We all have a folder full of images whose filenames resemble line noise. How about renaming those images with the help of a local LLM (large language model) executable on the command line? All that ...
Understanding precisely how the output of a large language model (LLM) matches with training data has long been a mystery and a challenge for enterprise IT. A new open-source effort launched this week ...
AI is transforming the software landscape, with many organizations integrating AI-driven workflows directly into their ...
Organizations across all industries are adopting generative AI systems, with pretrained LLMs - both proprietary and open source, as critical components of their business strategy. LLM usage by an ...
Large language models (LLMs) are wholly dependent on the quality of the input data with which these models are trained. While suggestions that people eat rocks are funny to you and me, in the case of ...
In the introductory overview, we highlighted the significant problems and false positives that accompany current Large Language Model (LLM) detection tools. The inability to identify LLM output, plus ...
(Author’s note: this article in its entirety was written without the help of generative AI (Gen AI) in any way, nor was AI used to generate any graphics, either.) Leveraging the large language models ...
Erman Ayday, Co-Faculty Director, xLab; Associate Professor, Computer and Data Science The rapid expansion of artificial intelligence (AI) and natural language processing (NLP) in recent years has ...
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