasoning, and multilingual capabilities.
OpenAI Rule-Based Rewards for Model Safety
OpenAI has introduced Rule-Based Rewards (RBRs), a method that uses explicit, step-by-step rules to align AI safety behavior without requiring extensive human data collection.
Llama 3.1 Release Notes: Multilinguality, Long Context, and 405B Model
Meta has released Llama 3.1, featuring models in 8B, 70B, and 405B sizes with 128K context length, multilingual support for 8 languages, and a permissive license allowing synthetic data generation.
Running Mistral 7B with Core ML
Hugging Face demonstrates how to run Mistral 7B on Mac using new Core ML features from WWDC 24, achieving a model size reduction to under 4GB using 4-bit block-wise quantization.
GPT-4o mini release notes / what's new
OpenAI has released GPT-4o mini, a highly cost-efficient small model that outperforms GPT-3.5 Turbo and other small models on key reasoning and multimodal benchmarks.
Mistral NeMo Release Notes
Mistral AI and NVIDIA have released Mistral NeMo, a 12B parameter model featuring a 128k context window and a new, highly efficient multilingual tokenizer called Tekken.
Docmatix Dataset Release
Hugging Face has released Docmatix, a Document Visual Question Answering (DocVQA) dataset featuring 2.4 million images and 9.5 million Q/A pairs, providing a 240x increase in scale over previous datasets.
TGI Multi-LoRA: Deploy Once, Serve 30 Models
Hugging Face introduces Multi-LoRA serving in Text Generation Inference (TGI), allowing organizations to deploy a single base model and dynamically serve dozens of specialized fine-tuned adapters to reduce cost and operational complexity.
ChatGPT Enterprise Compliance and Administrative Tools Update
OpenAI has introduced a Compliance API, SCIM for automated user management, and granular GPT controls to help enterprise customers meet regulatory requirements and scale AI deployments securely.
OpenAI Prover‑Verifier Games improve legibility of language model outputs
OpenAI announced a prover‑verifier game training method that makes strong language models generate solutions that weaker models can verify, improving both correctness and human legibility.
Anthropic and Menlo Ventures Launch $100 Million Anthology Fund
Anthropic and Menlo Ventures have launched the $100 million Anthology Fund to accelerate the development of AI applications across infrastructure, industry-specific tools, and trust and safety.
Codestral Mamba Release Notes
Mistral AI has released Codestral Mamba, a 7B parameter model utilizing the Mamba architecture to provide linear time inference and high-performance coding and reasoning capabilities.
Mathstral 7B Release
Mistral AI has released Mathstral, a 7B parameter model specializing in STEM subjects and advanced mathematical reasoning, developed in collaboration with Project Numina.
Argilla SDK Chatbot with distilabel – End‑to‑End Tutorial
Hugging Face released a tutorial showing how to build an Argilla 2.0 chatbot using distilabel‑generated synthetic data, fine‑tuned embeddings, lancedb vector storage, and a Gradio app deployed on Spaces.
SmolLM Release: High-Performance Small Language Models
Hugging Face introduces SmolLM, a family of state-of-the-art small language models (135M, 360M, and 1.7B parameters) trained on a meticulously curated high-quality dataset.
NuminaMath 7B TIR wins AIMO Progress Prize – technical recap
NuminaMath 7B TIR won the first AIMO Progress Prize by solving 29 of 50 hidden math problems, showcasing the power of a two-stage fine‑tuning recipe, large high‑quality math data, and a self‑consistency with tool‑integrated reasoning inference strategy.
OpenAI and Los Alamos National Laboratory Bioscience Research Partnership
OpenAI and Los Alamos National Laboratory have partnered to evaluate how multimodal frontier AI models like GPT-4o can safely assist scientists in physical laboratory settings to advance bioscientific research.
Hugging Face PII Detection Experiment with Presidio
Hugging Face is experimenting with integrating Microsoft Presidio into the Dataset Hub to provide automatic PII detection reports, helping practitioners identify and mitigate privacy risks in ML datasets.
TRL adds Direct Preference Optimization support for Vision‑Language Models
Hugging Face added Direct Preference Optimization (DPO) support for Vision‑Language Models in the TRL library, enabling fine‑tuning of models like Idefics‑2 with preference data using bfloat16 quantization and LoRA to fit on a single GPU.
Hugging Face and KerasHub Integration
Hugging Face and KerasHub now share a model save format, allowing KerasHub users to directly load over 300,000 Transformers library models from the Hugging Face Hub.
Google Cloud TPUs on Hugging Face Inference Endpoints and Spaces
Hugging Face has integrated Google Cloud TPU v5e support into Inference Endpoints and Spaces, enabling users to deploy and scale AI models with cost-effective, high-performance hardware.
Banque des Territoires, Polyconseil, and Hugging Face Deploy Sovereign RAG Solution for EduRénov Program
Hugging Face, Polyconseil, and Banque des Territoires launched a sovereign, open‑source RAG system to automate email support for France's EduRénov school‑renovation program, ensuring data residency while scaling generative AI for public policy.
Hugging Face Dataset Hub Search Features Update
Hugging Face has introduced four new search filters—modality, size, format, and library compatibility—to improve the discoverability of over 180,000 public datasets on the Dataset Hub.
Accelerating Protein Language Model ProtST on Intel Gaudi 2
Intel and MILA have optimized the ProtST multi-modal protein language model for Intel Gaudi 2 accelerators, achieving up to 2.92x faster fine-tuning compared to NVIDIA A100 GPUs.
Hugging Face Transformers Code Agent GAIA Benchmark Results
Hugging Face achieved a top ranking on the GAIA benchmark using a Code Agent built with the transformers.agents library, demonstrating that code-based actions are more efficient and effective than JSON-based tool calling.
Anthropic Third-Party Model Evaluation Initiative
Anthropic has launched a funding initiative to support third-party organizations in developing high-quality evaluations to measure advanced AI capabilities and safety risks.
Anthropic Circuits Updates June 2024
Anthropic's June 2024 Circuits updates provide preliminary research findings on interpretability, multiagent system failures, and advancements in mathematical capabilities regarding the Riemann zeta function.
Finding GPT-4’s mistakes with GPT-4
OpenAI introduced CriticGPT, a GPT-4 based model designed to identify errors in ChatGPT's code output to assist human trainers during the RLHF process.
OpenAI and TIME Strategic Content Partnership
OpenAI and TIME have entered a multi-year strategic partnership to integrate TIME's 101-year archive of journalism into OpenAI products and provide TIME with access to OpenAI technology for product development.
Google Gemma 2 Release Notes
Google has released Gemma 2, a family of open-weight LLMs available in 9B and 27B parameter sizes, featuring technical advances in distillation and attention mechanisms to improve performance.
Google Gemma 2 release on Ollama
Google Gemma 2, available in 2B, 9B, and 27B parameter variants, launches on Ollama with a new architecture that delivers class‑leading performance and efficiency, outperforming larger open models.
Anthropic Expands Claude Access for Government Agencies
Anthropic has made Claude 3 Haiku and Claude 3 Sonnet available to the US Intelligence Community and AWS GovCloud to support government missions through secure, specialized service agreements.
XLSCOUT ParaEmbed 2.0 Release
XLSCOUT has released ParaEmbed 2.0, a proprietary embedding model fine-tuned on expert-curated patent data that achieves a 23% increase in accuracy over ParaEmbed 1.0.
Anthropic Introduces Claude Projects for Collaborative AI Workflows
Anthropic has launched Projects for Claude Pro and Team users, allowing them to organize chats with curated knowledge sets and custom instructions within a 200K context window.
Hugging Face Ethics and Society Newsletter #6: The Importance of Data Quality
Hugging Face outlines a holistic, responsible approach to data quality, emphasizing that high-quality data must be fit for its intended purpose to ensure AI model performance, fairness, and scientific reproducibility.
Fine-tuning Microsoft Florence-2 for DocVQA
Hugging Face demonstrates how to fine-tune Microsoft's Florence-2 vision-language model on the DocVQA dataset, improving validation similarity from 0 to 57.0 after seven epochs.
OpenAI Acquires Rockset for Real-Time Data Retrieval
OpenAI has acquired Rockset, a real-time analytics database, to integrate its high-performance indexing and querying capabilities into OpenAI's retrieval infrastructure.
OpenAI Cybersecurity Grant Program: Supporting AI-Driven Defense Research
OpenAI has highlighted several projects from its Cybersecurity Grant Program aimed at enhancing LLM trustworthiness, automating vulnerability detection, and developing autonomous cyber defense agents.
OpenAI Consistency Models: Fast One-Step Generative AI
OpenAI has introduced Consistency Models, a new family of generative models that enable high-quality, one-step generation by directly mapping noise to data, overcoming the slow iterative sampling of diffusion models.
OpenAI Holistic Approach to Undesired Content Detection
OpenAI has introduced a holistic framework for building robust natural language classification systems to detect undesired content, including sexual content, violence, and harassment, which outperforms off-the-shelf models.
Hugging Face Data Is Better Together Initiative
Hugging Face and Argilla launched the Data Is Better Together (DIBT) initiative to empower the open-source community to collectively create high-quality, diverse, and inclusive datasets for machine learning.
OpenAI Announces Improved Techniques for Training Consistency Models
OpenAI introduced new training methods that let consistency models learn directly from data, achieving up to four‑fold better FID scores on CIFAR‑10 and ImageNet 64×64 without diffusion distillation.
Prezi Case Study: Accelerating ML Roadmap with Hugging Face Expert Support
Prezi is leveraging the Hugging Face Expert Support Program and Inference Endpoints to integrate efficient open-source multimodal models into its Prezi AI presentation generation tool.
Paf Increases Developer Productivity via ChatGPT Enterprise and Custom GPTs
Gaming company Paf has deployed ChatGPT Enterprise and over 85 custom GPTs to automate boilerplate code and accelerate developer training, achieving output equivalent to 12 full-time employees.
Clay: Achieving 10x Growth with Agentic Sales Prospecting
Clay uses GPT-4 to power Claygent, an AI agent that automates web research and data enrichment for go-to-market teams, resulting in 10x year-over-year growth.
BigCodeBench: A New Benchmark for Complex Python Code Generation
Hugging Face has released BigCodeBench, a benchmark of 1,140 function-level tasks designed to evaluate LLMs on practical programming and diverse library usage, addressing the simplicity and contamination issues of HumanEval.