All Things LLM is your go-to podcast for demystifying Large Language Models! We break down their core concepts—like tokens, embeddings, and the self-attention that powers GPT-4 and Llama. Learn how LLMs are built, trained, and fine-tuned (SFT, RLHF, PEFT) on massive datasets. Discover real-world use cases in healthcare, finance, chatbots, code, RAG, and more. We explore the LLM ecosystem, covering open-source vs. closed models, LLMaaS, LangChain, and LLMOps tools. Plus, we tackle challenges—hallucination, bias, ethics, security, privacy, and the future of AI. Subscribe to master LLMs and unlock AI’s full potential!
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The Paradigm Shift & The Black Box: Reasoning Models and the Quest for Understanding (00:11:38)
In the grand finale of "All Things LLM," hosts Alex and Ben look ahead to the bleeding edge—and reflect on the ultimate question for AI: can we ever truly understand how these models think? Inside this episode: The rise of reasoning models: Discover why the next leap for AI isn’t just bigger models, but smarter thinking. Explore how OpenAI’s o1 and DeepSeek-R1 represent a paradigm shift, moving from brute-force “pre-train and scale” to dynamic, inference-time reasoning. Learn how these new mo...
From Prediction to Action - Autonomous Agents and LAMs (00:08:39)
What happens when AI not only understands the world, but acts in it? In this trailblazing episode of "All Things LLM," Alex and Ben chart the rise of next-generation AI: autonomous agents and Large Action Models (LAMs). Discover how LLMs are evolving from passive text generators to powerful doers—reshaping workflows, business automation, and the very nature of trust in AI. Inside this episode: What is an autonomous AI agent? Learn how memory, tool use, and feedback loops transform LLMs from q...
Prompt Injections and Data Poisoning - Securing Your LLM (00:08:38)
As LLMs power more business workflows, security risks grow. In this essential episode of "All Things LLM," hosts Alex and Ben break down the new wave of cybersecurity threats targeting language models—and what you can do to defend your AI infrastructure. What you’ll learn: The OWASP Top 10 for LLMs: Explore the most pressing LLM security risks and why every business and developer should be aware.Prompt Injection Attacks: Learn how attackers hijack models with cleverly crafted or hidden prompt...
More Then Words - The Rise of Multimodal LLMs (00:07:42)
AI’s next great leap isn’t about bigger models—it’s about broader senses. In this season premiere of "All Things LLM," Alex and Ben explore the revolutionary world of multimodal large language models (LLMs)—the new frontier where AI can “see,” “hear,” and “understand” the world far beyond text. In this episode: Journey to Multimodality: Discover why the future of AI is about breaking beyond the limits of language, integrating text, vision, and audio for richer, more human-like intelligence.Ar...
How Good Is It, Really? - A Guide to LLM Evaluation (00:07:45)
In the season finale of "All Things LLM," hosts Alex and Ben turn to one of the most important—and challenging—topics in AI: How do we objectively evaluate the quality and reliability of a language model? With so many models, benchmarks, and metrics, what actually counts as “good”? In this episode, you’ll discover: The evolution of LLM evaluation: From classic reference-based metrics like BLEU (translation) and ROUGE (summarization) to their limitations with today’s more sophisticated, nuance...
Hallucinations, Bias, and Black Boxes - The Biggest Challenges (00:09:04)
Powerful language models are reshaping the world, but serious challenges remain. In this revealing episode of "All Things LLM," hosts Alex and AI expert Ben tackle the core limitations and ethical risks facing all large language models—open or closed. This episode covers: Hallucinations: Why LLMs make up plausible-sounding but false or misleading answers, and how techniques like Retrieval-Augmented Generation (RAG) help ground responses in reality.Bias: How AI adopts and even amplifies societ...
Open vs. Closed - The Great Model Debate (00:09:00)
Season 4 of "All Things LLM" kicks off with one of the most crucial debates in AI today: open-source vs. closed-source (proprietary) language models. Hosts Alex and Ben cut through the hype to explain what’s at stake for businesses, developers, and the entire AI ecosystem. In this episode, you’ll discover: The fundamentals: What truly sets open-source models like Llama 3, Mistral, and Falcon apart from closed systems like OpenAI’s GPT-4, Anthropic’s Claude, and Google Gemini.Key consideration...
The Human Touch - How RLHF Aligns Models with Our Values (00:05:54)
How do we make AI not just smart, but safe and genuinely helpful? In this episode of "All Things LLM," Alex and Ben break down the vital process of alignment—transforming a powerful language model into a trustworthy assistant you can rely on. Inside this episode: What is RLHF? Discover Reinforcement Learning from Human Feedback—the multi-stage process that transforms next-word predictors into helpful, instruction-following bots like ChatGPT or Claude.Step-by-Step Alignment:Supervised Fine-Tun...
The Art of the Ask - A Practical Guide to Prompt Engineering (00:06:11)
Unlock the full potential of large language models with this hands-on episode of "All Things LLM." Hosts Alex and AI expert Ben break down the essential (and rapidly evolving) discipline of prompt engineering—your steering wheel for directing AI toward more relevant, accurate, and actionable outputs. What you’ll learn: Prompt Engineering 101: Why clear, specific instructions outshine vague requests, and how role-playing, context, and breakdown techniques dramatically improve response quality....
Making It Yours - Fine-Tuning, PEFT, and RAG (00:07:26)
Discover how generalist AIs become powerful specialists in this episode of "All Things LLM." Hosts Alex and AI expert Ben break down the next stage of the LLM lifecycle—customization—and unpack the practical techniques that transform foundation models into domain experts or business-ready assistants. Learn about: Fine-Tuning: Why it’s essential for adapting pre-trained LLMs to specific fields, and how supervised training on labeled, high-quality data unlocks expert performance in areas like h...
Cooking with Terabytes - Training an LLM from Scratch (00:07:33)
Get an insider’s look behind the curtain of modern AI with this episode of "All Things LLM." Join hosts Alex and AI expert Ben as they reveal the colossal effort, expense, and ingenuity required to take a language model from “blank slate” to foundational intelligence. What you’ll learn: The massive scale of LLM training: how developers assemble and meticulously clean terabytes of text—web pages, books, code, scientific articles, forums, StackExchange, Wikipedia—to power the world's top AI mod...
The Magic of "Attention" - How LLMs Understand Context (00:05:39)
Unlock the key to modern AI with this deep-dive episode of "All Things LLM"! Hosts Alex and our resident AI expert Ben unpack the “self-attention mechanism”—the heart of every powerful Transformer model powering GPT, Llama, Gemini, and more. Discover: What “self-attention” actually means in the context of language models—and why it’s a game-changer for understanding context, reference, and meaning in sentences.How Transformers leap past traditional RNNs by evaluating the relationships between...
The Blueprint - Encoders, Decoders, and Model Families (00:05:42)
Unlock the mysteries of modern AI with "All Things LLM." In this episode, Alex and Ben break down the Transformer—the revolutionary engine powering today’s Large Language Models (LLMs) like GPT-4, Llama, and Gemini. If you’ve ever wondered how AI can both understand and generate text, this deep dive into Transformer architecture is your essential guide. You'll discover: The “encoder” and “decoder” building blocks that form the foundation of every Transformer, explained in clear, accessible la...
From Turing to Transformers - A Brief History of Language AI (00:06:52)
Curious how AI language models like ChatGPT burst into the mainstream? Welcome to "All Things LLM," where hosts Alex and AI expert Ben unravel the true origins and evolution of Large Language Models. In this episode, we journey through more than a century of discoveries that paved the way for today’s groundbreaking AI. Discover: The surprising roots of AI language work in 19th-century linguistics and early theories of semantics.Alan Turing’s pivotal questions about machine intelligence and ho...
"Hello, World!" - What Exactly Is an LLM? (00:06:06)
Step into the rapidly evolving world of artificial intelligence with the premiere of "All Things LLM." In this debut episode, hosts Alex and AI expert Ben break down one of today's most talked-about technologies: the Large Language Model (LLM). Are you curious about terms like ChatGPT, generative AI, or conversational AI—but not sure where to start? This episode offers a friendly, jargon-free introduction that’s perfect for AI beginners, business leaders, tech enthusiasts, or anyone looking t...
