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Forget ChatGPT: why researchers now run small AIs on their laptops
Artificial-intelligence models are typically used online, but a host of openly available tools is changing that. Here’s how to get started with local AIs.
It includes images, data tables and amino-acid sequences, and is run by bioinformatician Chris Thorpe, who uses artificial intelligence (AI) tools called large language models (LLMs) to convert those assets into readable summaries. Based on Whisper — an open-weight speech-recognition model from OpenAI — and on Gemma 2 from Google DeepMind, the system will allow physicians to transcribe conversations and convert them to medical notes, and also summarize data from medical-research participants. CELLama, developed at the South Korean pharmaceutical company Portrai in Seoul, exploits local LLMs such as Llama 3.1 to reduce information about a cell’s gene expression and other characteristics to a summary sentence 2.
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