Remove 2020 Remove AI Remove Supervised Learning
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Generative vs Discriminative AI: Understanding the 5 Key Differences

Data Science Dojo

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. What is Generative AI?

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Avery Smith’s 90-Day Blueprint: Fast-Track to Landing a Data Job

Towards AI

Author(s): Louis-François Bouchard Originally published on Towards AI. Louis-François Bouchard in What is Artificial Intelligence Introduction to self-supervised learning·4 min read·May 27, 2020 80 … Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

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How generative AI delivers value to insurance companies and their customers

IBM Journey to AI blog

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

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Xavier Amatriain’s Machine Learning and Artificial Intelligence 2019 Year-end Roundup

KDnuggets

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

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Introduction to Large Language Models for Generative AI

AssemblyAI

Generative AI has made great strides in the language domain. GPT-4’s performance on various example compared to GPT-3.5 ( source ) These Generative AI models are progressively migrating from the ivory tower and finding themselves integrated into our everyday lives through tools like Microsoft’s Copilot.

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What Is Self-Supervised Learning and Why Should You Care?

Mlearning.ai

“Self-Supervised methods […] are going to be the main method to train neural nets before we train them for difficult tasks” —  Yann LeCun Well! Let’s have a look at this Self-Supervised Learning! Let’s have a look at Self-Supervised Learning. That is why it is called Self -Supervised Learning.

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Meet the winners of the Video Similarity Challenge!

DrivenData Labs

¶ Participants in the Meta AI Video Similarity Challenge found creative ways to improve representations used for copy detection, as well as localization techniques that allow copied sections to be identified efficiently within longer videos. In December 2022, DrivenData and Meta AI launched the Video Similarity Challenge.