About this podcast
[AI Generated Podcast]
Learn and Level up your Gen AI expertise from AI. Everyone can listen and learn AI any time, any where.
Whether you're just starting or looking to dive deep, this series covers everything from Level 1 to 10 – from foundational concepts like neural networks to advanced topics like multimodal models and ethical AI. Each level is packed with expert insights, actionable takeaways, and engaging discussions that make learning AI accessible and inspiring.
🔊 Stay tuned as we launch this transformative learning adventure – one podcast at a time. Let’s level up together! 💡✨
Episodes
The newest 20 of 45 episodes
- Recursive Self Improvement · 1 h 0 min · Season 3 Episode 21Imagine holding a wrench on an assembly line. Suddenly, it leaps from your hand, sprouts its own mechanical arms, and begins forging a faster, lighter wrench without you. You are…
- Master the New Physics of AI with Context Graphs & GraphRAG · 18 min · Season 3 Episode 20Stop trying to find the "magic words" to hack your LLM. The era of the Prompt Engineer—tweaking adjectives and hoping for the best—is officially over. We are entering the age of…
- Context Graph · 20 min · Season 3 Episode 19Stop feeding your AI static facts in a dynamic world. Most RAG systems and Knowledge Graphs rely on a fundamental unit called the "Triple" (Subject, Verb, Object). It’s…
- Nested Learning: The Illusion of Deep Learning Architectures · 13 min · Season 3 Episode 18Why do today's most powerful Large Language Models feel... frozen in time? Despite their vast knowledge, they suffer from a fundamental flaw: a form of digital amnesia that…
- Memento: Fine-tuning LLM Agents without Fine-tuning LLMs · 19 min · Season 3 Episode 17What if you could build AI agents that get smarter with every task, learning from successes and failures in real-time—without the astronomical cost and complexity of constant…
- MemGPT: Towards LLMs as Operating Systems · 18 min · Season 3 Episode 16Have you ever felt the frustration of an LLM losing the plot mid-conversation, its brilliant insights vanishing like a dream? This "goldfish memory"—the limited context window—is…
- DeepSeek-OCR: Contexts Optical Compression · 14 min · Season 3 Episode 15The single biggest bottleneck for Large Language Models isn't intelligence—it's cost. The quadratic scaling of self-attention makes processing truly long documents prohibitively…
- A Definition of AGI · 20 min · Season 3 Episode 14For decades, Artificial General Intelligence has been a moving target, a nebulous concept that shifts every time a new AI masters a complex task. This ambiguity fuels…
- Teaching LLMs to Plan: Logical CoT Instruction Tuning for Symbolic Planning · 17 min · Season 3 Episode 13Large Language Models (LLMs) like GPT and LLaMA have shown remarkable general capabilities, yet they consistently hit a critical wall when faced with structured symbolic…
- Five Orders of Magnitude: Analog Gain Cells Slash Energy and Latency for Ultra-Fast LLMs · 17 min · Season 3 Episode 12In this episode, we explore an innovative approach to overcoming the notorious energy and latency bottlenecks plaguing modern Large Language Models (LLMs). The core of generative…
- The Great Undertraining: How a 70B Model Called Chinchilla Exposed the AI Industry's Billion-Dollar Mistake · 14 min · Season 3 Episode 11For years, a simple mantra has cost the AI industry billions: bigger is always better. The race to scale models to hundreds of billions of parameters—from GPT-3 to Gopher—seemed…
- RewardAnything: Generalizable Principle-Following Reward Models · 21 min · Season 3 Episode 10What if the biggest barrier to truly aligned AI wasn't a lack of data, but a failure of language? We spend millions on retraining LLMs for every new preference—from a customer…
- AI That Evolves: Inside the Darwin Gödel Machine · 29 min · Season 3 Episode 9What if an AI could do more than just learn from data? What if it could fundamentally improve its own intelligence, rewriting its source code to become endlessly better at its…
- The AI Reasoning Illusion: Why 'Thinking' Models Break Down · 12 min · Season 3 Episode 8The latest AI models promise a revolutionary leap: the ability to "think" through complex problems step-by-step. But is this genuine reasoning, or an incredibly sophisticated…
- When AI Rewrites Its Own Code to Win: Agent of Change · 13 min · Season 3 Episode 7Large Language Models have a notorious blind spot: long-term strategic planning. They can write a brilliant sentence, but can they execute a brilliant 10-turn game-winning…
- Eureka: How AI Learned to Write Better Reward Functions Than Human Experts · 21 min · Season 3 Episode 6Reward engineering is one of the most brutal, time-consuming challenges in AI—a "black art" that forms the very foundation of how intelligent agents learn. For decades, it's been…
- AlphaEvolve: How Google's AI Now Evolves Code to Solve Decades-Old Puzzles & Optimize Our World · 25 min · Season 3 Episode 5Imagine an AI that doesn't just write code, but evolves it—learning, adapting, and iteratively improving to conquer challenges that have stumped human ingenuity for over half a…
- LLM Evaluation - How We Really Know If AI Is Getting Smarter · 26 min · Season 4 Episode 1AI leaps forward every week, but how do we cut through the noise and truly measure progress? This isn't just academic; it's fundamental to trusting and advancing AI. Forget…
- RAG-MCP: Mitigating Prompt Bloat and Enhancing Tool Selection for LLM · 14 min · Season 2 Episode 10Large Language Models (LLMs) face significant challenges in effectively using a growing number of external tools, such as those defined by the Model Context Protocol (MCP). These…
- DeepSeek Prover V2 - AI's New Frontier in Formal Mathematics · 17 min · Season 2 Episode 9In this episode, we dissect DeepSeek Prover V2, an open-source large language model pushing the boundaries of AI in formal theorem proving using Lean 4. We unpack its innovative…
