Abstract: Layer normalization (LN) function is widely adopted in Transformer-based neural networks. The efficient training of Transformers on personal devices is attracting attention for data privacy ...

ABS has completed a four-year effort to develop a training module to enhance safety training in the commercial fishing industry. The project delivered a web-based training platform with materials ...

This repo contains a terminal client that lets you chat with a bot powered by ChatterBot. It also includes a minimal Django project stub so your environment matches the assignment’s setup notes, even ...

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...

Authors E. Molly Tanzer and Jennifer Gilmore have sued Salesforce, alleging it "pirated hundreds of thousands of copyrighted books" to develop its XGen AI models. The lawsuit claims Salesforce ...

The OptiMOS™ TDM22545T dual-phase power module represents the industry’s first trans-inductance voltage regulator (TLVR) solution tailored for the demanding requirements of high-performance AI data ...

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

Microsoft-owned social networking site LinkedIn will soon start using the data of its users to train its AI models, reports Windows Latest. The platform has sent out emails to users about the change, ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...