The Batch | DeepLearning.AI (Page 12)

A vibrant scene of scientists and researchers in a music recording studio, collaboratively creating music.

Data Points

Qwen’s QwQ-32B-Preview packs a big punch: Anthropic’s MCP, an open-source data protocol for agents

Jina updates CLIP embedding model. OLMo2 delivers state-of-the-art performance for smaller open models. Nvidia’s Fugatto produces a wide range of sounds. U.S. antitrust regulator takes a hard look at Microsoft.

Cornucopia overflowing with fruits and vegetables.

Letters

Building a Better Future For All: Many people need help, and technology is the best way to help people at scale. Let’s get to work.

Happy Thanksgiving! In the United States, this is a week when many reflect on their blessings and give thanks.

The Batch Newsletter

DeepSeek Takes On OpenAI, Robots Fold Laundry, Amazon and Anthropic Expand Partnership, More Efficient Object Detection

The Batch AI News and Insights: DeepSeek Takes On OpenAI, Robots Fold Laundry, Amazon and Anthropic Expand Partnership, More Efficient Object Detection.

Grounding DINO animation depicting object detection with bounding boxes on images.

Hardware

Object Detection for Small Devices: Grounding DINO 1.5, an edge device model built for faster, smarter object detection

An open source model is designed to perform sophisticated object detection on edge devices like phones, cars, medical equipment, and smart doorbells.

Illustration of a person holding a box with network nodes emerging from it.

Business

AI Power Couple Recommits: Amazon deepens Anthropic partnership with $4 billion investment

Amazon and Anthropic expanded their partnership, potentially strengthening Amazon Web Services’ AI infrastructure and lengthening the high-flying startup’s runway.

Robotic arms collaborating to fold a red garment on a table.

Hardware

Household Help: π0, a machine learning system for household robotics

A new generation of robots can handle some household chores with unusual skill.

Bar charts comparing performance of AI models across six tasks.

Machine Learning Research

Reasoning Revealed: DeepSeek-R1, a transparent challenger to OpenAI o1

An up-and-coming Hangzhou AI lab unveiled a model that implements run-time reasoning similar to OpenAI o1 and delivers competitive performance. Unlike o1, it displays its reasoning steps.

Robots filming and recording in a scenic grassy field under a sunny, rural landscape.

Data Points

Cobot’s Proxie robot tackles warehouse tasks: VBench++, a new benchmark suite for AI video

Anthropic and Amazon strengthen their ties. Windsurf blends copilots with agents in one IDE. Mistral introduces Pixtral Large to its APIs and chat platform. H’s first product launch is a business agent.

Robot walking through a traditional wooden library with high shelves and warm lighting.

Data Points

DeepSeek’s R1 seeks to match OpenAI’s o1: Microsoft will train future model on big publisher’s books

Flux’s new image tools compete with Adobe and other photo apps. Qwen speeds up its 2.5 model while boosting context window. Rabbit launches Teach Mode in beta for its R1 devices. Banks embrace third-party AI, but want to control their data.

Two people reading in bed, one with a book on library functions and a head labeled with AI layers.

Letters

AI Is Part of Your Online Audience: Some webpages are written not for humans but for large language models to read. Developers can benefit by keeping the LLM audience in mind.

A small number of people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models).

The Batch Newsletter

Next-Gen Models Show Limited Gains, Real-Time Video Generation, China AI Chips Blocked, Transformer Training Streamlined

The Batch AI News and Insights: A small number of people are posting text online that’s intended for direct consumption not by humans, but by LLMs (large language models).

Efficient Foundations animation showing layered AI model components.

Machine Learning Research

More-Efficient Training for Transformers: Researchers reduce transformer training costs by 20% with minimal performance loss

Researchers cut the processing required to train transformers by around 20 percent with only a slight degradation in performance.

Latest

Qwen’s QwQ-32B-Preview packs a big punch: Anthropic’s MCP, an open-source data protocol for agents

Building a Better Future For All: Many people need help, and technology is the best way to help people at scale. Let’s get to work.

DeepSeek Takes On OpenAI, Robots Fold Laundry, Amazon and Anthropic Expand Partnership, More Efficient Object Detection

Object Detection for Small Devices: Grounding DINO 1.5, an edge device model built for faster, smarter object detection

AI Power Couple Recommits: Amazon deepens Anthropic partnership with $4 billion investment

Household Help: π0, a machine learning system for household robotics

Reasoning Revealed: DeepSeek-R1, a transparent challenger to OpenAI o1

Cobot’s Proxie robot tackles warehouse tasks: VBench++, a new benchmark suite for AI video

DeepSeek’s R1 seeks to match OpenAI’s o1: Microsoft will train future model on big publisher’s books

AI Is Part of Your Online Audience: Some webpages are written not for humans but for large language models to read. Developers can benefit by keeping the LLM audience in mind.

Next-Gen Models Show Limited Gains, Real-Time Video Generation, China AI Chips Blocked, Transformer Training Streamlined

More-Efficient Training for Transformers: Researchers reduce transformer training costs by 20% with minimal performance loss