Similar Stories to Why Downsizing Large Language Models Is The Future Of Generative Ai on Bing News

Smaller language models can be based on a billion parameters or less—still pretty large, but much smaller than foundational LLMs like ChatGPT and Bard. Businesses are keen to unlock the power of generative AI, and yet large language models like ChatGPT present obvious challenges for corporate use. A study this month found that 75% of organizations are considering or have implemented bans on generative AI applications, citing security, privacy, and other concerns.

Topics:  llms   bard   businesses   read full story   chatgpt   ai   large language models   smaller   
BING NEWS:
  • Stretching From LLMs To LGMs: Intelligence And The Amazing Promise Of Large Geospatial Models
    Generative AI and LLMs are stretching into a new frontier known as large geospatial models (LGMs). This is going to be big. It is a vital step. Here's the inside scoop.
    11/22/2024 - 2:03 pm | View Link
  • How OpenAI stress-tests its large language models
    OpenAI is once again lifting the lid (just a crack) on its safety-testing processes. Last month the company shared the results of an investigation that looked at how often ChatGPT ...
    11/21/2024 - 5:02 am | View Link
  • Here’s why turning to AI to train future AIs may be a bad idea
    If future AI models are trained on AI-generated content, they could end up producing more bias and nonsense, researchers caution.
    11/20/2024 - 1:11 am | View Link
  • Large language models not fit for real-world use, scientists warn — even slight changes cause their world models to collapse
    Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds.
    11/16/2024 - 12:01 am | View Link
  • Revealing Secrets Of Large Language Models And Generative AI Via Markov Chain Mathematics
    No one can say for sure what's happening inside generative AI LLMs. Some believe that the mathematical statistical method of Markov chains is the key. Here's the scoop.
    11/11/2024 - 4:11 pm | View Link
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