Tech & Society
Anthropic Ups the Ante: Anthropic introduces Claude 3, a new trio of multimodal models.
Anthropic announced a suite of large multimodal models that set new states of the art in key benchmarks.
Latest
Letters
Life in Low Data Gravity: With generative AI, data is bound less tightly to the cloud provider where it’s stored. This has big implications for developers, CIOs, and cloud platforms.
I’ve noticed a trend in how generative AI applications are built that might affect both big companies and developers: The gravity of data is decreasing.
The Batch Newsletter
Anthropic Ups the Ante, India Warns Developers, Google Tests Generative News, Learning Language Without Language Training
The Batch AI News and Insights: I’ve noticed a trend in how generative AI applications are built that might affect both big companies and developers: The gravity of data is decreasing.
Data Points
The latest in AI from Mar. 7 to Mar. 13, 2024
This week's top AI news and research stories featured Anthropic's new multimodal models, India's warning to devs, Google's generative news tools, and an agent that learns language by exploration. But first:
Machine Learning Research
Learning Language by Exploration: Agent develops language skills through simulated exploration tasks
Machine learning models typically learn language by training on tasks like predicting the next word in a given text. Researchers trained a language model in a less focused, more human-like way.
Tech & Society
Google Tests Generative News Tools: Google funds newsrooms to test AI-powered article generation tools.
Google is paying newsrooms to use a system that helps transform press releases into articles.
Letters
The Dawning Age of Agents: LLM-based agents that act autonomously are making rapid progress. Here's what we have to look forward to.
Progress on LLM-based agents that can autonomously plan out and execute sequences of actions has been rapid, and I continue to see month-over-month improvements.
Data Points
The latest in AI from Feb. 29 to Mar. 6, 2024
This week's top AI news and research stories featured Mistral's new LLMs, a robot chemist, Google's open source LLMs, and a way to make LLMs better at math. But first:
The Batch Newsletter
Mistral Living Large, Google's Open Source Challenger, Robot Chemist, Schooling Language Models in Math
The Batch AI News and Insights: Progress on LLM-based agents that can autonomously plan out and execute sequences of actions has been rapid, and I continue to see month-over-month improvements.
Machine Learning Research
Schooling Language Models in Math: GOAT (Good at Arithmetic Tasks), a method to boost large language models' arithmetic abilities
Large language models are not good at math. Researchers devised a way to make them better. Tiedong Liu and Bryan Kian Hsiang Low at the National University of Singapore proposed a method to fine-tune large language models for arithmetic tasks.
Tech & Society
Google Releases Open Source LLMs: All we know about Google's Gemma-7B and Gemma-2B models
Google asserted its open source bona fides with new models. Google released weights for Gemma-7B, an 8.5 billion-parameter large language model intended to run GPUs, and Gemma-2B, a 2.5 billion-parameter version intended for deployment on CPUs and edge devices.
Science
Robot Chemist: RoboChem, a system that outshines human chemists in chemical synthesis efficiency
A robot outperformed human chemists at synthesizing chemicals. Researchers at University of Amsterdam built RoboChem, an integrated robotic system that learned to design light-activated chemical reactions while achieving optimal yields and throughput.