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

Data ScienceDecember 2, 2023137Views0Likes0Comments
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

RoboticsDecember 2, 2023145Views0Likes0Comments
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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Level Up Your Data Storytelling with Animated Bar Charts in Plotly | by Brian Mattis | Dec, 2023

Data ScienceDecember 2, 2023211Views0Likes0Comments
Transforming static plots into captivating narratives Photo by Teemu Paananen on UnsplashPlotly supports an excellent foundation for animated plots. I highly recommend their basic tutorial here. However, plotly animations are primarily set up to add another dimension to the visualization — usually time. This is fantastic for adding more meaning to a plot. Animation, however,…

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Duke University Researchers Propose Policy Stitching: A Novel AI Framework that Facilitates Robot Transfer Learning for Novel Combinations of Robots and Tasks

RoboticsDecember 2, 2023119Views0Likes0Comments
In robotics, researchers face challenges in using reinforcement learning (RL) to teach robots new skills, as these skills can be sensitive to changes in the environment and robot structure. Current methods need help generalizing to new combinations of robots and tasks and handling complex, real-world tasks due to architectural complexity and strong regularisation. To tackle…

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