AI Stories

Neil Leiser
AI Stories

Artificial Intelligence, Machine Learning, Data Science and Deep Learning are completely changing the world we live in today. Companies around the world start to make sensible use of big data to influence business decisions and create our future. From video recommendations to autonomous driving, from stock prediction to weather forecasting, the AI revolution is everywhere. The AI stories podcast brings together some of the best Data Scientists, Machine Learning Engineers, Business leaders and researchers that are at the front of this revolution. They are here to talk about their career, how they arrive where they are, give advice and share their vision. They explain how they make use of AI in their daily routine, how they use algorithms to solve business problems and make the world a better place. They are here to share their stories: their AI stories. Hosted by Neil Leiser, Data Scientist at Iwoca. Follow Neil to learn more about career, Data Science, AI and Machine Learning. Linkedin: https://www.linkedin.com/in/leiserneil/ Twitter: https://twitter.com/LeiserNeil

  1. TimeGPT, Nixtla & Forecasting with Max Mergenthaler #53

    HACE 6 DÍAS

    TimeGPT, Nixtla & Forecasting with Max Mergenthaler #53

    Our guest today is Max Mergenthaler, Co-Founder and CEO of Nixtla: one of the most popular libraries for time series forecasting. In this conversation, Max first explains how he got into AI and the lessons he learned from building a couple of tech startups. We then dive into Nixtla and forecasting. Max explains how he founded Nixtla and the different libraries available to build stats, ml and deep learning forecasting algorithms. We also tallk about TimeGPT, Nixtla's closed-source foundation ...

    59 min
  2. Build LLMs From Scratch with Sebastian Raschka #52

    21 NOV

    Build LLMs From Scratch with Sebastian Raschka #52

    Our guest today is Sebastian Raschka, Senior Staff Research Engineer at Lightning AI and bestselling book author.In our conversation, we first talk about Sebastian's role at Lightning AI and what the platform provides. We also dive into two great open source libraries that they've built to train, finetune, deploy and scale LLMs.: pytorch lightning and litgpt. In the second part of our conversation, we dig into Sebastian's new book: "Build and LLM from Scratch". We discuss the key steps ...

    1 h y 6 min
  3. Code Generation & Synthetic Data With Loubna Ben Allal #51

    7 NOV

    Code Generation & Synthetic Data With Loubna Ben Allal #51

    Our guest today is Loubna Ben Allal, Machine Learning Engineer at Hugging Face 🤗 . In our conversation, Loubna first explains how she built two impressive code generation models: StarCoder and StarCoder2. We dig into the importance of data when training large models and what can be done on the data side to improve LLMs performance. We then dive into synthetic data generation and discuss the pros and cons. Loubna explains how she built Cosmopedia, a dataset fully synthetic generated using Mixt...

    47 min
  4. He Built an AI Football Coach Assistant & Google Maps Algorithm with Petar Veličković #50

    22 OCT

    He Built an AI Football Coach Assistant & Google Maps Algorithm with Petar Veličković #50

    Our guest today is Petar Veličković, Staff Research Scientist at Google DeepMind and Affiliated Lecturer at University of Cambridge.In our conversation, we first dive into how Petar got into Graph ML and discuss his most cited paper: Graph Attention Networks. We then dig into DeepMind where Petar shares tips and advice on how to get into this competitive company and explains the difference between research scientists and research engineering roles. We finally talk about applied work that Peta...

    1 h y 7 min
  5. Fine-Tuning LLMs, Hugging Face & Open Source with Lewis Tunstall #49

    20 JUN

    Fine-Tuning LLMs, Hugging Face & Open Source with Lewis Tunstall #49

    Our guest today is Lewis Tunstall, LLM Engineer and researcher at Hugging Face and book author of "Natural Language Processing with Transformers". In our conversation, we dive into topological machine learning and talk about giotto-tda, a high performance topological ml Python library that Lewis worked on. We then dive into LLMs and Transformers. We discuss the pros and cons of open source vs closed source LLMs and explain the differences between encoder and decoder transformer architectures....

    1 h y 21 min
  6. MLOps Engineering & Coding Best Practices with Maria Vechtomova #48

    30 MAY

    MLOps Engineering & Coding Best Practices with Maria Vechtomova #48

    Our guest today is Maria Vecthomova, ML Engineering Manager at Ahold Delhaize and Co-Founder of Marvelous MLOps.In our conversation, we first talk about code best practices for Data Scientists. We then dive into MLOps, discuss the main components required to deploy a model in production and get an overview of one of Maria's project where she built and deployed a fraud detection algorithm. We finally talk about content creation, career advice and the differences between an ML and an MLOps engi...

    1 h
  7. OpenAI, AGI, LLMs Eval & Applied ML with Reah Miyara #47

    16 MAY

    OpenAI, AGI, LLMs Eval & Applied ML with Reah Miyara #47

    Our guest today is Reah Miyara. Reah is currently working on LLMs evaluation at OpenAI and previously worked at Google and IBM. In our conversation, Reah shares his experience working as a product lead for Google's graph-based machine learning portfolio. He then explains how he joined OpenAI and his role there. We finally talk about LLMs evaluation, AGI, LLMs safety and the future of the field. If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube ch...

    1 h y 4 min
  8. Google, Gemini, Cloud & LLMOps with Erwin Huizenga #46

    25 ABR

    Google, Gemini, Cloud & LLMOps with Erwin Huizenga #46

    Our guest today is Erwin Huizenga, Machine Learning Lead at Google and expert in Applied AI and LLMOps. In our conversation, Erwin first discusses how he got into the field and his previous experiences at SAS and IBM. We then talk about his work at Google: from the early days of cloud computing when he joined the company to his current work on Gemini. We finally dive into the world of LLMOps and share insights on how to evaluate LLMs, how to monitor their performances and how to deploy them. ...

    1 h y 4 min
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Artificial Intelligence, Machine Learning, Data Science and Deep Learning are completely changing the world we live in today. Companies around the world start to make sensible use of big data to influence business decisions and create our future. From video recommendations to autonomous driving, from stock prediction to weather forecasting, the AI revolution is everywhere. The AI stories podcast brings together some of the best Data Scientists, Machine Learning Engineers, Business leaders and researchers that are at the front of this revolution. They are here to talk about their career, how they arrive where they are, give advice and share their vision. They explain how they make use of AI in their daily routine, how they use algorithms to solve business problems and make the world a better place. They are here to share their stories: their AI stories. Hosted by Neil Leiser, Data Scientist at Iwoca. Follow Neil to learn more about career, Data Science, AI and Machine Learning. Linkedin: https://www.linkedin.com/in/leiserneil/ Twitter: https://twitter.com/LeiserNeil

Información

  • Creador
    Neil Leiser
  • Años de actividad
    2021 - 2024
  • Episodios
    53
  • Clasificación
    Apto
  • Copyright
    © 2024 AI Stories
  • Mostrar sitio web
    AI Stories

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