MIT researchers make language models scalable self-learners
MIT CSAIL researchers used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
Source: mit.edu
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Apple didn't make Siri a ChatGPT killer at WWDC — and that's bad
Thanks to ChatGPT and other services, the AI race is hotter than ever. But Apple and Siri are still noticeably absent — and it's not a good look.
Source: digitaltrends.com
What is PaLM 2: Google's new large language model explained
Google's AI products have moved on from LaMDA to PaLM 2, a new language model that promises to compete with GPT-4. But how close does it come?
Source: androidauthority.com
MIT researchers develop self-learning language models that outperform larger counterparts
This innovative approach to language modeling challenges the conventional belief that smaller models possess limited capabilities.
Source: venturebeat.com
What are large language models — and how are they used in generative AI?
Large lanuage models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions — even trillions — of parameters that can make them both inaccurate and non-specific for vertical industry use. Here's what LLMs are and how they work.
Source: computerworld.com