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Achieving Greater Self-Consistency in Large Language Models | by Anthony Alcaraz | Dec, 2023

When LLMs are used to evaluate qualities like the correctness, accuracy, or relevance of a piece of text, consistency is paramount. If an LLM exhibits inconsistent judgements, then its evaluations become unreliable and untrustworthy. If an LLM evaluates the reasoning quality of arguments, but contradicts itself by rating an invalid argument as more logically sound…

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Researchers from NVIDIA and UT Austin Introduced MimicGen: An Autonomous Data Generation System for Robotics

Training robots to perform various manipulation behaviors has been made possible by imitation learning from human demonstrations. One popular method involves having human operators teleoperate with robot arms through various control interfaces, producing multiple demonstrations of robots performing different manipulation tasks, and then using the data to train the robots to perform these tasks independently.…

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Last Chance! Certified AI Workshops Start in 24 Hours! Don’t Miss Out! | by Stefan Kojouharov

Exciting news! The highly anticipated AI Workshops begin in ~24 hours, and we don’t want you to miss out on this incredible opportunity! This email serves as a crucial reminder to secure your spot before it’s too late — this is your last chance to purchase tickets! Here’s what you need to know: 📅 Workshop…

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