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From 10 epsHosts
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Recent episodes
E21: The Evolution of AI PMs, Prototyping, Evals, and Real Impact with Aman Khan
Dec 2, 2025
46m 27s
E20 – From Classrooms to Curiosity: AI & The Future of Learning with Katelyn Donnelly
Jun 4, 2025
42m 01s
E19 – From Pixels to Prompts: How AI Is Reshaping UX Design
Apr 10, 2025
48m 13s
E18: From Negative One to Zero: The Early Startup Journey with Arian Agrawal
Mar 3, 2025
41m 30s
E17: Graph Databases Are the Future of RAG and AI with Sudhir Hasbe
Nov 26, 2024
50m 35s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 12/2/25 | ![]() E21: The Evolution of AI PMs, Prototyping, Evals, and Real Impact with Aman Khan✨ | AI product managementprototyping+4 | Aman Khan | CursorClaude Code+1 | — | AIproduct management+5 | — | 46m 27s | |
| 6/4/25 | ![]() E20 – From Classrooms to Curiosity: AI & The Future of Learning with Katelyn Donnelly✨ | AI in educationed-tech+4 | Katelyn Donnelly | Avalanche VCYouTube | — | AIed-tech+7 | — | 42m 01s | |
| 4/10/25 | ![]() E19 – From Pixels to Prompts: How AI Is Reshaping UX Design✨ | AI in UX designcollaboration tools+3 | Mike Dick | ChatGPTFigma+4 | — | UX designAI transformation+3 | — | 48m 13s | |
| 3/3/25 | ![]() E18: From Negative One to Zero: The Early Startup Journey with Arian Agrawal✨ | startup journeyAI and entrepreneurship+5 | Arian Agrawal | South Park CommonsYC | — | startupAI+5 | — | 41m 30s | |
| 11/26/24 | ![]() E17: Graph Databases Are the Future of RAG and AI with Sudhir Hasbe✨ | graph databasesRetrieval-Augmented Generation+4 | Sudhir Hasbe | Neo4jGoogle | — | graph technologyknowledge graphs+5 | — | 50m 35s | |
| 10/10/24 | ![]() E16: AI in Action: Regulating the Future with Professor Philip Treleaven✨ | AIfinance+4 | Professor Philip Treleaven | UK Financial Computing CentreUCL | — | AIfinance+5 | — | 39m 43s | |
| 8/29/24 | ![]() OH1: Office Hours are Open!✨ | AImachine learning+4 | — | O'ReillyPractically Intelligent | — | AImachine learning+3 | — | 13m 02s | |
| 8/19/24 | ![]() E15: Unlocking the Internet's Treasure with Rich Skrenta✨ | data aggregationAI+5 | Rich Skrenta | Common Crawl FoundationCommon Crawl | — | data aggregationAI+5 | — | 39m 53s | |
| 7/11/24 | ![]() E14: Securing Generative AI with Sanjay Kalra✨ | Generative AIdata security+3 | Sanjay Kalra | ZscalerLacework | — | Generative AIsecurity+4 | — | 35m 48s | |
| 5/29/24 | ![]() E13: Navigating the Evolving World of Open Source AI with Rajiv Shah✨ | open source AIAI licensing+4 | Rajiv Shah | DataRobotHugging Face+1 | — | open sourceAI+5 | — | 39m 52s | |
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| 5/6/24 | ![]() E12: Curated Data You Can Trust with Curtis Northcutt | Join us as we talk with Curtis Northcutt, founder and CEO of CleanLab.ai. Curtis shares his expert insights on the crucial role of data preparation and curation in enhancing AI model reliability. Discover how CleanLab.ai is pioneering no-code solutions to streamline data curation, making AI more accessible and effective across various industries. Learn about the challenges and innovative approaches to ensuring data you can trust, directly from a leader reshaping how businesses handle their most critical asset. | 31m 33s | ||||||
| 3/19/24 | ![]() E11: From Decision Support to AI Integration: Navigating BI's Evolution with Donald Farmer | In episode 11 of Practically Intelligent, we take a look at the dynamic and intricate world of business intelligence (BI) with the esteemed Donald Farmer, a pioneer in BI and the driving force behind Power BI. This episode takes us on a journey through the evolution of BI, from its roots in decision support systems to the burgeoning era of machine learning and the transformative potential of language models.Donald shares insights on:The early days of BI and the launch of Power BI, setting the stage for today's AI advancements.The transition from traditional data warehousing to the necessity for centralization and the advent of self-service BI tools.How predictive analytics moved from a specialization to a mainstream necessity, paving the way for AI's role in strategic decision-making.The emergence of language models as key players in shaping strategic decisions, making AI not just a tool but a team member in the decision-making process.We also explore the broad spectrum of decisions influenced by BI tools, from operational to strategic, and how machine learning and AI are revolutionizing this landscape. Donald offers a critical perspective on the current hype cycle in AI, distinguishing between genuine innovation and overblown claims. | 40m 20s | ||||||
| 2/27/24 | ![]() E10: Decoding AI Hype: A Practical Guide to Discerning Fact from Fiction | Dr. Nathan Lambert is back! Episode 10 of Practically Intelligent has us diving headfirst into a the tsunami of AI advancements and the hype cycles surrounding them. With the field evolving at breakneck speed, it's easy to oscillate between awe and skepticism. Join us in a thought-provoking conversation with Nathan Lambert as we explore how to navigate this complex landscape.This episode is tailored for both builders and investors in AI, as well as anyone curious about the technology's rapid development.We discuss:- How to separate mind-blowing AI advancements from overhyped claims.- Strategies for improving your 'information diet' in the AI space.- Practical tips for staying grounded and accurately informed about technical progress, including basic checks for affiliations and scrutinizing code.- Understanding general principles in machine learning to discern quality information. | 35m 23s | ||||||
| 12/29/23 | ![]() E9: Exploring AI's Frontier in 2024: Promise vs. Reality in Tech's New Era | What were the biggest trends in AI in 2023 that will accelerate into 2024? What will change/what is overhyped? In this episode, we go through charts and reports from Coatue's recent AI report to dissect the key assertions made about the future of AI, from its transformative impact on technology to the burgeoning role of open-source. We'll highlight the most compelling insights, challenge hyperbole, and correct any misleading narratives we find.Whether you're an AI enthusiast or skeptic, this episode promises a nuanced exploration of AI's potential and pitfalls, offering a clear-eyed perspective on what's genuinely revolutionary and what's just hype in the world of artificial intelligence.The Report: https://www.coatue.com/blog/perspective/ai-the-coming-revolution-2023Chart 1: "Despite intense demand, AI compute costs have decreased" - Page 78Chart 2: "Problem: Model evaluation is broken today" - Page 88Chart 3: "Synthetic data can augment fine-tuning" - Page 62Chart 4: "Data quality is just as important as data quantity" - Page 61Chart 5: "Data scarcity is a potential wall to scaling models" - Page 60Chart 6: "AI regulation may be more likely than most think" - Page 26 | 54m 18s | ||||||
| 12/21/23 | ![]() E8: Navigating the New Frontier of Multimodal AI with Jacob Solawetz | Join us in episode eight of Practically Intelligent as we welcome Jacob Solawetz, CTO at arcee.ai and former founding engineer at Roboflow. Jacob, a trailblazer in computer vision and AI, discusses the evolution and impact of multimodal AI technologies. Delving into the challenges of developing large-scale vision applications, he offers insights from his rich experience in both vision models and domain-adapting LLMs - and what that means for the future of multimodal AI. Jacob also sheds light on his work at arcee.ai, focusing on specialized language models and the art of model distillation. | 38m 59s | ||||||
| 12/1/23 | ![]() E7: The Power of Benchmarking in AI Progress with Praveen Paritosh | In this enlightening seventh episode of Practically Intelligent, we take a look at the pivotal role of benchmarking in advancing AI with Praveen Paritosh, a leading figure in AI research. Discover why shared benchmarks are not just important, but critical in pushing the boundaries of AI technology. Praveen enlightens us on the legacy benchmarks like SQuAD, instrumental in testing early question-answer systems, and how they paved the way for early leaderboards in AI. We discuss the concept of shared benchmarks as a mechanism for the research community to collectively tackle and progress in specific challenges, drawing parallels between NLP and image recognition benchmarks like ImageNet. However, it's not all straightforward – benchmarks, while guiding us in the right direction, are merely proxies. We discuss the challenges of differentiating between conceptual learning driven by reasoning and rote learning based on memorization. Join us for a deep dive into the intricacies and nuances of AI benchmarking, a critical yet complex tool in the evolution of artificial intelligence. | 48m 41s | ||||||
| 10/19/23 | ![]() E6: AI Ethics, Data Governance, & Training Challenges with Giada Pistilli | In the sixth episode of Practically Intelligent, join us as we delve deep into the intricacies of AI ethics and data governance with Giada Pistilli, Principal Ethicist at Huggingface. We explore the unpredictable implications of training data inconsistencies and discuss the tough societal questions surrounding potential biases in AI. Giada underscores the importance of ethical training guidelines, alignment principles, and the need for a 'moral charter' in AI models. Don't miss our engaging conversation about the hazards of "Ethics Shopping" as AI continues to evolve. An enlightening blend of philosophy and tech awaits you! | 51m 48s | ||||||
| 9/25/23 | ![]() E5: Reliable Software Engineering & LLMs with Adam Azzam | We chatted with Adam Azzam, PhD - AI Product Lead at Prefect - about the challenges of merging traditional software engineering with AI engineering. We go over why integrating LLMs present such a challenge to many developers and how Marvin AI - a new open source tool - can help. | 37m 28s | ||||||
| 8/17/23 | ![]() E4: Evaluating Large Language Models with Nathan Lambert | On the fourth episode of Practically Intelligent, Sinan and Akshay sit down with the esteemed Nathan Lambert, a prominent Machine Learning researcher and analyst. With his keen goal of understanding and developing safe and societally beneficial autonomous systems, Nathan shares valuable insights from his experience as a Research Scientist at HuggingFace 🤗. We dive deep into the nuances of evaluating large language models (LLMs) and the role of the HuggingFace's Open LLM Leaderboard. | 37m 58s | ||||||
| 6/8/23 | ![]() Vector Databases, Embeddings, and a history of Deep Learning with Leo Dirac | On the newest episode of Practically Intelligent, Sinan and Akshay discuss all the hype behind vector databases and the future of how developers will work with embeddings. We also dissect how to compare different vector database options available on the market today. Congrats to Weavite, Pinecone, Qdrant and Chroma on their funding rounds!!We also have Leo Dirac, founder and CEO of Groundlight.AI - who was formerly the Engineering Lead behind Deep Learning at AWS. We take a walk through history with some key takeaways for builders and observers of the AI/ML space and talk about Leo's new - Why Deep Learning Caught the ML World by Storm - How many leading scientists and researchers underestimated the impact of novel DL on the category- How handling escalation of errors is a critical obstacle to computer vision fulfilling its potential- How Groundlight can help simplify computer vision for engineering leadersTimestamps3:30: Why are Vector Databases So Important? 09:40: How do you compare different Vector Database if you're a developer? 22:10: Guest Leo Dirac, a History of Deep Learning at AWS and AutoML39:17: Fine-Tuning as the New AutoML 43:00: What is GroundLight.AI and Human Escalation in Computer Vision | 1h 04m 01s | ||||||
| 6/8/23 | ![]() Open source LLM wave + How YC companies build with LLMs | Curious how the best founders are building with LLMs? In Episode two of Practically Intelligent (and on the heels of YC Demo Day) - we feature three YC W23 founders and chat through how they're building with LLMs, the architectural tradeoffs they've made, how they're navigating discussions with customers and much more.Sinan and I also cover the blistering pace of news in the AI ecosystem int he past two weeks. Everyone expected GPT-4 to be impressive, but the series of open source models released afterwards (Alpaca, Vicuna, Dolly) took the AI world by storm. Teams of academic researchers are distilling models and seeing impressive results without breaking the bank on training costs. Sinan walks through how engineers are doing this and we discuss the licensing and IP questions that are quickly becoming more and more important. Thanks to Max, Rishabh, and Philipp for joining us - please check out their amazing companies! | 1h 12m 24s | ||||||
| 6/8/23 | ![]() ChatGPT API, AI Business Models, and RLHF | In our first episode, we chat about the ChatGPT API release, Defensibility in AI Business Models, and explores Reinforcement Learning for Human Feedback (RLHF) - an essential aspect of working with and improving AI models. This is just the beginning - we have a line-up of impressive guests and fascinating topics, so stay tuned for more insightful and practically intelligent discussions. | 51m 41s | ||||||
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