5). Agent Workflow Memory – introduces Agent Workflow Memory to induce commonly reused workflows and provide these to the agent on demand; works offline and online and is meant to guide the agent's subsequent generations; it’s inspired by how humans learn reusable workflows from
AGENTS
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LLMs Generate Novel Research Ideas But Lack Diversity
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3). Can LLMs Generation Novel Research Ideas – finds that LLM-generated research ideas are judged as more novel (p <0.05) than human expert ideas; however, they were rated slightly weaker in terms of flexibility; they also report that LLM agents lack diversity in the idea
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Top ML Papers of the Week: LLMs, Agents, and Research
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The Top ML Papers of the Week (Sep 9 – Sep 15): – Chai-1
– DataGemma
– LLaMa-Omni
– Agent Workflow Memory
– Learning to Reason with LLMs
– Can LLMs Generation Novel Research Ideas Read on for more: -
Domain-Specific AI Training Generalization Limitations
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It’s also a ton of domain specific training that probably wouldn’t generalize all that well. Standing firm on our bet.
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Champion Level Drone Racing Using Reinforcement Learning
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Champion Level Drone Racing using #ReinforcementLearning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Champion-R-L -
AI Scientist Platform Enables Research Reproducibility Testing
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Sharing an idea that offers an exciting use case of the AI Scientist from @SakanaAILabs
! Rather than generating new ideas, one can adapt the code to pick a paper and test its results. "Reproducibility as a platform." Thanks lakshaytalkstocomputer and @cong_ml for the insight! -
Human in the Loop: A Believer’s Perspective on AI Safety
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Not tested rigorously but I’m a bigger believer in human in the loop
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Langgraph Migration Guide for AI Agents Recommended
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Yes recommending Langgraph. We won’t remove the agents (so as not to break people’s flows) but will work on detailed migration guides
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Integrating o1 Model into Agentic Systems
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Langgraph* But yes – I’m super excited about plugging o1 into some agentic systems!
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O1 Models Drive Multi-Agent Compound AI Systems Forward
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perhaps counter-intuitively, i think models like o1 will actually make "compound ai"/"multi-agent" systems MORE prevalent a lot of ideas of how to use o1 boil down to using it as just one part of a larger, more complex "cognitive architecture", with multiple other LLM calls