Security News > 2023 > August > Customizing LLMs for domain-specific tasks

Based on survey data from organizations experimenting with LLMs, researchers have found that enterprises are looking for ways to customize and deploy open-source LLMs without giving commercial vendors access to proprietary data, and they are exploring other use cases beyond generative AI capabilities.

"It is now open season for LLMs. Thanks to the widespread recognition of OpenAI's ChatGPT, businesses are in an arms race to gain a competitive edge using the latest AI capabilities. Still, they require more customized LLMs to meet domain-specific use cases," said Piero Molino, CEO of Predibase.

Nearly 77% of respondents either don't use or don't plan to use commercial LLMs beyond prototypes in production, citing concerns about privacy, cost, and lack of customization, leading to an uptick in open-source alternatives.

Customized LLMs. Organizations are turning to customized LLMs to achieve more accurate and tailored results.

Most teams plan to customize their LLMs by fine-tuning or reinforcement learning with human feedback.

"We see clear potential to improve the outcomes of our conservation efforts using customized open-source LLMs to help our teams generate insights and learnings from our large corpus of project reports," said Dave Thau, Global Data and Technology Lead Scientist, World Wildlife Fund.

News URL

https://www.helpnetsecurity.com/2023/08/28/customized-llms/