NLP

One of the world’s largest investment banks built a large language model to map cryptic government statements to future government actions. JPMorgan Chase trained a model based on ChatGPT to score statements by a United States financial regulator according to...

Do language models have their own opinions about politically charged issues? Yes — and they probably don’t match yours. Shibani Santurkar and colleagues at Stanford compared opinion-poll responses of large language models with those of various human groups.

Google showcased a flood of new features in its latest bid to get ahead in the generative AI arms race. The company demonstrated AI features for consumers and developers at its annual I/O conference.

Specialized chatbots are providing answers to scientific questions. A new breed of search engines including Consensus, Elicit, and Scite use large language models to enable scientific researchers to find and summarize significant publications, Nature reported.

Reporters offered a behind-the-scenes look at OpenAI’s year-long effort to capitalize on its long-awaited GPT-4. The company built a sales team and courted corporate partners in advance of launching its latest large language model, The Information reported.

If you want a model to answer questions correctly, then enriching the input with reference text retrieved from the web is a reliable way to increase the accuracy of its output. But the web isn’t necessarily the best source of reference text.

Google’s response to Microsoft’s GPT-4-enhanced Bing became a little clearer. Anonymous insiders leaked details of Project Magi, the search giant’s near-term effort to enhance its search engine with automated conversation.

Developers of language models will have to pay for access to troves of text data that they previously got for free. The discussion platform Reddit and question-and-answer site Stack Overflow announced plans to protect their data from being used to train large language models.

Amazon joined big-tech peers Google, Meta, and Microsoft in rolling out services that provide generated text and images. The online retailer launched early access to Bedrock, a cloud platform that offers generative models built by Amazon and its partners.

When you’re looking for answers from a large language model, some prompts are better than others. So how can you come up with the best one? A new model automates the process.

How can you tell when you’re reading machine-generated text? Three recent papers proposed solutions: Watermarking, classification, and a statistical method.

Text from current language models can be useful as a rough draft, but that leaves the polishing to human writers. A language model learned how to generate and respond to editorial directions.

A South African startup aims to lure talented engineers who left the continent to work abroad. Johannesburg research lab Lelapa.ai bills itself as a haven for African AI engineers who want to work on challenges that aren’t on Silicon Valley’s agenda.

Looking for work in AI? Brush up on your language skills. Employers are hiring prompt engineers to write natural-language prompts for AI models, The Washington Post reported. They include Anthropic, Boston Children’s Hospital, and the London law firm Mischon de Reya.

Amazon, Apple, and Google have been building chatbots for years. So how did they let the alliance between Microsoft and OpenAI integrate the first smash-hit bot into Microsoft products?