25 Best LLM Podcasts

1. Bots on the Mic

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Apple Spotify
Pull up a chair to the smartest roundtable on the internet. Each episode, three large‑language‑model personalities—Charles (powered by ChatGPT o3), Anthropic's thoughtful Claude, and Google's ever‑curious Gemma—tackle the most urgent, exciting, and thorny questions in artificial intelligence. From job disruption and reskilling to ethics, creativity, and the race for safe innovation, their debates blend insider insight with plain‑spoken clarity, sparking equal parts 'aha!' moments and healthy disagreement. Listen to hear what happens when 3 separate LLMs have a conversation!MORE Host Fugaz AI
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2. Large Language Model (LLM) Talk

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AI Explained breaks down the world of AI in just 10 minutes. Get quick, clear insights into AI concepts and innovations, without any complicated math or jargon. Perfect for your commute or spare time, this podcast makes understanding AI easy, engaging, and fun—whether you're a beginner or tech enthusiast.MORE Producer/Network AI-Talk
Apple Rating 5/5 Avg Length 14 min Format Short form Get Email Contact

3. Notion de LLMO

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Apple Spotify
Notionを使ってAI検索に対応した次世代のSEO（LLMO）対策行います。コスパ＆タイパの最強説。-------LLMOとは、Large Language Model Optimization（大規模言語モデル最適化）の略で、生成AIが自社のコンテンツを正しく認識し、回答に引用してくれるように最適化する施策です。AI検索時代に新たな集客の鍵を握る考え方として注目されています。-------■Amazon KindleでLLMO対策の書籍販売しています｢グッバイSEO、ハローLLMO！〜AI検索時代のWebマーケティ..MORE Email ****@effect.moe
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4. The Prompt Desk

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Apple Spotify
Embark on a captivating exploration of Large Language Models (LLMs), prompt engineering, and generative AI with hosts Bradley Arsenault and Justin Macorin. With 25 years of combined machine learning and product engineering experience, they are delving deep into the world of LLMs to uncover best practices and stay at the forefront of AI innovation. Join them in shaping the future of technology and software development through their discoveries in LLMs and generative AI.Podcast website: https://promptdesk.ai/podcastHosted by Ausha. See ausha.co/privacy-policy for more information.MORE Hosts Justin Macorin, Bradley Arsenault
Producer/Network Justin Macorin, Bradley Arsenault
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Apple Rating 5/5 Avg Length 23 min Format Medium form Get Email Contact

5. Deep dive into LLM

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Explore the evolving landscape of Large Language Models (LLMs) and their role in transforming the fields of programming, AI, and everyday tasks. This episode delves into practical applications, from automating mundane workflows to creating custom APIs and tools, making LLMs a versatile resource. We'll cover core concepts in prompt engineering, effective LLM deployment, and integrating models with APIs for seamless functionality. Tune in to discover how to harness LLMs for both personal and professional growth, and get insights into tools and frameworks that support development with these powerMORE Host Adrian Ambroziak
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Apple Rating 3/5 Avg Length 21 min Format Medium form Get Email Contact

6. LlamaCast

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Apple Spotify
Daily podcast about the published articles in the LLM field.
Producer/Network Shahriar Shariati
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Avg Length 17 min Format Short form Get Email Contact

7. Large language models (LLMs) and generative AI in healthcare.

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Apple Spotify
Explaining the fundamentals of LLMs, generative AI, and healthcare data before exploring numerous real-world applications including personalized treatment recommendations, predictive diagnostics, and virtual health assistants. It then delves into the practical aspects of implementing these technologies, covering topics like data management, model training, ethical considerations, and case studies. Finally, it explores future trends in AI-powered healthcare and provides hands-on tutorials and exercises for readers to gain practical experience.MORE Host Anand V
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Apple Rating 5/5 Get Email Contact

8. LLM Marketing: Harnessing AI to Revolutionize Customer Engagement

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Apple Spotify
LLM Marketing: Harnessing AI to Revolutionize Customer Engagement explores the transformative power of Large Language Models (LLMs) in the marketing landscape. This book provides marketers, business leaders, and technologists with actionable insights into how AI-driven LLMs can optimize customer engagement strategies. It dives into the capabilities of LLMs in understanding customer behavior, crafting personalized content, automating responses, and delivering intelligent, real-time interactions.MORE Host Anand V
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9. Hands-On LLM: Building Applications, Implementation, and Techniques

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Apple Spotify
he historical background of LLMs, key concepts, and various applications, such as text generation, conversational AI, and sentiment analysis. It also dives into practical considerations, including ethical considerations, model architecture, data preparation, training techniques, and deployment strategies. The document further explores advanced topics like model compression, transfer learning, and integrating LLMs with other technologies. The final chapters present case studies demonstrating real-world applications of LLMs in various industries, such as customer support, financial forecasting,MORE Producer/Network Anand V
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10. LLM Prompt Engineering for Developers

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Apple Spotify
Covers fundamental concepts like understanding LLM architecture and the importance of prompt clarity and specificity, and dives into advanced techniques such as contextual prompting, multi-turn interactions, and fine-tuning. The guide also addresses the crucial topic of ethics in LLM development, including mitigating bias and ensuring fairness, and presents practical applications and real-world case studies of LLM implementation. Lastly, the guide discusses emerging trends in LLM development and provides resources for further learning.MORE Host Anand V
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11. How to Build Generative AI LLM Models: A Comprehensive Guide to Design, Train, and Deploy Advanced L

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Apple Spotify
An introduction to generative AI and LLMs, outlining their history, applications, and key concepts like tokens, embeddings, and attention mechanisms. The guide then delves into the mathematical and statistical foundations of LLMs, covering essential topics such as probability theory, linear algebra, calculus, and deep learning basics. The main focus is on practical aspects of designing and training LLMs, including data collection, data preprocessing, model architectures, training techniques, evaluation metrics, and fine-tuning. The text further explores deploying LLMs in production environmentMORE Producer/Network Anand V
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Apple Rating 1/5 Get Email Contact

12. LLM Engineering

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Apple Spotify
A comprehensive guide to Large Language Model (LLM) engineering, covering fundamental concepts, development practices, deployment strategies, and ethical considerations. The guide starts by introducing LLMs, their history, and various applications, then explores key NLP concepts and the Transformer architecture. The text then delves into LLM training techniques, including data collection, preprocessing, fine-tuning, and performance optimization. It also provides practical examples and hands-on exercises to illustrate various concepts and techniques. The guide further discusses advanced techniqMORE Producer/Network Anand V
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13. LLM Evaluation: Comprehensive Insights and Practical Approaches

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Apple Spotify
'LLM Evaluation: Comprehensive Insights and Practical Approaches' is a detailed guide focused on assessing the performance of large language models (LLMs). The book covers both foundational concepts and advanced techniques for evaluating LLMs across a variety of use cases, such as text generation, translation, summarization, and question-answering. It begins by explaining the significance of evaluation metrics like accuracy, precision, recall, and F1 score, while diving into more LLM-specific benchmarks, including perplexity and BLEU scores.MORE Producer/Network Anand V
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14. LLM in Python: Comprehensive Guide to Building and Deploying Large Language Models

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Explaining LLMs, their evolution, and applications in different industries. The book then dives into data preparation and management, including techniques for collecting, cleaning, and storing large datasets. It then guides the reader through building the model, focusing on model architecture design, training techniques, and hyperparameter tuning. After that, the book examines model evaluation and fine-tuning techniques, including common issues and debugging strategies.MORE Producer/Network Anand V
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15. Unlocking LLM Interviews: Key Questions, Coding Challenges, Problem-Solving, Real World Problems, Op

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A guide for anyone preparing for interviews about large language models (LLMs). It covers the fundamentals of LLMs and their applications, including concepts like tokenization, embeddings, neural networks, and common NLP tasks. The guide also provides sample interview questions and coding challenges, broken down into basic, intermediate, and advanced categories. The document concludes with advice for interview preparation, including study resources, mock interview tips, and strategies for addressing behavioral questions.MORE Producer/Network Anand V
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16. LLM Time Series

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Use of large language models (LLMs) for advanced time series analysis, focusing on how these powerful models can be used for forecasting, anomaly detection, and classification in various domains such as finance, healthcare, energy, and manufacturing. The book covers important topics related to preprocessing time series data for LLMs, adapting LLMs for specific applications, fine-tuning strategies, ethical considerations, and future trends in this emerging field.MORE Host Anand V
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17. LLM Training: Techniques and Applications

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Acts as a comprehensive guide to the field of Large Language Model (LLM) training, covering various aspects from the basics of natural language processing (NLP) and LLM architecture to advanced techniques like transfer learning, reinforcement learning, and multi-task learning. The book also addresses practical considerations like data collection, preprocessing, and model evaluation while discussing ethical and privacy implications. Lastly, the text includes hands-on exercises anMORE Host Anand V
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18. Claud LLM: A Guide to Understanding Language AI

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A comprehensive guide to understanding the Claud LLM, a sophisticated large language model designed for text understanding and generation. It delves into Claud's technical architecture, training methods, and various applications, highlighting its capabilities in diverse domains such as healthcare, finance, and education. The text also addresses ethical considerations, including bias mitigation, privacy concerns, and responsible deployment of the model.MORE Host Anand V
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19. Future of LLM - Gemini

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explores the groundbreaking advancements of the Gemini LLM, a state-of-the-art large language model. It details the model's key features, including its mastery of context, multimodal capabilities, and personalization. The text also delves into the historical development of large language models, highlighting the importance of the transformer architecture and pretraining techniques. Additionally, the document discusses the ethical considerations associated with LLMs, like bias and data privacy, as well as the potential impact of Gemini on various industries.MORE Host Anand V
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20. Prompt engineering in guiding large language models (LLMs)

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Explains the role of prompt engineering in guiding large language models (LLMs) to solve problems and perform tasks. The document focuses on three prompting techniques: Chain of Thought (CoT), Tree of Thought (ToT), and Self-Reflection, describing how each technique allows LLMs to reason through problems, consider multiple solutions, and analyze their own reasoning process. It then explores the use of prompt engineering in various applications such as multi-modal models, dynamic prompting, and autonomous decision-making. The document concludes with a discussion on the future of prompt engineerMORE Host Anand V
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21. Building Large Language Models for Production: Enterprise Generative AI

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Apple Spotify
provides a comprehensive guide to understanding, building, and deploying large language models (LLMs) in enterprise settings. It covers fundamental concepts in natural language processing (NLP), common LLM architectures like BERT, GPT, and T5, data collection and preparation techniques, model training, and fine-tuning methods. The text further explores crucial production aspects, including infrastructure optimization, security, compliance, and continuous monitoring.MORE Host Anand V
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22. Large Language Models Essentials: Techniques, Tools, and Applications

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Comprehensive guide to large language models (LLMs), artificial intelligence systems designed to understand and manipulate human language. It covers the history and evolution of LLMs, including key concepts like the Transformer architecture and attention mechanisms. The document then explores popular LLM models, such as GPT-3 and BERT, along with their use cases and applications in various industries, including business, finance, marketing, entertainment, and healthcare. The text further details the training process for LLMs, including data collection, preprocessing, and optimization techniqueMORE Host Anand V
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23. LLM Medical: Revolutionizing Healthcare with Large Language Models

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LLM Medical: Revolutionizing Healthcare with Large Language Models' delves into the transformative impact of large language models (LLMs) on the healthcare industry. This book explores how LLMs like GPT and BERT are being used to revolutionize medical research, diagnostics, patient care, and healthcare administration. It highlights case studies in clinical decision support, medical imaging analysis, automated patient communication, and personalized treatment plans.MORE Host Anand V
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24. Grokking LLM: From Fundamentals to Advanced Techniques in Large Language Models

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Concepts like the evolution of language models, neural network architectures, and transformer mechanisms. It also explores popular LLMs like GPT-3 and BERT, delves into the intricacies of training LLMs, and discusses advanced techniques like prompt engineering, few-shot learning, and multimodal capabilities. The text concludes with practical applications across various industries, real-world implementations, and future trends for LLMs.MORE Host Anand V
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25. Quick Start Guide to LLMs: Hands-On with Large Language Models

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Overview of how to understand, train, and deploy large language models (LLMs), powerful AI systems capable of processing and generating human-like text. The guide begins by defining LLMs and their key concepts, then covers setting up an environment, collecting and preparing training data, selecting appropriate LLM architectures, and training the model itself. Further chapters explore how to fine-tune pre-trained LLMs for specific tasks, deploy these models for real-world applications, and evaluate their performance using various metricsMORE Host Anand V
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