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GenAI Level UP

by GenAI Level UP

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Latest episodes

Recursive Self Improvement

June 7, 2026 · 1 hr 1 min

Imagine 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 no longer the creator; you are a bystander. This isn't a…
Master the New Physics of AI with Context Graphs & GraphRAG

February 1, 2026 · 18 min

Stop 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 the Context Engineer, a discipline not about "cooking the…
Context Graph

January 25, 2026 · 20 min

Stop 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 efficient, but it’s brittle. It tells you Steve Jobs is the Chairman…
Nested Learning: The Illusion of Deep Learning Architectures

November 14, 2025 · 13 min

Why 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 prevents them from truly learning after deployment. We’ve hit a…
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

November 1, 2025 · 19 min

What 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 fine-tuning? This isn't a distant dream; it's a new paradigm…

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MemGPT: Towards LLMs as Operating Systems

November 1, 2025 · 18 min

Have 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 the Achilles' heel of modern AI, a fundamental barrier we've…
DeepSeek-OCR: Contexts Optical Compression

October 24, 2025 · 14 min

The 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 expensive, a fundamental barrier that has stalled progress…
A Definition of AGI

October 23, 2025 · 20 min

For 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 unproductive debates and obscures the real gap between today's…
Teaching LLMs to Plan: Logical CoT Instruction Tuning for Symbolic Planning

October 5, 2025 · 17 min

Large Language Models (LLMs) like GPT and LLaMA have shown remarkable general capabilities, yet they consistently hit a critical wall when faced with structured symbolic planning. This struggle is especially apparent when dealing with…
Five Orders of Magnitude: Analog Gain Cells Slash Energy and Latency for Ultra-Fast LLMs

October 5, 2025 · 17 min

In 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 LLMs, powered by Transformer networks, relies on the…
The Great Undertraining: How a 70B Model Called Chinchilla Exposed the AI Industry's Billion-Dollar Mistake

August 3, 2025 · 14 min

For 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 like a straight line to superior intelligence. But this…
RewardAnything: Generalizable Principle-Following Reward Models

August 3, 2025 · 21 min

What 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 service bot that must be concise to a research assistant that…

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About the show

[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! 💡✨