4/ Mixture-of-Agents – an approach that leverages the collective strengths of multiple LLMs through a Mixture-of-Agents methodology; layers are designed with multiple LLM agents and each agent builds on the outputs of other agents in the previous layers.
RESEARCH
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LLM-Driven Discovery of Preference Optimization Algorithms
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2/ Discovering Preference Optimization Algorithms with LLMs – proposes LLM-driven objective discovery of state-of-the-art preference optimization.https://t.co/tXYiVCzW9S
— DAIR.AI (@dair_ai) 16 juin 20242/ Discovering Preference Optimization Algorithms with LLMs – proposes LLM-driven objective discovery of state-of-the-art preference optimization.
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Deep Learning Computer Vision Repository Goals and Original Vision
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The goal of working on Deep Learning for Computer Vision was to have a practical repo for people in deep learning and visual recognition, serving the role Complete Machine Learning Package does in ML foundations. It's not what I originally envisioned(will explain), but the
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Deep Learning for Computer Vision V1 Release Announced
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Releasing Deep Learning for Computer Vision V1 Inspired by Complete Machine Learning Package, Deep Learning for Computer Vision is a comprehensive repository/knowledge base of topics in deep learning and computer vision. The repository covers various topics including but
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Festo’s BionicBee: Autonomous Robotic Swarm Technology Innovation
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Festo has unveiled BionicBee, a #robotic innovation that mimics bee swarming behavior autonomously. This biomimetic swarm #technology has vast potential applications across civilian and military sectors.#AI #IoT #5G #DTW24 @Analytics_699 @Hal_Good
— Harold Sinnott #MWC26 (@HaroldSinnott) 16 juin 2024
pic.twitter.com/IL9PVhIKm9Festo has unveiled BionicBee, a #robotic innovation that mimics bee swarming behavior autonomously. This biomimetic swarm #technology has vast potential applications across civilian and military sectors. #AI #IoT #5G #DTW24 @Analytics_699 @Hal_Good
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LLM outputs versus human cultural works properties comparison
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No, I didn't read that bit. I was referring to your induction assuming that cultural works by humans have the same set of properties/conditions as a LLM output.
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Great summary of ideas in The Atomic Human book
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Great summary of ideas in The Atomic Human by @Ranga_EDU https://
t.co/5qpq6BohMh -
LLM Tips and Tutorials from ArXiv Research Paper
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Source: https://
arxiv.org/abs/2406.06608 If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. -
Age decreases human self-delusion abilities
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Your powers of self-delusion decrease steadily with age.
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Following Curiosity in Machine Learning Engineering Debugging
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a hard but very fun part of machine learning engineering is following your own curiosity to chase down every unexplained detail of system behavior