Language

GPT-4 is Here: Is It Really Changing the Game for Language AI? On How Things Progress Winter Is Not Coming Conclusion In regards to the Creator

OpinionIs GPT-4 the following big step in AI we were all waiting for?While I used to be scrolling this countless stream of tweets, the words of Sam Altman, CEO of OpenAI, were floating in...

Aligning language models to follow instructions

We’ve trained language models which can be a lot better at following user intentions than GPT-3 while also making them more truthful and fewer toxic, using techniques developed through our alignment research. These InstructGPT models, that...

Lessons learned on language model safety and misuse

We describe our latest pondering within the hope of helping other AI developers address safety and misuse of deployed models.

A hazard evaluation framework for code synthesis large language models

Codex, a big language model (LLM) trained on a wide range of codebases, exceeds the previous state-of-the-art in its capability to synthesize and generate code. Although Codex provides a plethora of advantages, models which...

Efficient training of language models to fill in the center

We show that autoregressive language models can learn to infill text after we apply a simple transformation to the dataset, which simply moves a span of text from the center of a document to...

Forecasting potential misuses of language models for disinformation campaigns and reduce risk

As generative language models improve, they open up recent possibilities in fields as diverse as healthcare, law, education and science. But, as with every recent technology, it's value considering how they will be misused....

AI21 Labs releases next-generation language model ‘Jurassic-2’

Israeli startup AI21 Labs has released a large-scale language model (LLM) called Jurassic-2, VentureBeat reported on the ninth (local time). With a vision to make artificial intelligence (AI) a human thought partner, AI21 Labs is...

Best practices for deploying language models

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.

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