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Are We Nearing the Capacity Limit for Big Language Model (BLM) Training Data?

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 15, 202431Views0Likes0Comments
The growth and development of Large Language Models (LLMs) in Artificial Intelligence and Data Science hinge significantly on the volume and accessibility of training data. However, with the constant acceleration of data usage and the requirements of next-generation LLMs, concerns are brewing about the possibility of depleting global textual data reserves necessary for training these…

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OpenAI has unveiled GPT-4o, improving user interaction and offering a range of complimentary tools for users of ChatGPT.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 14, 202435Views0Likes0Comments
The exploration of Artificial Intelligence has increasingly focused on simulating human-like interactions. The latest innovations aim to streamline the processing of text, audio, and visual data into one framework, addressing the limitations of earlier models that processed these inputs separately. Traditional AI models often compartmentalized the processing of different data types, resulting in delayed responses and…

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Cohere’s AI Paper improves the stability of language models by automatically identifying under-trained tokens in large language models (LLMs).

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 14, 202436Views0Likes0Comments
Large Language Models (LLMs) heavily rely on the process of tokenization – breaking down texts into manageable pieces or tokens – for their training and operations. However, LLMs often encounter a problem called 'glitch tokens'. These tokens exist in the model's vocabulary but are underrepresented or absent in the training datasets. Glitch tokens can destabilize…

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Vidur: An Extensive Simulation Platform Transforming LLM Deployment by Reducing Expenses and Enhancing Efficiency

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 14, 202439Views0Likes0Comments
Large Language Models (LLMs) such as GPT-4 and LLaMA2-70B enable various applications in natural language processing. However, their deployment is challenged by high costs and the need to fine-tune many system settings to achieve optimal performance. Deploying these models involves a complex selection process among various system configurations and traditionally requires expensive and time-consuming experimentation.…

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