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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030. Lets dive in!

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Vision Language Models: Introducing the new tiny VLM Moondream 2

Data Science Dojo

While language models in generative AI focus on textual data, vision language models (VLMs) bridge the gap between textual and visual data. Understanding vision language models VLMs combine computer vision (CV) and natural language processing (NLP), enabling them to understand and connect visual information with textual data.

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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Discover the universe of Gamma AI for better protection

Dataconomy

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. DLP solutions help organizations comply with data privacy regulations, such as GDPR, HIPAA, PCI DSS, and others ( Image Credit ) What is Gamma AI? How does it work?

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Top 8 AI Conferences in North America in 2023 and 2024 

Data Science Dojo

Artificial intelligence (AI) is rapidly transforming our world, and AI conferences are a great way to stay up to date on the latest trends and developments in this exciting field. The 2023 edition of Big Data & AI Toronto will be held on October 18-19, 2023 at the Metro Toronto Convention Centre.

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Roadmap to learning Large Language Models

Data Science Dojo

and other large language models (LLMs) have transformed natural language processing (NLP). Trained on massive datasets, LLMs can generate text that is both coherent and relevant to the context, making them invaluable for a wide range of applications.

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Why are AI Products Doomed to Fail?

Towards AI

Last Updated on November 18, 2023 by Editorial Team Author(s): Jeremy Arancio Originally published on Towards AI. After one year of implementing AI features for various businesses, I share my perspective on the mistakes I see companies making with LLMs, but also which strategy to adopt. Published via Towards AI