Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs)
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Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs)
1:06:50
DeepMind Just Dropped Gemma 270M... And Here’s Why It Matters
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DeepMind Just Dropped Gemma 270M... And Here’s Why It Matters
45:41
AI-Powered Decision Making Under Uncertainty w/ Allen Downey & Chris Fonnesbeck
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AI-Powered Decision Making Under Uncertainty w/ Allen Downey & Chris Fonnesbeck
1:57:51
Decentralized AI: Data, Governance, & Personalization at the Edge (with Katharine Jarmul & Joe Reis)
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Decentralized AI: Data, Governance, & Personalization at the Edge (with Katharine Jarmul & Joe Reis)
1:17:59
Scaling AI: A Practitioner’s Guide to Distributed Training & Inference w/ Zach Mueller
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Scaling AI: A Practitioner’s Guide to Distributed Training & Inference w/ Zach Mueller
56:44
The Map is Not the Territory: Bryan Bischof on RAG Systems, Representations, and Retrieval
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The Map is Not the Territory: Bryan Bischof on RAG Systems, Representations, and Retrieval
32:58
Human-seeded Evals: Scaling Judgement with LLMs (with Samuel Colvin)
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Human-seeded Evals: Scaling Judgement with LLMs (with Samuel Colvin)
1:25:56
Why Most LLM Products Break at Retrieval (And How to Fix Them)
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Why Most LLM Products Break at Retrieval (And How to Fix Them)
28:38
From Images to Agents: Building and Evaluating Multimodal AI Workflows
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From Images to Agents: Building and Evaluating Multimodal AI Workflows
1:27:20
Why We Built an MCP Server and What Broke First -- With Philip Carter, Honeycomb
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Why We Built an MCP Server and What Broke First -- With Philip Carter, Honeycomb
47:42
A Field Guide to Rapidly Improving AI Products -- With Hamel Husain
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A Field Guide to Rapidly Improving AI Products -- With Hamel Husain
27:43
Why Data and AI Still Break at Scalewith Akshay Agrawal (marimo, ex-Google Brain, Netflix, Stanford)
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Why Data and AI Still Break at Scalewith Akshay Agrawal (marimo, ex-Google Brain, Netflix, Stanford)
1:34:01
How To Benchmark AGI -- With Greg Kamradt, President of ARC-AGI
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How To Benchmark AGI -- With Greg Kamradt, President of ARC-AGI
1:04:26
Building AI Agents with Gemma 3
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Building AI Agents with Gemma 3
2:05:30
When Vibe Coding Works: Greg Built a Chrome Extension to Query GitHub CSVs with SQL
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When Vibe Coding Works: Greg Built a Chrome Extension to Query GitHub CSVs with SQL
8:20
Vibe Coding the JFK Docs with Claude, OCR, and Next.js 🕵️‍♂️
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Vibe Coding the JFK Docs with Claude, OCR, and Next.js 🕵️‍♂️
41:32
How to Evaluate LLM Apps Before You Launch
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How to Evaluate LLM Apps Before You Launch
32:39
🔥 The Great Pacific Garbage Patch of Code Slop with Joe Reis 🔥
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🔥 The Great Pacific Garbage Patch of Code Slop with Joe Reis 🔥
1:23:39
Building the Future: How AI is Transforming Who Can Create Software
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Building the Future: How AI is Transforming Who Can Create Software
2:00:39
Building AI Apps for Real-World Use Cases: From Basics to Production
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Building AI Apps for Real-World Use Cases: From Basics to Production
2:27:11
Look at Your Data: Debugging, Evaluating, and Iterating on Generative AI Systems
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Look at Your Data: Debugging, Evaluating, and Iterating on Generative AI Systems
1:27:05
The Future of Developer Tools: Open-Source AI Code Assistants and Modular AI Systems
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The Future of Developer Tools: Open-Source AI Code Assistants and Modular AI Systems
1:37:06
BUILDING RELIABLE LLM AGENTS: WHAT WORKS AND WHAT DOESN’T
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BUILDING RELIABLE LLM AGENTS: WHAT WORKS AND WHAT DOESN’T
1:11:11
Debugging LLMs? Start with Your Data – Hamel Husain
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Debugging LLMs? Start with Your Data – Hamel Husain
4:50
What Every LLM Developer Needs to Know About GPUs with Charles Frye
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What Every LLM Developer Needs to Know About GPUs with Charles Frye
1:51:21
From Models to Products: Bridging Research and Practice in Generative AI at Google Labs
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From Models to Products: Bridging Research and Practice in Generative AI at Google Labs
1:39:13
The Art of Freelance AI Consulting and Products: Data, Dollars, and Deliverables
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The Art of Freelance AI Consulting and Products: Data, Dollars, and Deliverables
1:30:13
Prompt Engineering, Security in Generative AI, and the Future of AI Research
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Prompt Engineering, Security in Generative AI, and the Future of AI Research
1:58:16
Open Science at NASA: Measuring Impact and Exploring AI Applications
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Open Science at NASA: Measuring Impact and Exploring AI Applications
58:59
The NLP and AI Revolution with spaCy Creators Ines Montani and Matthew Honnibal
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The NLP and AI Revolution with spaCy Creators Ines Montani and Matthew Honnibal
2:00:26
Creating Physical Products with Generative AI: A Demo with Dan Becker (Build Great AI)
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Creating Physical Products with Generative AI: A Demo with Dan Becker (Build Great AI)
17:38
What We Learned Teaching LLMs to 1,000s of Data Scientists
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What We Learned Teaching LLMs to 1,000s of Data Scientists
1:39:04
Validating the Validators: GenAI and Humans-in-the-Loop
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Validating the Validators: GenAI and Humans-in-the-Loop
1:20:09
Data Science Tools Reimagined: From arXiv Search to Scikit-learn | Vincent Warmerdam
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Data Science Tools Reimagined: From arXiv Search to Scikit-learn | Vincent Warmerdam
22:55
Rethinking Data Science, Machine Learning, and AI
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Rethinking Data Science, Machine Learning, and AI
1:47:47
Lessons from a Year of Building with LLMs
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Lessons from a Year of Building with LLMs
2:54:36
Rasa CALM Demo: Conversational AI with LLMs | Alan Nichol
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Rasa CALM Demo: Conversational AI with LLMs | Alan Nichol
12:44
Good Riddance to Supervised Learning (and hello, in-context learning!)
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Good Riddance to Supervised Learning (and hello, in-context learning!)
1:12:14
How to Build Terrible AI Systems with Jason Liu
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How to Build Terrible AI Systems with Jason Liu
1:42:30
The skills you need to work with LLMs
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The skills you need to work with LLMs
4:25
The hardware you need to work with LLMs
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The hardware you need to work with LLMs
8:44
Prompt Engineering vs RAG vs Fine-Tuning
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Prompt Engineering vs RAG vs Fine-Tuning
3:23
Reinforcement Learning with Human Feedback 101
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Reinforcement Learning with Human Feedback 101
5:02
LLM Research Techniques: LoRA, DPO, Mixture of Experts, and more
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LLM Research Techniques: LoRA, DPO, Mixture of Experts, and more
7:00
The Full LLM Lifecycle
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The Full LLM Lifecycle
6:35
Fine-Tuning GPT-2 to create a spam classifier in 30 seconds!
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Fine-Tuning GPT-2 to create a spam classifier in 30 seconds!
28:26
Developing and Training LLMs From Scratch with Sebastian Raschka
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Developing and Training LLMs From Scratch with Sebastian Raschka
2:03:43
Vanishing Gradients Live Stream
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Vanishing Gradients Live Stream
Escaping Generative AI Walled Gardens with Omoju Miller
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Escaping Generative AI Walled Gardens with Omoju Miller
1:24:56
LLM and GenAI Accessibility with Johno Whitaker
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LLM and GenAI Accessibility with Johno Whitaker
1:38:15
Statistical and Algorithmic Thinking in the AI Age
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Statistical and Algorithmic Thinking in the AI Age
1:25:46
Jeremy Howard called it: OpenAI is not going to make it 5 #shorts #openai #podcast
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Jeremy Howard called it: OpenAI is not going to make it 5 #shorts #openai #podcast
0:51
Jeremy Howard called it: OpenAI is not going to make it 4 #shorts #openai #podcast
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Jeremy Howard called it: OpenAI is not going to make it 4 #shorts #openai #podcast
0:57
Jeremy Howard called it: OpenAI is not going to make it 3 #shorts #openai #podcast
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Jeremy Howard called it: OpenAI is not going to make it 3 #shorts #openai #podcast
0:48
Jeremy Howard called it: OpenAI is not going to make it 2 #shorts #openai #podcast
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Jeremy Howard called it: OpenAI is not going to make it 2 #shorts #openai #podcast
0:55
LLMs, OpenAI Dev Day, and the Existential Crisis for Machine Learning Engineering
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LLMs, OpenAI Dev Day, and the Existential Crisis for Machine Learning Engineering
1:33:21
Data and DevOps Tools for Evaluating and Productionizing LLMs
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Data and DevOps Tools for Evaluating and Productionizing LLMs
1:04:41
Deploying LLMs in Production: Lessons Learned
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Deploying LLMs in Production: Lessons Learned
1:32:51
Data Science: Past, Present, and Future
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Data Science: Past, Present, and Future
1:29:41
What exactly is end-to-end data science?
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What exactly is end-to-end data science?
7:31
Data science failure modes
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Data science failure modes
4:56
Measuring success in data science
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Measuring success in data science
3:59
The importance of rapid prototyping in data science and R Shiny
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The importance of rapid prototyping in data science and R Shiny
11:58
The biggest value of data science (hint: it's NOT ML or AI)
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The biggest value of data science (hint: it's NOT ML or AI)
4:43
Privacy and Security in Data Science and Machine Learning
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Privacy and Security in Data Science and Machine Learning
1:33:31
Research Data Science in Biotech
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Research Data Science in Biotech
1:25:16
End-to-End Data Science
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End-to-End Data Science
1:28:51
Data Science and Decision Making Under Uncertainty
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Data Science and Decision Making Under Uncertainty
2:19:16