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OpenRLHF: A Publicly Available AI Structure Facilitating Effective Reinforcement Learning via Human Input RLHF Enhancement

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 23, 202450Views0Likes0Comments
Artificial Intelligence (AI) is rapidly advancing, particularly with the creation of large language models (LLMs) with over 70 billion parameters. While these models are crucial for tasks such as translation and content creation, their full potential can only be realized using Reinforcement Learning from Human Feedback (RLHF), a technique that currently faces significant challenges due…

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Federated Learning: Improving Privacy and Security by Distributing AI

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 23, 202431Views0Likes0Comments
Federated learning is an ML approach that decentralizes the AI training process, offering enhanced privacy and security. This approach keeps data localized on various devices which then compute and share model updates, while a central server collects these updates to enhance the overall model. This differs from traditional AI methods which amass data from multiple…

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Prometheus-Eval and Prometheus 2: Raising the Bar in LLM Evaluation and Open-Source Creativity with Cutting-Edge Evaluator Language Model

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Open Source Projects, Staff, Tech News, Technology, UncategorizedMay 23, 202437Views0Likes0Comments
Prometheus-Eval is an innovative repository that offers tools for training, evaluating, and using Natural Language Processing (NLP) models. Developed by researchers from several institutes including the KAIST AI, MIT, and the University of Illinois Chicago, the tool is particularly adept at evaluating other language models. Using the Prometheus-eval Python package, users can effectively evaluate instruction-response…

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Hugging Face unveiled LeRobot: this open-source robotics-focused machine learning (ML) model is their latest public offering.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Open Source Projects, Staff, Tech News, Technology, UncategorizedMay 23, 202442Views0Likes0Comments
Hugging Face has released LeRobot, an open-source machine learning model developed specifically for use in practical robotics. LeRobot is aimed at increasing the usability and accessibility of robots across a wide range of users and is based on the PyTorch platform. It is designed to merge advanced methods with practical applications in real-world settings, with…

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Scientists at the University of Maryland have unveiled an innovative automatic text privacy system, which refines a broad language model through the use of reinforcement learning.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 22, 202432Views0Likes0Comments
The privacy of users participating in online communities is an imperative issue. Websites like Reddit allow users to post under pseudonyms to maintain anonymity; however, anonymity can lead to abusive behavior. In some instances, pseudonyms may not entirely assure privacy as a user's writing style can disclose their identity. These identifiable elements within a text,…

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Improving Tensor Contraction Paths through a Refined Standard Greedy Algorithm with Enhanced Cost Function.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 22, 202434Views0Likes0Comments
A team of researchers has developed a new method for improving tensor contraction paths (CPs), which are used to solve problems across numerous areas of research, including machine learning, graph problems, quantum circuits, and model counting. Their technique improves upon the standard greedy algorithm (SGA), incorporating an enhanced cost function that covers a larger range…

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KAUST and Purdue University’s AI Paper introduces effective likelihood methods for vast discrete activity areas.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 22, 202438Views0Likes0Comments
Reinforcement learning (RL) is a method of machine learning where agents are trained to make decisions by interacting with their environment. This interaction involves taking action and receiving feedback via rewards or penalties. RL has been crucial in developing complex technologies such as advanced robotics, autonomous vehicles, and strategic game-playing mechanisms and has been instrumental…

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Enabling both developers and non-coders to construct interactive web applications with ease.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Promote, Sponsored, Staff, Tech News, Technology, UncategorizedMay 22, 202436Views0Likes0Comments
Python programming, with its vast number of libraries, is a flexible and powerful tool for programmers. However, a gap in the Python ecosystem has been identified: the lack of no-code studios for developing web front-ends. A handful of low-code tools have been available, such as Streamlit, Taipy, and Gradio, but none have fully automated this…

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The Revolution of AI-Driven Coding: Connecting Conventional and Neurosymbolic Programming

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 22, 202448Views0Likes0Comments
Generative AI models such as Large Language Models (LLMs) have proliferated over various industries, advancing the future of programming. Historically, the field of programming has been primarily governed by symbolic coding that unites traditional symbolic code and neural networks to solve specific tasks. Symbolic programming's backlash, however is that it often requires developers to manually…

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