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This AI article from the Netherlands presents an AutoML structure engineered for effective creation of comprehensive multimodal machine learning ML pipelines.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 25, 202434Views0Likes0Comments
Automated Machine Learning (AutoML) has become crucial for data-driven decision-making, enabling experts to utilize machine learning without needing extensive statistical knowledge. However, a key challenge faced by current AutoML systems is the efficient and correct handling of multimodal data, which can consume significant resources. Addressing this issue, scientists from the Eindhoven University of Technology have put…

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TaskGen: A Publicly Available Agentic Structure Using AI Agent to Tackle Any Task by Dividing it into Smaller Tasks.

AI Agents, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Open Source, Staff, Tech News, Technology, UncategorizedJuly 25, 202430Views0Likes0Comments
The existing Artificial Intelligence (AI) task management methods, including AutoGPT, BabyAGI, and LangChain, often rely on free-text outputs, which can be lengthy and inefficient. These frameworks commonly struggle with keeping context and managing the extensive action space linked with arbitrary tasks. This report focuses on the inefficiencies of these current agentic frameworks, particularly in handling…

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To construct an advanced AI assistant, initiate the process by imitating the erratic actions of humans.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedJuly 25, 202428Views0Likes0Comments
Researchers at MIT and the University of Washington have developed a model that accounts for the sub-optimal decision-making processes in humans, potentially improving the way artificial intelligence can predict human behavior. Named 'inference budget,' the model infers an agent's computational constraints, whether human or machine, after observing a few traces of their past actions. It…

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This miniature microchip has the capability to protect user information while also enhancing the effectiveness of computations on a mobile device.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedJuly 25, 202434Views0Likes0Comments

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Researchers at Amazon have suggested a novel approach to evaluate the accuracy of retrieval-enhanced large language models (RAG) relative to individual tasks.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 25, 202434Views0Likes0Comments
Large language models (LLMs) have gained significant popularity recently, but evaluating them can be quite challenging, particularly for highly specialised client tasks requiring domain-specific knowledge. Therefore, Amazon researchers have developed a new evaluation approach for Retrieval-Augmented Generation (RAG) systems, focusing on such systems' factual accuracy, defined as their ability to retrieve and apply correct information…

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DVC.ai has launched DataChain, an innovative open-source Python library tailored for the processing and curation of extensive unstructured data.

Applications, Artificial Intelligence, Editors Pick, Open Source, Python, Staff, Tech News, Technology, UncategorizedJuly 25, 202432Views0Likes0Comments
DVC.ai has introduced DataChain, a pioneering open-source Python library fashioned to manage and curate massive-scale, unstructured data. By integrating advanced AI and machine learning abilities, DataChain aims to enhance the data processing workflow—making it an essential tool for data scientists and developers. DataChain's chief features encompass AI-driven data curation, but it also employs local machine learning…

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Google Deepmind’s researchers have introduced BOND: An innovative RLHF method that refines the policy through online distilling of the top-N sampling distribution.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 25, 202430Views0Likes0Comments
Reinforcement Learning from Human Feedback (RLHF) plays a pivotal role in ensuring the quality and safety of Large Language Models (LLMs), such as Gemini and GPT-4. However, RLHF poses significant challenges, including the risk of forgetting pre-trained knowledge and reward hacking. Existing practices to improve text quality involve choosing the best output from N-generated possibilities,…

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