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846: Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar
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845: Tech is Our New Religion And It Needs Reformation, with Greg Epstein
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844: In Case You Missed It in November 2024
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843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi
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842: Flexible AI Deployments Are Critical, with Chris Bennett and Joseph Balsamo
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841: Andrew Ng on AI Vision, Agents and Business Value
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840: Delicate Viticultural Robotics
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839: Double Your Data Salary in 11 Months, with Jess Ramos
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838: Consciousness and Machines, with Jennifer K. Hill
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837: Career Success in the AI Era, with Deepali Vyas
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836: How to Become Happier, with Dr. Nat Ware
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835: AI Systems as Productivity Engines, with You.com’s Bryan McCann
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834: In Case You Missed It in October 2024
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833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson
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832: The Anthropic CEO’s Techno-Utopia
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831: PyTorch Lightning, Lit-Serve and Lightning Studios, with Dr. Luca Antiga
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830: The “A.I.” Nobel Prizes (in Physics and Chemistry??)
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829: Neuroscience Fueled by ML, with Prof. Bradley Voytek
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828: Are “Citizen Data Scientists” A Myth? With Keith McCormick
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827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink
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826: In Case You Missed It in September 2024
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825: Data Contracts: The Key to Data Quality, with Chad Sanderson
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824: Llama 3.2: Open-Source Edge and Multimodal LLMs
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823: Virtual Humans and AI Clones, with Natalie Monbiot
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822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents
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821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman
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820: OpenAI's o1 "Strawberry" Models
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819: PyTorch: From Zero to Hero, with Luka Anicin
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818: In Case You Missed It in August 2024
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817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
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816: Explaining AGI to a 94-Year-Old
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815: Polars: Faster DataFrame Ops, with Marco Gorelli
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814: Summer Reflections
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813: Solving Business Problems Optimally with Data, with Jerry Yurchisin
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812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery
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811: Scaling Data Science Teams Effectively, with Nick Elprin
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810: The Five Levels of Self-Driving Cars
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809: Agentic AI, with Shingai Manjengwa
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808: In Case You Missed It in July 2024
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807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme
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806: Llama 3.1 405B: The First Open-Source Frontier LLM
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805: How to Be a Supercommunicator, with Charles Duhigg
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804: AI x Solar Power = Abundant Energy
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803: How to Thrive in Your (Data Science) Career, with Daliana Liu
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802: In Case You Missed It in June 2024
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801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard
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800: A Transformative Century of Technological Progress, with Annie P.
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799: AGI Could Be Near: Dystopian and Utopian Implications, with Dr. Andrey Kurenkov
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798: Claude 3.5 Sonnet: Frontier Capabilities & Slick New "Artifacts" UI
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797: Deep Learning Classics and Trends, with Dr. Rosanne Liu
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796: Earth's Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher
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795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph
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794: Exciting (and Frightening!) Trends in Open-Source AI
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793: Bayesian Methods and Applications, with Alexandre Andorra
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792: In Case You Missed It in May 2024
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791: Reinforcement Learning from Human Feedback (RLHF), with Dr. Nathan Lambert
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790: Open-Source Libraries for Data Science at the New York R Conference
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789: ML for Wind-Powered Energy Generation, with Dr. Jason Yosinski
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788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks
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787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
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786: The Six Keys to Data Scientists' Success, with Kirill Eremenko
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785: Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano
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784: Aligning Large Language Models, with Sinan Ozdemir
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783: Generative A.I. for Solar Power Installation, with Navdeep Martin
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782: In Case You Missed It in April 2024
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781: Ensuring Successful Enterprise AI Deployments, with Sol Rashidi
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780: How to Become a Data Scientist, with Dr. Adam Ross Nelson
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779: The Tidyverse of Essential R Libraries and their Python Analogues, with Dr. Hadley Wickham
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778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute
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777: Generative AI in Practice, with Bernard Marr
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776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime
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775: What will humans do when machines are vastly more intelligent? With Aleksa Gordić
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774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities
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773: Deep Reinforcement Learning for Maximizing Profits, with Prof. Barrett Thomas
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772: In Case You Missed It in March 2024
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771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
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770: The Neuroscientific Guide to Confidence
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769: Generative AI for Medicine, with Prof. Zack Lipton
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768: Is Claude 3 Better than GPT-4?
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767: Open-Source LLM Libraries and Techniques, with Dr. Sebastian Raschka
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766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution
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765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant
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764: The Top 10 Episodes of 2023
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763: The Best A.I. Startup Opportunities, with venture capitalist Rudina Seseri
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762: Gemini 1.5 Pro, the Million-Token-Context LLM
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761: Gemini Ultra: How to Release an A.I. Product for Billions of Users, with Google's Lisa Cohen
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760: Humans Love A.I.-Crafted Beer
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759: Full Encoder-Decoder Transformers Fully Explained, with Kirill Eremenko
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758: The Mamba Architecture: Superior to Transformers in LLMs
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757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic
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756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds
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755: Brewing Beer with A.I., with Beau Warren
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754: A Code-Specialized LLM Will Realize AGI, with Jason Warner
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753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson
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752: AI is Disadvantaging Job Applicants, But You Can Fight Back
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751: How to Found and Fund Your Own A.I. Startup, with Dr. Rasmus Rothe
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750: How A.I. is Transforming Science
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749: Data Science for Clean Energy, with Emily Pastewka
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748: The Five Levels of AGI
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747: Technical Intro to Transformers and LLMs, with Kirill Eremenko
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