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How to implement Adaptive AI in your business | by LeewayHertz

Human AiDecember 2, 2023250Views0Likes0Comments
Artificial intelligence has emerged as a powerful technology that can drive substantial transformations in businesses across diverse industries. However, traditional machine learning models have struggled to keep pace with the dynamic nature of our rapidly evolving world, hindering their effectiveness in handling the influx of data generated by the Internet of Things (IoT) and autonomous…

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dbt Core, Snowflake, and GitHub Actions: pet project for Data Engineers | by Kyiv Data Girl – Kateryna | Dec, 2023

Data ScienceDecember 2, 2023229Views0Likes0Comments
Pet Project for Data/Analytics Engineers: Explore Modern Data Stack Tools — dbt Core, Snowflake, Fivetran, GitHub Actions. Photo by Gaining Visuals on UnsplashHere is a simple and fast pet project for Data/Analytics Engineers, who want to kick the tires on Modern Data Stack tools including dbt Core, Snowflake, Fivetran, and GitHub Actions. This hands-on experience…

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Researchers at Stanford Introduce RoboFuME: Revolutionizing Robotic Learning with Minimal Human Input

RoboticsDecember 2, 2023213Views0Likes0Comments
In many domains that involve machine learning, a widely successful paradigm for learning task-specific models is to first pre-train a general-purpose model from an existing diverse prior dataset and then adapt the model with a small addition of task-specific data. This paradigm is attractive to real-world robot learning since collecting data on a robot is…

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This AI Research Introduces FollowNet: A Comprehensive Benchmark Dataset for Car-Following Behavior Modeling

AI NewsDecember 2, 2023187Views0Likes0Comments
Following another vehicle is the most common and basic driving activity. Following other cars safely lessens collisions and makes traffic flow more predictable. When drivers follow other vehicles on the road, the appropriate car-following model represents this behavior mathematically or computationally. The availability of real-world driving data and developments in machine learning have largely contributed…

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

Data ScienceDecember 2, 2023173Views0Likes0Comments
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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