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RLHF For High-Performance Decision-Making: Strategies and Optimization

Analytics Vidhya

It will be engineered to optimize decision-making and enhance performance in real-world complex systems. Introduction Reinforcement Learning from Human Factors/feedback (RLHF) is an emerging field that combines the principles of RL plus human feedback.

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ML Hyperparameter Optimization App using Streamlit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon About Streamlit Streamlit is an open-source Python library that assists developers in creating interactive graphical user interfaces for their systems. Using Streamlit, we can quickly create interactive web apps and deploy them. Frontend […].

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An Introduction to Particle Swarm Optimization (PSO) Algorithm

Analytics Vidhya

Overview: PSO is a stochastic optimization technique based on the movement and intelligence of swarms. In PSO, the concept of social interaction is used for solving a problem. The post An Introduction to Particle Swarm Optimization (PSO) Algorithm appeared first on Analytics Vidhya. Each particle in the swarm […].

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Revolutionizing Virtual Assistant Interactions: PRESTO Dataset Tackles Multilingual NLU Challenges

Analytics Vidhya

The dataset aims to optimize language model performance by addressing numerous […] The post Revolutionizing Virtual Assistant Interactions: PRESTO Dataset Tackles Multilingual NLU Challenges appeared first on Analytics Vidhya. It is designed to facilitate more realistic model training.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Uncover how an interactive web application can be built on top of your model.

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6 ways generative AI can optimize asset management

IBM Big Data Hub

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. Through interactive dialog, it can generate visual analytics and promptly deliver content to your team.

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Top 5 Tools for Building an Interactive Analytics App

Smart Data Collective

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Why Use an Interactive Analytics Application?