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Direct Preference Optimization, Intuitively Explained

Towards AI

Last Updated on January 30, 2024 by Editorial Team Author(s): Tim Cvetko Originally published on Towards AI. However, achieving precise control over their behavior poses a significant challenge due to the unsupervised nature of their training. keep the updates within the “trust” region. keep the updates within the “trust” region.

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Learn AI Together — Towards AI Community Newsletter #14

Towards AI

Last Updated on February 29, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. The Transformer Architecture From a Top View by Dimitris Effrosynidis Transformer architecture significantly improved natural language task performance compared to earlier RNNs. Good morning everyone!

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Exploring Linear Regression for Spatial Analysis.

Towards AI

Last Updated on May 15, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Linear regression is widely used in numerous fields such as economics, finance, social sciences, engineering, and natural sciences for tasks such as prediction, trend analysis, and hypothesis testing.

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Professor says he was barred from campus after Monsanto info request

Hacker News

billion in damages for alleged personal injuries, environmental harm, natural resources damages and damages to the tribe’s culture and way of life due to the presence of PCBs on or near the tribe’s reservation,” says a court filing by Monsanto and other defendants. Newsletter Order: 0 Disable left side advertisement?

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Sports Illustrated AI-generated authors got caught

Dataconomy

According to AdVon, their writers, editors, and researchers create and curate content and follow a policy that involves using both counter-plagiarism and counter-AI software on all content. AdVon has assured us that all of the articles in question were written and edited by humans. “Ms.

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The Choice for Businesses Between Open-Source and Proprietary Models To Deploy Generative AI

Towards AI

Last Updated on November 8, 2023 by Editorial Team Author(s): Faizan Ahmad, PhD Originally published on Towards AI. The pricing policies for closed-source providers vary greatly as the market is still learning about the value generated.

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Generative Adversarial Networks (GANs) vs. Deep Reinforcement Learning (DRL)

Heartbeat

It provides sensory data (observations) and rewards to the agent, and the agent acts in the environment based on its policy. The agent uses the reward signal to update the neural network and improve its policy for future actions. The agent operates in a simulated or physical world called the environment.