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You.com unveils AI research agent that processes 400+ sources at once

Flipboard

You.com launches ARI, a cutting-edge AI research agent that processes over 400 sources in minutesrevolutionizing market research and empowering faster, more accurate business decision-making. Read More

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Meta AI Introduces MLGym: A New AI Framework and Benchmark for Advancing AI Research Agents

Marktechpost

Researchers from the University College London, University of WisconsinMadison, University of Oxford, Meta, and other institutes have introduced a new framework and benchmark for evaluating and developing LLM agents in AI research. Tasks include evaluation scripts and configurations for diverse ML challenges.

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William Falcon, Founder and CEO of Lightning AI – Interview Series

Unite.AI

It was later open-sourced in 2019 during his PhD at NYU and Facebook AI Research, under the guidance of Kyunghyun Cho and Yann LeCun. In 2023, Lightning AI launched Lightning AI Studio, a cloud platform that enables coding, training, and deploying AI models directly from a browser with no setup required.

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Agent Laboratory: A Virtual Research Team by AMD and Johns Hopkins

Unite.AI

Their new open-source framework, Agent Laboratory , is a complete reimagining of how scientific research can be accelerated through human-AI teamwork. After looking at numerous AI research frameworks, Agent Laboratory stands out for its practical approach.

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Salesforce AI Research Introduces Moirai-MoE: A MoE Time Series Foundation Model that Achieves Token-Level Model Specialization Autonomously

Marktechpost

Researchers from Salesforce AI Research, the National University of Singapore, and the Hong Kong University of Science and Technology introduced an innovative model called MOIRAI-MoE. Don’t Forget to join our 55k+ ML SubReddit. [ If you like our work, you will love our newsletter.

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Meta AI Researchers Introduced SWEET-RL and CollaborativeAgentBench: A Step-Wise Reinforcement Learning Framework to Train Multi-Turn Language Agents for Realistic Human-AI Collaboration Tasks

Marktechpost

All credit for this research goes to the researchers of this project. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit. Check out the Paper , GitHub Page and Dataset.

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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. This increases the time it takes for customers to go from data to insights.

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