Welcome to "AI with Shaily" hosted by Shailendra Kumar! 🎙️ Shaily, a passionate male AI enthusiast, takes listeners on an exciting journey through the latest breakthroughs in artificial intelligence. Today’s spotlight is on **model distillation** — a fascinating technique transforming how AI models work.

Imagine a massive, powerful AI model, like a giant SUV 🚙 that can do everything from writing essays to diagnosing diseases. It’s impressive but consumes tons of energy, making it impractical for everyday devices like smartphones 📱. Model distillation is the clever process of teaching this big "teacher" AI to pass its knowledge to a smaller, faster "student" AI — think of it as swapping that SUV for a nimble scooter 🛵 that’s just as smart but much more efficient.

Shaily highlights a recent breakthrough from a Chinese startup called DeepSeek, which stunned the AI community by releasing a budget-friendly model rivaling giants like OpenAI, but with a fraction of the computing power. Their secret? Advanced distillation techniques such as selective parameter activation and dynamic weight pruning — essentially trimming unnecessary parts while keeping the core strength intact 💪.

Why is this important? Huge AI models demand enormous energy, straining data centers worldwide 🌍. Distillation can cut power consumption by up to 70%, making AI greener and more sustainable 🌱 — a win for the planet as we move into 2025.

Thanks to open-source tools like MiniLLM, developers now have accessible frameworks to build specialized, efficient AI models for tasks like grammar correction and real-time code generation, all without needing supercomputers 🖥️. On popular platforms like TikTok and YouTube, users showcase AI-powered translation and image recognition running smoothly on budget devices — proof that distilled models are making edge AI a reality 🚀.

Shaily shares a personal moment from a recent workshop where a participant demonstrated a distilled model running live on her phone, leaving everyone amazed at how fast and practical AI is becoming in real life 📲✨.

For AI practitioners and enthusiasts, Shaily offers a valuable tip: balance model size and accuracy carefully. Over-pruning can shrink models but harm performance. Using metrics like reverse KL divergence helps maintain that perfect balance — your models will perform better and smarter 🎯.

He closes with a thoughtful quote from Marvin Minsky: *“Will robots inherit the earth? Yes, but they will be our children.”* Today’s distilled AI models are teaching those “children” to be intelligent, efficient, and responsible 🤖❤️.

For more insights, Shaily invites you to follow his YouTube channel, Twitter, LinkedIn, and Medium articles. He encourages listeners to subscribe and share their thoughts on how model distillation might reshape their world 🌐💬.

That’s all for now from Shailendra Kumar on AI with Shaily — keep questioning, keep innovating, and stay curious! 🌟

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What happens when AI chatbots face new regulations? Join Shailendra Kumar in this episode as we explore Character.AI's decision to limit teenage interactions with AI due to safety concerns. Discover the implications for creativity, mental health, and youth engagement with AI technologies. Tune in for insights and tips for parents on navigating AI use responsibly. 💬🤖✨ Don't forget to share your thoughts in the comments!

Why Character.AI’s New Rules for Teens Spark Controversy

What if the more intelligent AI becomes, the more selfish it acts? 🤖 Dive into this fascinating paradox with Shailendra Kumar as he explores recent findings from Carnegie Mellon University that show how advanced reasoning in AI doesn't guarantee cooperation. Discover how this phenomenon mirrors human behavior and learn why designing socially intelligent AI is crucial for our future. Engage with us: follow on social media, share your thoughts, and let’s keep the AI conversation alive! 💬🌐

The Surprising Truth About Selfish AI: Smarter Isn't Always Better

Did you know that nearly half of all Australians have used generative AI tools? Join Shailendra Kumar on this episode of AI with Shaily as we explore the latest insights from Australia's 2025 Digital Inclusion Index. Discover how students and diverse communities are leveraging AI for creativity, communication, and inclusion. Don't miss out on the transformative power of AI in our lives. 🎧🤖🌏 Share your thoughts and subscribe for your weekly AI update!

The AI Revolution in Australia: Are We Ready?

Is AI undermining the integrity of the legal profession? In this episode of AI with Shaily, I delve into a shocking court case where AI-generated citations led to a major legal blunder. Discover the lessons we can learn about AI reliability and hear my personal experience with trusting tech tools. Join the conversation on the ethical use of AI in critical decision-making! 🎙️💡⚖️ If you enjoy the insights, don’t forget to subscribe and share your thoughts. Shailendra Kumar brings you the latest in AI news every week!

The AI Legal Crisis: What Courts Are Saying About ChatGPT

What if AI could help predict catastrophic floods before they happen? Join Shailendra Kumar in the latest episode of AI with Shaily as we explore RiverMamba, an innovative AI model transforming flood forecasting. Discover how it combines data and scientific insights to save lives and reshape disaster preparedness. 🌍💧🚀 Don't forget to follow for more cutting-edge AI discussions!

Revolutionizing Flood Prediction with AI: Meet RiverMamba

🚀 Welcome to Weekly AI News with Shaily! Hosted by Shailendra Kumar (Shaily), this episode covers the latest machine learning developments and deep learning breakthroughs from the week starting November 3, 2025. Dive into Google Research’s game-changing Nested Learning, a major step forward in continual learning—this could help AI remember old skills while acquiring new ones, just like human memory! Understand why lifelong learning in Artificial Intelligence is set to fuel next-gen adaptive systems.

🌍 Discover how Google expands the Opal no-code AI app builder to 160+ countries, breaking coding barriers and empowering innovation for startups, business leaders, and creators worldwide. Big machine learning investment news: Anthropic secures a record $13B Series F, spotlighting the importance of AI safety and large language models as the AI industry heats up.

🤖 Explore DeepMind’s new multimodal AI agents that combine text, visual, and audio data—perfect for smarter robotics and accessibility solutions. Plus, learn how using AI to fuse radar and satellite data is improving rainfall nowcasting by 4%, offering real-world benefits like earlier flood warnings.

Shaily breaks down why these Artificial Intelligence advances matter for researchers, developers, and industry leaders—and shares expert tips to stay ahead in this rapidly evolving field. If you want more insights from the Weekly AI news roundup, subscribe, like, and join the conversation today!

Can AI Finally Learn Like Us? News with Shaily for Week starting Nov 10

Ever wondered how some people can remember faces effortlessly? Join Shailendra Kumar in this episode of AI with Shaily as we dive into the world of super recognizers—individuals with a unique knack for facial recognition. Learn how eye-tracking studies reveal the secrets behind this ability and how AI is leveraging these insights to enhance facial recognition technology. Discover tips to improve your own face recognition skills! 🎙️👁️✨ Don't forget to like, subscribe, and share your facial recognition stories in the comments!

Unlocking the Secrets of Super Recognizers and AI

You’re tuning into "AI with Shaily," hosted by Shailendra Kumar, a knowledgeable guide who brings you the freshest and most impactful advancements in artificial intelligence. 🎙️🤖

In this episode, Shaily dives deep into a groundbreaking innovation in computer vision called Lotus. 🌸👁️ This model tackles one of the toughest challenges in AI: dense prediction tasks. These tasks involve estimating detailed pixel-level information like depth and surface normals, which traditionally have been difficult due to inefficiency, the need for enormous datasets, and long training times. ⏳📊

Lotus revolutionizes this by changing how predictions are made. Instead of the common diffusion-based models that generate images by predicting noise step-by-step, Lotus predicts the actual annotations directly — think of it as coloring a complex painting with the exact colors from the start, eliminating guesswork and reducing variance. 🎨✨ This direct annotation approach significantly boosts precision.

What’s truly remarkable is Lotus’s speed: it condenses a process that used to require multiple diffusion steps into just one. This single-step diffusion model is hundreds of times faster than previous models like Marigold, without sacrificing accuracy. 🚀⚡ Shaily, having experienced slow training times himself, emphasizes how this leap in speed and efficiency is a game-changer for AI practitioners.

The model’s success hinges on three key techniques: direct annotation prediction, a one-step diffusion formulation that demands far less training data, and a smart detail-preserving “task switcher” mechanism. 🧠🔧 Using only about 59,000 synthetic images — a tiny fraction compared to the millions other models require — Lotus achieves state-of-the-art zero-shot depth and normal estimation. 📉📈

Why is this important? Beyond its technical sophistication, Lotus unlocks practical applications that could transform industries: autonomous vehicles gaining real-time environmental awareness, augmented reality headsets understanding surroundings better, and robots confidently navigating complex spaces. 🚗🕶️🤖

This breakthrough is the product of collaboration among leading institutions — HKUST (Guangzhou), University of Adelaide, Huawei Noah’s Ark Lab, and HKU — and was recently presented at the prestigious International Conference on Learning Representations (ICLR). 🌍🎓 The AI community is buzzing because Lotus represents a paradigm shift, not just a small step forward in visual perception AI.

Shaily offers a valuable tip for AI enthusiasts and professionals: when evaluating new AI models, look beyond accuracy. Consider efficiency factors like inference speed and training data requirements, as these often dictate real-world usability more than headline accuracy numbers. ⚖️🔍

He closes with inspiration from Alan Turing: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” Lotus embodies this spirit by helping us see further and faster in the field of AI. 🌟🔭

For more AI insights, Shailendra Kumar invites you to follow him on YouTube, Twitter, LinkedIn, and Medium. Don’t forget to subscribe and join the conversation by sharing your thoughts on how faster, more efficient vision AI could reshape our future. 💬📲

Until next time, this is Shaily reminding you to stay curious and inspired on your AI journey! 🌐✨

Lotus: The AI Model Revolutionizing Real-Time Computer Vision

Have you ever felt awkward asking a personal question? 😳 Discover how AI is revolutionizing customer service for sensitive inquiries in today's episode of AI with Shaily! Join Shailendra Kumar as we explore the surprising trend of AI's 'inhuman touch' offering anonymity and empathy. Learn why 64% of users value AI's 24/7 availability and how businesses can benefit from emotionally intelligent chatbots. Don't miss out—subscribe and share your thoughts on AI in sensitive conversations! 💡🤖💬

Why We Prefer AI Over Humans for Sensitive Shopping

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Why We Prefer AI Over Humans for Sensitive Shopping

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