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AI Agents with Atomic Agents 🚀 with Kenny Vaneetvelde (Ep. 280)
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Run massive models on crappy machines (Ep. 279)
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WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278)
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Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything (Ep. 277)
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Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276)
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Autonomous Weapons and AI Warfare (Ep. 275)
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8 Proven Strategies to Scale Your AI Systems Like OpenAI! 🚀 (Ep. 274)
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Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273)
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AI bubble, Sam Altman’s Manifesto and other fairy tales for billionaires (Ep. 272)
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AI vs. The Planet: The Energy Crisis Behind the Chatbot Boom (Ep. 271)
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Love, Loss, and Algorithms: The Dangerous Realism of AI (Ep. 270)
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VC Advice Exposed: When Investors Don’t Know What They Want (Ep. 269)
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AI Says It Can Compress Better Than FLAC?! Hold My Entropy 🍿 (Ep. 268)
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What Big Tech Isn’t Telling You About AI (Ep. 267)
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Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner [RB] (Ep. 266)
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Kaggle Kommando’s Data Disco: Laughing our Way Through AI Trends (Ep. 265) [RB]
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AI and Video Game Development: Navigating the Future Frontier (Ep. 264) [RB]
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LLMs: Totally Not Making Stuff Up (they promise) (Ep. 263)
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AI: The Bubble That Might Pop—What’s Next? (Ep. 262)
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Data Guardians: How Enterprises Can Master Privacy with MetaRouter (Ep. 261)
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Low-Code Magic: Can It Transform Analytics? (Ep. 260)
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Do you really know how GPUs work? (Ep. 259)
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Harnessing AI for Cybersecurity: Expert Tips from QFunction (Ep. 258)
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Rust in the Cosmos Part 4: What happens in space? (Ep. 257)
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Rust in the Cosmos Part 3: Embedded programming for space (Ep. 256)
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Rust in the Cosmos Part 2: testing software in space (Ep. 255)
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Rust in the Cosmos Part 1: Decoding Communication (Ep. 254)
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Revolutionizing Robotics: Embracing Low-Code Solutions (Ep. 251)
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Is SQream the fastest big data platform? (Ep. 250)
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OpenAI CEO Shake-up: Decoding December 2023 (Ep. 249)
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Careers, Skills, and the Evolution of AI (Ep. 248)
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Open Source Revolution: AI’s Redemption in Data Science (Ep. 247)
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Debunking AGI Hype and Embracing Reality [RB] (Ep. 245)
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Destroy your toaster before it kills you. Drama at OpenAI and other stories (Ep. 244)
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The AI Chip Chat 🤖💻 (Ep. 243)
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Rolling the Dice: Engineering in an Uncertain World (Ep. 242)
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How Language Models Are the Ultimate Database(Ep. 241)
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Elon is right this time: Rust is the language of AI (Ep. 240)
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Attacking LLMs for fun and profit (Ep. 239)
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Unlocking Language Models: The Power of Prompt Engineering (Ep. 238)
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Erosion of Software Architecture Quality in the Age of AI Code Generation (Ep. 237)
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The new dimension of AI: Vector Databases (Ep. 236)
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Building Self Serve Business Intelligence With AI and LLMs at Zenlytic (Ep. 235)
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Full steam ahead! Unraveling Forward-Forward Neural Networks (Ep. 232)
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The LLM Battle Begins: Google Bard vs ChatGPT (Ep. 231)
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Unleashing the Force: Blending Neural Networks and Physics for Epic Predictions (Ep. 230)
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AI’s Impact on Software Engineering: Killing Old Principles? [RB] (Ep. 229)
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Warning! Mathematical Mayhem Ahead: Demystifying Liquid Time-Constant Networks (Ep. 228)
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Efficiently Retraining Language Models: How to Level Up Without Breaking the Bank (Ep. 227)
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Revolutionize Your AI Game: How Running Large Language Models Locally Gives You an Unfair Advantage Over Big Tech Giants (Ep. 226)
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Rust: A Journey to High-Performance and Confidence in Code at Amethix Technologies (Ep. 225)
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The Power of Graph Neural Networks: Understanding the Future of AI - Part 2/2 (Ep.224)
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The Power of Graph Neural Networks: Understanding the Future of AI - Part 1/2 (Ep.223)
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Leveling Up AI: Reinforcement Learning with Human Feedback (Ep. 222)
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The promise and pitfalls of GPT-4 (Ep. 221)
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AI’s Impact on Software Engineering: Killing Old Principles? (Ep. 220)
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Edge AI applications for military and space [RB] (Ep. 219)
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Prove It Without Revealing It: Exploring the Power of Zero-Knowledge Proofs in Data Science (Ep. 218)
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Deep learning vs tabular models (Ep. 217)
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[RB] Online learning is better than batch, right? Wrong! (Ep. 216)
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Chatting with ChatGPT: Pros and Cons of Advanced Language AI (Ep. 215)
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Accelerating Perception Development with Synthetic Data (Ep. 214)
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Edge AI applications for military and space [RB] (Ep. 213)
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From image to 3D model (Ep. 212)
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Machine learning is physics (Ep. 211)
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Autonomous cars cannot drive. Here is why. (Ep. 210)
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Evolution of data platforms (Ep. 209)
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[RB] Is studying AI in academia a waste of time? (Ep. 208)
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Private machine learning done right (Ep. 207)
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Edge AI for applications in military and space (Ep. 206)
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[RB] What are generalist agents and why they can change the AI game (Ep. 205)
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LIDAR, cameras and autonomous vehicles (Ep. 204)
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Predicting Out Of Memory Kill events with Machine Learning (Ep. 203)
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Is studying AI in academia a waste of time? (Ep. 202)
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Zero-Cost Proxies: How to find the best neural network without training (Ep. 201)
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Streaming data with ease. With Chip Kent from Deephaven Data Labs (Ep. 198)
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Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)
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State of Artificial Intelligence 2022 (Ep. 196)
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Improving your AI by finding issues within data pockets (Ep. 195)
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Fake data that looks, feels, and behaves like production.(Ep.194)
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Batteries and AI in Automotive (Ep. 193)
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Collect data at the edge [RB] (Ep. 192)
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Bayesian Machine Learning with Ravin Kumar (Ep. 191)
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What is spatial data science? With Matt Forest from Carto (Ep. 190)
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Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189)
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History of data science [RB] (Ep. 188)
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Artificial Intelligence and Cloud Automation with Leon Kuperman from Cast.ai (Ep. 187)
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Embedded Machine Learning: Part 5 - Machine Learning Compiler Optimization (Ep. 186)
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Embedded Machine Learning: Part 4 - Machine Learning Compilers (Ep. 185)
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Embedded Machine Learning: Part 3 - Network Quantization (Ep. 184)
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Embedded Machine Learning: Part 2 (Ep. 183)
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Embedded Machine Learning: Part 1 (Ep.182)
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History of Data Science (Ep. 181)
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Capturing Data at the Edge (Ep. 180)
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[RB] Composable Artificial Intelligence (Ep. 179)
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What is a data mesh and why it is relevant (Ep. 178)
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Environmentally friendly AI (Ep. 177)
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Do you fear of AI? Why? (Ep. 176)
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Composable models and artificial general intelligence (Ep. 175)
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Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)
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