🎙️ Who is Maxime Labonne?Maxime Labonne is a Staff Machine Learning Scientist at Liquid AI. Maxime received his PhD from the Polytechnic Institute of Paris and has been working with machine learning since 2019. He has applied his expertise in various contexts, including R&D, industry, finance, and academia. He is also an AI/ML Google Developer Expert. Maxime is widely known for creating popular LLMs on Hugging Face, like AlphaMonarch-7B, Beyonder-4x7B, Phixtral, and NeuralBeagle14. He also released LLM tools, such as LLM AutoEval, LazyMergekit, LazyAxolotl, and AutoGGUF. Maxime is the author of the technical book "Hands-On Graph Neural Networks using Python," published with Packt. He has written technical articles on his blog and Towards Data Science and created the popular LLM course on GitHub, which has over 27,000 stars.💡 In this episode...... we discuss Maxime's expertise in large language models (LLMs) and graph neural networks, as well as his journey from cybersecurity to machine learning. We also talk about insights on LLMS misconceptions, evaluation optimization techniques, and creating augmented datasets for fine-tuning. Maxime also talked about graph neural networks and non-transformer architectures and provided advice for leading language model research and mentoring language model research beginners. Finally, we discuss Maxime's passion for open source and knowledge sharing.Follow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Jakub Czakon?Jakub Czakon is a senior data scientist turned CMO, currently working at neptune.ai (http://neptune.ai). He has a strong background in AI and LLMs in marketing and has extensive knowledge on how to apply AI in marketing for practical implementation and trust navigation. Jakub draws inspiration from chess skill levels to teach us about data science and emphasizes the importance of learning by doing. He is also an expert in strategies for effective resource allocation and trust-building in marketing and Dev Rel, and he utilizes AI and data to inform decision-making and focuses on problem solving.💡 In this episode...... we discuss the application of AI in marketing for practical implementation and trust navigation. Jakub draws inspiration from chess skill levels to teach us about data science, emphasizes the importance of learning by doing, and shares strategies for effective resource allocation and trust-building in marketing and Dev Rel. Jakub also utilizes AI and data to inform decision-making and focuses on problem-solving.Jakub Czakon: https://www.linkedin.com/in/jakub-czakon/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Andrew Jardine?Andrew Jardine is the Head of GTM at Adaptive ML and an advocate for open-source ML. He is also the leader of the MLOps community in Toronto. Andrew's AI journey began as an early employee at Kira Systems, a Doc AI and NLP startup, where he developed the GTM playbook for the corporate market. He has since held commercial roles at Hugging Face, and worked in data science and MLOps industries. Andrew has a diverse background, having worked as a management consultant in London, qualified as a chartered accountant, and obtained a master's degree in engineering.💡 In this episode...... we discuss Andrew's fascination with gen AI use cases and LLMS advancements, and the challenges and benefits of implementing open-source AI. We talk about overcoming the challenges of open-source language models through an innovative LLM platform, evaluating LLMs for specific use cases, ensuring safety and toxicity, and more. Andrew also explains how open-source models can help large enterprises control costs and extract data, and discusses the choice between open or closed source models.Andrew Jardine: https://www.linkedin.com/in/andrew-iain-jardine/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Alex Merced?Alex Merced is a senior technical evangelist at Dremio and co-author of "Apache Iceberg: The Definitive Guide." With a diverse career path that spans from finance to developer advocacy, he is a seasoned expert in data engineering and open standards for unifying diverse data solutions. Alex is passionate about the open-source community and the excitement around data lake house technologies, which he specializes in.💡 In this episode...... we discuss data engineering and open-source technology as well as unified platforms, data lake houses, and how they can benefit AI and marketing analytics. Alex shares how Dremio's data lake house platform can optimize query performance, reduce costs, and increase scalability. He also gives advice on getting involved in the open-source community and creating value through curiosity and detours.Alex Merced: https://www.linkedin.com/in/alexmerced/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Malcolm Hawker?Malcolm Hawker is the Head of Data Strategy at Profisee | Data Management. With over 25 years of experience in data and analytics, Malcolm is a recognized thought leader and advisor in the field of Master Data Management (MDM) and Data Governance. He has helped some of the world's largest businesses to improve their enterprise information management strategies and is passionate about sharing practical and actionable insights on how to leverage data as a strategic asset. Malcolm hosts the CDO Matters podcast where he interviews senior data leaders from various industries and domains and aims to raise the awareness and value of MDM and Data Governance globally, empowering companies with the best practices and solutions to overcome their data quality challenges and achieve their business goals.💡 In this episode...... we discuss the challenges and strategies for Chief Data Officers in building valuable data-driven products, quantifying the value of data and analytics, and improving data quality. We also explores the relationship between CIOs and CDOs, challenges in implementing Master Data Management (MDM), and the importance of data governance policies. Malcom emphasizes the role of governance in driving business success and measuring the effectiveness of data-driven decisions, as well as the limitations of marketing attribution models and effective use of MDM in AI implementation.Malcolm Hawker: https://www.linkedin.com/in/malhawker/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Kyle Weller?Kyle is Head of Product at Onehouse.ai (http://Onehouse.ai) and ex-Azure Databricks. With over a decade of experience in managing teams of 2-60 people, Kyle is a proven product leader who specializes in data engineering and lake house architectures. He has scaled products for global enterprises to drive modernization of their data estates. Kyle also volunteered as an Entrepreneurship Coach and mentor for incarcerated and formerly incarcerated individuals. He has contributed to the open-source community by introducing the One Table project for interoperability and empowering positive change through collaboration.💡 In this episode...... we discuss Kyle's experience in data engineering and lake house architectures. He shares his insights on building data platforms and products, overcoming challenges and optimizing performance with One House, exploring diverse lake house table formats, empowering positive change through open source collaboration, scaling strategies, team alignment challenges at Databricks, and tips for beginners and advancing in the data engineering field.Kyle Weller: https://www.linkedin.com/in/lakehouse/Onehouse: https://www.onehouse.ai/Apache XTable™ (incubating): https://xtable.apache.org/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is James Serra?James Serra is a Technical Specialist at Microsoft with over 35 years of expertise in data warehousing and data management, making him a thought leader in the use and application of Big Data technologies. He is also well-versed in a number of data design concepts and methodologies, including normalized, relational, dimensional, and columnar approaches. Moreover, he has been a team leader and mentor for multiple large-scale, full life-cycle database implementations, from requirements and design through development, client acceptance and production. James is also a popular blogger, author, and speaker, having presented at PASS Summit, SQLBits, Enterprise Data World conference, Big Data Conference Europe, and dozens of SQL Saturdays. His specialties include business intelligence, data warehousing, big data, Hadoop, cloud, master data management, machine learning, solution architecture, ETL, data modeling, data migration, dashboarding, Kimball methodology, massively parallel processing, database architecture, data integration, and performance tuning among others.💡 In this episode...... we discuss his journey, the evolution of storing and reporting data, the use of AI technology for better business decisions and tips for staying up-to-date in the ever-changing world of technology and AI. We also delve into Microsoft's use of AI in providing insights on political advertisements.James Serra: https://www.linkedin.com/in/jamesserra/James's Book: https://www.amazon.com/Deciphering-Data-Architectures-Warehouse-Lakehouse/dp/1098150767Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Anna Skoulikari?Anna Skoulikari is a multi-faceted technical writer with expertise in git education and simplifying technical writing. She is also the author of a book titled 'Learning Git - A Hands-On and Visual Guide to the Basics of Git!' published by O'Reilly. Anna has a website and she also has a mailing list for those who want to receive updates on the things she does or creates. Anna is an excellent Git educator who prioritizes user experience and simplifying development goals. She has expertise in information architecture, API documentation, user guides, tutorials, and other markup languages. Anna emphasizes effective revision strategies, prioritizing user testing, and embracing imperfection and iteration in UX design in her work.💡 In this episode...... we discuss her expertise in technical writing and git education. She shares tips and strategies for simplifying technical writing and improving user experience in development goals. Anna emphasizes effective revision strategies and embracing imperfection and iteration in UX design. She encourages career pivoting and experimentation, offering sound advice for those in UX/UI/Technical Writing. Overall, Anna is an excellent Git educator with a multi-faceted and clear vision for writing.Kunal Agarwal: https://www.linkedin.com/in/kunalkunal/Learning Git: https://www.amazon.com/Learning-Git-Hands-Visual-Basics/dp/1098133919Anna's Website: https://www.annaskoulikari.com/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Kunal Agarwal?Kunal Agarwal is CEO of Unravel Data. He has a background in leading sales and implementation of Oracle products at Fortune 100 organizations. As CEO, he serves as both chief cheerleader and curator of Unravel's culture, while also keeping the team focused on customer needs. Unravel's Data Observability Platform provides comprehensive insights and tools to improve the efficiency and cost of data analytics projects for a variety of industries.💡 In this episode......we discuss about simplifying cloud data operations, Unravel's Data Observability Platform insights and tools to improve data analytics efficiency and cost for various industries. I was super curious about how they enhance metadata, how the systems works and it where what's possible with this technology gen ai.Kunal Agarwal: https://www.linkedin.com/in/kunalkunal/Unravel: https://www.unraveldata.com/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Angel Sáenz de Cenzano?Ángel Sáenz de Cenzano is LinkedIn's the Country Manager for Spain and Portugal. Ángel is a visionary leader with extensive experience in driving growth and propelling change mainly in the tech industry.💡 In this episode...... we discuss Ángel's plans and leadership strategies, aligning with executives, personal branding, and maximizing LinkedIn's potential for personal and professional branding. We also touch on managing technical teams and career tips for succeeding in the tech industry.Angel Sáenz de Cenzano: https://www.linkedin.com/in/angelsaenzdecenzano/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/ Hosted by Ausha. See ausha.co/privacy-policy for more information.