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William Falcon, Founder and CEO of Lightning AI – Interview Series

Unite.AI

PyTorch Lightning was initially developed by William Falcon in 2015 while he was at Columbia University. It was later open-sourced in 2019 during his PhD at NYU and Facebook AI Research, under the guidance of Kyunghyun Cho and Yann LeCun. to Lightning AI and the vision driving this evolution? The transition from Grid.ai

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New AI training techniques aim to overcome current challenges

AI News

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. Potentially, this could open more avenues for new competitors in the inference market.

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The exponential expenses of AI development

AI News

This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolution. At the heart of this financial problem lies a relentless push for bigger, more sophisticated AI models.

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AI Singularity and the End of Moore’s Law: The Rise of Self-Learning Machines

Unite.AI

Unlike traditional computing, AI relies on robust, specialized hardware and parallel processing to handle massive data. What sets AI apart is its ability to continuously learn and refine its algorithms, leading to rapid improvements in efficiency and performance. AI systems are also becoming more independent.

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Has AI Taken Over the World? It Already Has

Unite.AI

Here, we explore key milestones in AI's journey, examining its technological breakthroughs and growing impact on the world. 1956 – The Inception of AI The journey began in 1956 when the Dartmouth Conference marked the official birth of AI. On the surface, this might seem beneficial, offering a personalized experience.

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How to Secure AI Training Data

Unite.AI

In 2023, Microsoft suffered such an incident, accidentally exposing 38 terabytes of private information during an AI research project. AI training datasets may also be vulnerable to more harmful adversarial attacks. Its an attack type known as data poisoning, and AI developers may not notice the effects until its too late.

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Democratizing AI: Exploring the Impact of Low/No-Code AI Development Tools

Unite.AI

Artificial Intelligence (AI) has become a pivotal force in the modern era, significantly impacting various domains. The emergence of low/No-code platforms has introduced accessible alternatives for AI development. By lowering technical barriers, these platforms enable more people to contribute to AI development.