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Exploiting activation sparsity is a promising approach to significantly accelerating the inference process of large language models (LLMs) without compromising performance. However, activation sparsity is determined by activation functions, and commonly used ones like SwiGLU and GeGLU exhibit limited sparsity. Simply …
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A collection of awesome repositories ideal for Video Editing 🚀.
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A collection of awesome repositories ideal for Chatgpt Agents 🚀.
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Learn AI With Me:https://www.skool.com/natural20/aboutJoin my community and classroom to learn AI and get ready for the new world.#ai #openai #llm The Origin...
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Google’s use of artificial intelligence to power its searches is an alarming development, especially considering how search engines are driven by financial interests.
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A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various use cases, promote the adoption of best practices in LLM assess...
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An exclusive data analysis by BR (Bavarian Broadcasting) data journalists shows that an AI for personality assessment can be swayed by appearances. This might perpetuate stereotypes
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Reinforcement learning (RL) has gained popularity in the realm of recommender systems due to its ability to optimize long-term rewards and guide users in discovering relevant content. However, the successful implementation of RL in recommender systems is challenging because of several factors, including the limited …
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