About this Show
Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms.
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field
Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3
Monday Oct 21, 2024
Monday Oct 21, 2024
Monday Oct 21, 2024
Can AI really out-compress PNG and FLAC? š¤ Or is it just another overhyped tech myth? In this episode of Data Science at Home, Frag dives deep into the wild claims that Large Language Models (LLMs) like Chinchilla 70B are beating traditional lossless compression algorithms. š§ š„
But before you toss out your FLAC collection, let's break down Shannon's Source Coding Theorem and why entropy sets the ultimate limit on lossless compression.
We explore: āļø How LLMs leverage probabilistic patterns for compression š Why compression efficiency doesnāt equal general intelligence š The practical (and ridiculous) challenges of using AI for compression š” Can AI actually BREAK Shannonās limitāor is it just an illusion?
If you love AI, algorithms, or just enjoy some good old myth-busting, this oneās for you. Don't forget to hit subscribe for more no-nonsense takes on AI, and join the conversation on Discord!
Letās decode the truth together. Join the discussion on the new Discord channel of the podcast https://discord.gg/4UNKGf3
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Don't forget to subscribe to our new YouTube channelĀ
https://www.youtube.com/@DataScienceatHome
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References
Have you met Shannon? https://datascienceathome.com/have-you-met-shannon-conversation-with-jimmy-soni-and-rob-goodman-about-one-of-the-greatest-minds-in-history/
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Saturday Oct 12, 2024
Saturday Oct 12, 2024
Saturday Oct 12, 2024
Are AI giants really building trustworthy systems? A groundbreaking transparency report by Stanford, MIT, and Princeton says no. In this episode, we expose the shocking lack of transparency in AI development and how it impacts bias, safety, and trust in the technology. Weāll break down Gary Marcusās demands for more openness and what consumers should know about the AI products shaping their lives.
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Check our new YouTube channel https://www.youtube.com/@DataScienceatHome and Subscribe!Ā
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Cool links
https://mitpress.mit.edu/9780262551069/taming-silicon-valley/
http://garymarcus.com/index.html
Tuesday Oct 08, 2024
Tuesday Oct 08, 2024
We're revisiting one of our most popular episodes from last year, where renowned financial expert Chris Skinner explores the future of money. In this fascinating discussion, Skinner dives deep into cryptocurrencies, digital currencies, AI, and even the metaverse. He touches on government regulations, the role of tech in finance, and what these innovations mean for humanity.
Now, one year later, we encourage you to listen again and reflectāhow much has changed? Are Chris Skinner's predictions still holding up, or has the financial landscape evolved in unexpected ways? Tune in and find out!
Tuesday Oct 01, 2024
Tuesday Oct 01, 2024
In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary!
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Sponsors
Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
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š Links Mentioned in the Episode:
Generative AI for time series: TimeGPT Documentation
Lag-llama: GitHub (Note: The benchmark results on this one are pretty horrible)
Open source LLM: Olmo Blog Post
Quantization for LLM: Hugging Face Guide
And finally, don't miss Konrad's Substack for more nerdy goodness! (If you're there already, be there again! š)
Monday Sep 30, 2024
Monday Sep 30, 2024
Monday Sep 30, 2024
In this episode we delve into the dynamic realm of game development and the transformative role of artificial intelligence (AI). Join Frag, Jim and Mike as they explore the current landscape of game development processes, from initial creative ideation to the integration of AI-driven solutions. With Mike's expertise as a software executive and avid game developer, we uncover the potential of AI to revolutionize game design, streamline development cycles, and enhance player experiences. Discover insights into AI's applications in asset creation, code assistance, and even gameplay itself, as we discuss real-world implementations and cutting-edge research.
From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment!
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Sponsors
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
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References
https://mikeyoung44.itch.io/spacefreighter - Itch.io link to play the game
https://discord.gg/yaXgYZ5Ymn - Discord server for the game
https://aimodels.substack.com/ - Mikeās newsletter (links to website too)
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Wednesday Sep 25, 2024
Wednesday Sep 25, 2024
Wednesday Sep 25, 2024
In this episode, we dive into the wild world of Large Language Models (LLMs) and their knack for⦠making things up. Can they really generalize without throwing in some fictional facts? Or is hallucination just part of their charm? Letās separate the genius from the guesswork in this insightful breakdown of AIās creativity problem.
TL;DR;
LLM Generalisation without hallucinations. Is that possible?
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References
https://github.com/lamini-ai/Lamini-Memory-Tuning/blob/main/research-paper.pdf
https://www.lamini.ai/blog/lamini-memory-tuning
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Monday Sep 02, 2024
Monday Sep 02, 2024
Monday Sep 02, 2024
The hype around Generative AI is real, but is the bubble about to burst? Join me as we dissect the recent downturn in AI investments and what it means for the tech giants like OpenAI and Nvidia. Could this be the end of the AI gold rush, or just a bump in the road?
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References
http://garymarcus.com/index.html
https://garymarcus.substack.com/p/why-the-collapse-of-the-generative?r=8tdk6&utm_source=substack&utm_medium=email
https://www.theinformation.com/articles/openai-makes-a-60-million-hardware-startup-bet?utm_source=substack&utm_medium=email
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Thursday Aug 08, 2024
Thursday Aug 08, 2024
Thursday Aug 08, 2024
In this insightful episode, we dive deep into the pressing issue of data privacy, where 86% of U.S. consumers express growing concerns and 40% don't trust companies to handle their data ethically. Join us as we chat with the Vice President of Engineering at MetaRouter, a cutting-edge platform enabling enterprises to regain control over their customer data. We explore how MetaRouter empowers businesses to manage data in a 1st-party context, ensuring ethical, compliant handling while navigating the complexities of privacy regulations.
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Sponsors
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months
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References
https://www.metarouter.io/post/mastering-data-governance-why-governance-at-the-point-of-collection-is-a-must-haveĀ
https://hubs.ly/Q02HwJly0Ā
https://www.metarouter.io/post/why-privacy-sandbox-is-a-good-paradigm-shift-for-consumersĀ
Monday Jul 22, 2024
Monday Jul 22, 2024
Monday Jul 22, 2024
Join us as David Marom, Head of Panoply Business, explores the benefits of all-in-one data platforms. Learn how tech stack consolidation boosts efficiency, improves data accuracy, and cuts costs. David shares insights on overcoming common challenges, enhancing data governance, and success stories from organizations thriving with Panoply.
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Sponsors
Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months
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References
Connect and analyze ALL of your data https://panoply.io/
https://blog.panoply.io/raw-data-to-dashboards-in-just-10-steps
https://blog.panoply.io/understanding-etl-extract-transform-and-load-data-to-boost-your-business-intelligence
Blog: The Transformative Power of an All-in-One Data Platform
Whitepaper: Eradicating Platform Inefficiencies
Saturday Jun 22, 2024
Saturday Jun 22, 2024
Saturday Jun 22, 2024
Join us in this exciting episode of the Data Science at Home podcast. It's all about GPUs. We'll take you on a journey through the inner workings of these powerful processors, explaining how they handle complex computations and drive everything from gaming graphics to scientific simulations. Whether you're a budding programmer or a tech enthusiast, understanding GPUs is key to unlocking new levels of performance and efficiency in your projects. Tune in and get ready to turbocharge your tech knowledge!
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Sponsors
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
Data Science at Home is the top-10 best data science podcasts on Apple Podcasts, Spotify, Stitcher, Podbean and many more aggregators.
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Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms.
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field