May 1, 2024

6 Posts

Building Models That Learn From Themselves: AI developers are hungry for more high-quality training data. The combination of agentic workflows and inexpensive token generation could supply it.
May 1, 2024

Building Models That Learn From Themselves: AI developers are hungry for more high-quality training data. The combination of agentic workflows and inexpensive token generation could supply it.

Inexpensive token generation and agentic workflows for large language models (LLMs) open up intriguing new possibilities for training LLMs on synthetic data. Pretraining an LLM
Apple’s Tiny LLMs, Amazon Rethinks Cashier-Free Stores, Predicting Scientific Discoveries
May 1, 2024

Apple’s Tiny LLMs, Amazon Rethinks Cashier-Free Stores, Predicting Scientific Discoveries

The Batch AI News and Insights: Inexpensive token generation and agentic workflows for large language models (LLMs) open up intriguing new possibilities for training LLMs on synthetic data. Pretraining...
Predicting Scientific Discoveries: AI predicts scientific breakthroughs using social graphs
May 1, 2024

Predicting Scientific Discoveries: AI predicts scientific breakthroughs using social graphs

A new AI method directs scientists toward promising avenues of inquiry.
Amazon's Just Walk Out store
May 1, 2024

Amazon Rethinks Cashier-Free Stores: Amazon scales back its AI-powered "Just Walk Out" checkout service

Amazon withdrew Just Walk Out, an AI-driven checkout service, from most of its Amazon Fresh grocery stores...
Results from Stanford's AI Index Report 2024
May 1, 2024

AI Trends in Depth: Stanford’s AI Index Report shows the state of AI in 2024

More expensive models, superhuman performance, growing impacts on society — an extensive report takes stock of developments in machine learning over the past year. 
Think D̶i̶f̶f̶e̶r̶e̶n̶t̶ Small: Apple releases OpenELM, a family of smaller large language models.
May 1, 2024

Think D̶i̶f̶f̶e̶r̶e̶n̶t̶ Small: Apple releases OpenELM, a family of smaller large language models.

Apple is thinking small — very small — with a new family of open large language models.

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