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Learn how LLMs are fueling the $51.8 billion generative AI industry and bringing global governments like the UK into the AI revolution.

Large language models (LLMs) will catalyze the generative AI industry as it expands, according to research from ResearchAndMarkets.com. In fact, by 2028, it is expected to reach $51.8 billion. Governments everywhere are attempting to take use of the technology, and the UK is no exception.

The House of Lords Communications and Digital Committee will start its investigation into large language models (LLMs) on September 12. The following members want to show the Committee that the government can react to opportunities and risks:

  • Chair of the Foundation Model Taskforce Ian Hogarth
  • The Alan Turing Institute’s incoming CEO, Jean Innes
  • Professor Neil Lawrence, the University of Cambridge’s DeepMind Professor of Machine Learning
  • Ben Brooks, Stability AI’s director of public policy

LLMs and generative AI are not risk-free. Even though the sector appeared to be largely positive about its future, there were some worries, such as the emergence of prejudices. Chirag Shah, the founder and CEO of Pulse, a company that provides data insights, called “data poisoning” a significant problem. Organizations must continually check their data to make sure it is not generating inaccurate results.

AI

What will be talked about?

The Foundation Model Taskforce’s roles, organizational structure, goals, and investment strategies will all be under the Committee’s scrutiny. Additionally, it will assess how equipped the government is for the potential and threats presented by LLMs.

The effects of technology over the following one to three years will also be examined. Therefore, it seeks to make sure that the UK is best equipped to handle the potential dangers. Since generative AI has gained attention thanks to OpenAI’s GPT-3 and GPT-4 models, the technology has quickly evolved, which necessitates the adoption of the necessary rules.

The distinctions between open-source and closed-source language approaches will also be highlighted. The Committee will assess how open-source data is expected to change over the coming years given that it has become a hot topic of discussion.

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