✷ 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.
ChatGPT Voice and Image Capabilities Update
OpenAI has introduced multimodal capabilities to ChatGPT, enabling Plus and Enterprise users to engage in voice conversations and share images for analysis.
Anthropic Announces $4 Billion Amazon Investment and Expanded Claude 2 Access via AWS Bedrock
Anthropic announced a up‑to‑$4 billion investment from Amazon, making AWS the primary cloud for its models and expanding Claude 2 availability on Amazon Bedrock to bring safer, high‑performing AI to enterprises.
Anthropic Prompt Engineering Guide for Claude's 100k Token Context Window
Anthropic released a quantitative study showing that extracting reference quotes and providing multiple in-context examples dramatically improve Claude's recall on 70‑95k token documents.
Hugging Face Inference for PROs
Hugging Face has introduced Inference for PRO users, providing accelerated API endpoints for curated state-of-the-art models and increased rate limits for the free Inference API.
Integrating Local LLMs with Obsidian Notes via Ollama
Ollama demonstrates how to build an Obsidian plugin that uses Llama Index and local LLMs to enable conceptual search and conversational interaction with personal notes.
OpenAI Red Teaming Network
OpenAI has launched the Red Teaming Network, a formal community of global domain experts tasked with rigorously evaluating AI models to identify risks and improve safety throughout the development lifecycle.
Rocket Money x Hugging Face: Scaling Volatile ML Models in Production
Rocket Money scaled its transaction classification system to over a billion transactions per month using Hugging Face's Inference API to replace a legacy regex-based system.
Anthropic Responsible Scaling Policy
Anthropic has introduced a Responsible Scaling Policy (RSP) that uses AI Safety Levels (ASL) to mandate stricter safety and security protocols as AI models increase in capability and catastrophic risk.
Introduction to 3D Gaussian Splatting
3D Gaussian Splatting is a rasterization technique that enables real-time rendering of photorealistic 3D scenes learned from a small set of images.
Hugging Face Object Detection Leaderboard
Hugging Face released an Object Detection Leaderboard that ranks open-source models using COCO-style metrics and published a blog explaining how Average Precision and Average Recall are computed and what factors can influence the results.
Optimizing LLMs in Production: Precision, Attention, and Architecture
Hugging Face outlines key techniques for efficient LLM deployment, focusing on lower precision quantization, Flash Attention for memory efficiency, and architectural optimizations like RoPE, ALiBi, MQA, and GQA.
Anthropic and BCG Partnership for Enterprise AI Deployment
Anthropic has partnered with Boston Consulting Group (BCG) to integrate Claude AI into enterprise strategic offerings, focusing on the deployment of safe and responsible generative AI solutions.
OpenAI Establishes European Presence with New Dublin Office
OpenAI has opened a new office in Dublin, Ireland, to expand its European operations, trust and safety, security engineering, and legal functions.
Fine-tuning Llama 2 70B using PyTorch FSDP
Hugging Face demonstrates how to fine-tune Llama 2 70B using PyTorch Fully Sharded Data Parallelism (FSDP) and Accelerate to overcome CPU RAM bottlenecks and optimize VRAM usage.
Introducing Würstchen: Fast Diffusion for Image Generation
Würstchen is a fast and efficient text-to-image diffusion model that achieves 42x spatial compression to significantly reduce training and inference costs.
Hugging Face Transformers Quantization Overview
Hugging Face provides native support for bitsandbytes and auto-gptq quantization schemes to enable large model inference on smaller devices and efficient adapter fine-tuning.
SafeCoder vs. Closed-source Code Assistants
Hugging Face introduces SafeCoder, an enterprise-grade code assistant based on the open-source StarCoder models that prioritizes transparency, customization, and data privacy over closed-source alternatives.
Code Llama Prompting Guide
Ollama provides a technical guide on how to structure prompts for Meta's Code Llama model variations, including Instruct, Code completion, and Python-specific versions.
Efficient Controllable Generation for SDXL with T2I-Adapters
Hugging Face and TencentARC introduce T2I-Adapter-SDXL, a lightweight plug-and-play model that enables precise control over Stable Diffusion XL (SDXL) generation using external signals like sketches and depth maps with significantly lower computational overhead than ControlNet.
Claude Pro Release Notes
Anthropic has introduced Claude Pro, a paid subscription plan for Claude.ai that provides 5x more usage of the Claude 2 model, priority access, and early feature access for $20 (US) or 18 (UK) per month.
OpenAI DevDay Announcement
OpenAI announced its first developer conference, DevDay, scheduled for November 6, 2023, in San Francisco to preview new tools and engage with the developer community.
Falcon 180B Release Notes
TII has released Falcon 180B, the largest openly available language model with 180 billion parameters, trained on 3.5 trillion tokens to rival proprietary models like PaLM-2.
Fetch Case Study: Reducing ML Processing Latency by 50% with Amazon SageMaker and Hugging Face
Fetch reduced ML processing latency for receipt scans by 50% and increased document-understanding model accuracy by 200% by migrating its ML pipeline to Amazon SageMaker and Hugging Face.
OpenAI Teaching with AI Guide
OpenAI provides practical frameworks and prompt templates for educators to use AI for language support, lesson planning, and personalized tutoring.
AudioLDM 2 Optimization Guide: Reducing Inference Time with Hugging Face Diffusers
Hugging Face demonstrates how to reduce AudioLDM 2 inference time by over 10x, bringing generation of a 10-second audio sample down to under 1 second using code and model optimizations.
ChatGPT Enterprise Release Notes
OpenAI has launched ChatGPT Enterprise, providing organizations with enterprise-grade security, privacy, and unlimited, high-speed access to GPT-4.
Hugging Face Hub Git Authentication Changes
Hugging Face deprecated password-based Git authentication on October 1, 2023, requiring users to switch to personal access tokens or SSH keys for improved security.
Code Llama Release Notes
Code Llama is a family of open-access models based on Llama 2, specialized for code tasks with support for infilling and long-context windows up to 100,000 tokens.
OpenAI and Scale Partnership for Enterprise Fine-Tuning
OpenAI has partnered with Scale to provide enterprises with expert data enrichment and model evaluation support for fine-tuning GPT-3.5 Turbo and GPT-4.
Run Code Llama locally with Ollama
Meta's Code Llama models are now runnable locally via Ollama, offering 7B, 13B, and 34B parameter versions plus code and Python specializations for programming tasks.
Hugging Face AutoGPTQ and Transformers Integration
Hugging Face has integrated the AutoGPTQ library into Transformers, enabling the quantization of LLMs to 8, 4, 3, or 2-bit precision to reduce memory requirements with negligible accuracy loss at 4-bit.
GPT-3.5 Turbo Fine-Tuning and API Updates
OpenAI has released fine-tuning capabilities for GPT-3.5 Turbo, allowing developers to customize model performance, improve output reliability, and reduce prompt costs.
IDEFICS: An Open Reproduction of State-of-the-art Visual Language Model
Hugging Face has released IDEFICS, an open-access visual language model based on the Flamingo architecture that supports interleaved image and text inputs in 9B and 80B parameter sizes.
Hugging Face SafeCoder Announcement
Hugging Face has introduced SafeCoder, a self-hosted, enterprise-grade code assistant solution that allows companies to build and deploy proprietary Code LLMs within their own secure infrastructure.
OpenAI acquires Global Illumination
OpenAI has acquired Global Illumination, a creative tools and infrastructure company, to integrate its team into the development of core products including ChatGPT.
Using GPT-4 for Content Moderation
OpenAI is utilizing GPT-4 to accelerate content moderation by automating policy application and refinement, reducing the time to develop custom policies from months to hours.
Anthropic and SK Telecom Partnership Announcement
Anthropic and SK Telecom (SKT) have entered a commercial partnership and strategic investment to develop a customized LLM for the telecommunications industry.
Hugging Face Hub on AWS Marketplace
Hugging Face has integrated its Hub with the AWS Marketplace, allowing organizations to pay for managed services like Inference Endpoints and AutoTrain directly through their AWS accounts.
Deploying DeepFloyd IF with BentoML
Hugging Face demonstrates how to use BentoML to deploy the DeepFloyd IF text-to-image model, enabling independent scaling of its multi-stage pixel diffusion architecture across multiple GPUs.
Optimizing Bark using 🤗 Transformers
Hugging Face demonstrates how to reduce the memory footprint and improve inference speed of the Bark text-to-speech model using Better Transformer, half-precision (fp16), and CPU offload.
Claude Instant 1.2 Release Notes
Anthropic has released Claude Instant 1.2, a faster and lower-priced model that improves upon version 1.1 in math, coding, reasoning, and safety.
Swift Transformers Release: Run On-Device LLMs on Apple Devices
Hugging Face released the alpha swift-transformers Swift package, swift-chat demo app, updated exporters and transformers-to-coreml tools, and Core ML versions of Llama 2 7B and Falcon 7B, enabling developers to run LLMs on-device in Apple apps.
Fine-tuning Llama 2 with Direct Preference Optimization (DPO) via TRL
Hugging Face has integrated Direct Preference Optimization (DPO) into the TRL library, enabling the alignment of Llama 2 and other LLMs using a simplified binary cross-entropy loss instead of complex RLHF pipelines.
Studying Large Language Model Generalization with Influence Functions
Anthropic researchers use the EK-FAC approximation to scale influence functions to LLMs with up to 52 billion parameters, enabling the identification of specific training examples that drive model behavior.
Anthropic Research: Tracing Model Outputs to Training Data using Influence Functions
Anthropic researchers scaled influence functions to LLMs up to 52 billion parameters, discovering that model generalization becomes more abstract and conceptually driven as model scale increases.
Deploying MusicGen via Hugging Face Inference Endpoints
Hugging Face demonstrates how to deploy MusicGen, a text-to-music generation model, as an API using Inference Endpoints and custom handlers for models not supported by standard pipelines.
Towards Encrypted Large Language Models with FHE
Hugging Face and Zama demonstrate how Fully Homomorphic Encryption (FHE) can enable Large Language Models to process encrypted user data while protecting the model owner's intellectual property.
Huggy Lingo: Improving Hugging Face Hub Language Metadata with ML
Hugging Face is using the fastText language identification model and Librarian-Bots to automatically detect and suggest language metadata for datasets that currently lack it.
Confidence-Building Measures for Artificial Intelligence
OpenAI and the Berkeley Risk and Security Lab propose six confidence-building measures (CBMs) to mitigate international security risks introduced by foundation models.
Practical 3D Asset Generation Guide
Hugging Face provides a step-by-step workflow for creating low-fidelity, PS1-style 3D assets by combining OpenAI's Shap-E model with Blender and Dream Textures.