Hosted by Unknown Host · 🇺🇸 US · EN-US · 45 episodes
Established thought leaders with verified media credentials.
[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! 💡✨
Unknown Host hosts GenAI Level UP, a technology show with 45 episodes published.
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 bystande
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 ab
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 Job
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 deploym
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
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 fundam
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
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 betwee
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 wh
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 , r
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 intellige
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 resear
What 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 job? This isn't science fiction; it's the ra
The 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 illusion ? We move beyond the hype and standa
Large 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 strategy? This episode unpacks a groundbreaking
Reward 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 a manual process of trial, error, and int
Imagine 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 century. This isn't science fiction; this i
AI 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 marketing claims – this episode gives you the b
Large 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 challenges include prompt bloat and sele
In 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 "cold start" training procedure, where th
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GenAI Level UP is hosted by Unknown Host. The show is categorised under technology and has published 45 episodes.
GenAI Level UP has published 45 episodes.
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