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Speed up NLP interpretation using ONNX Runtime on AWS Graviton processors

Amazon EC2, Graviton, Intermediate (200), Machine learning, Natural language processing, Technical How-to, UncategorizedMay 16, 202440Views0Likes0Comments
ONNX is an open-source machine learning framework, offering interoperability across various platforms. It collaborates with ONNX Runtime, the runtime engine for model inference and training. AWS Graviton3 processors are specifically tailored for machine learning tasks and support a series of instructions to optimize performance. The ONNX Runtime 1.17.0 release integrates some of these instructions, improving…

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An innovative method enables AI chatbots to engage in conversations all day without experiencing errors or shutdowns.

Algorithms, Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Research, School of Engineering, UncategorizedMay 15, 202433Views0Likes0Comments
A team of researchers from MIT, Meta AI, Carnegie Mellon University, and NVIDIA, have found a solution to the problem of the performance degradation of AI chatbots during extended human-AI conversations. They identified a challenge associated with AI conversation memory, known as the key-value cache, where data is bumped out when the cache exceeds its…

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Improving the dependability of language models by leveraging concepts from game theory.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Game theory, Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, Research, Robotics, School of Engineering, UncategorizedMay 15, 202435Views0Likes0Comments
Researchers from MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a new type of game to enhance how artificial intelligence (AI) comprehends and produces text. This "consensus game" includes two parts of an AI system - the part that generates sentences and a part that evaluates those sentences. This model significantly improved the…

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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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MISATO: A Dataset of Protein-Ligand Complexes for Structure-Based Drug Discovery Using Machine Learning

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 14, 202434Views0Likes0Comments
Artificial Intelligence (AI) technology researchers from multiple institutions including the Institute of Structural Biology, Technical University of Munich, and others have developed a novel approach to drug discovery, named MISATO. This innovative model is designed to enhance the process of drug design, a critical aspect within the broader field of computational chemistry and structural biology.…

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How ‘Chain of Thought’ Enhances the Intelligence of Transformers

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 13, 202434Views0Likes0Comments
Large Language Models (LLMs), such as GPT-3 and ChatGPT, have been shown to exhibit advanced capabilities in complex reasoning tasks, outpacing standard, supervised machine learning techniques. The key to unlocking these enhanced abilities is the incorporation of a 'chain of thought' (CoT), a method that replicates human-like step-by-step reasoning processes. Importantly, the use of CoT…

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