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1 #47: The power of AI in UX research and design with Jason Bowman, The Office of Experience 21:35
Automating Software Upgrades: How to Combine AI and Expert Developers
Manage episode 411928992 series 2570898
Steve Pike is a co-founder of Infield.ai, a startup building tools to help companies upgrade and maintain open source software dependencies, ensuring they stay up-to-date with the latest releases, features, and security fixes.
Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/
Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon • RSS.
Detailed show notes can be found on The Data Exchange web site.
289 פרקים
Manage episode 411928992 series 2570898
Steve Pike is a co-founder of Infield.ai, a startup building tools to help companies upgrade and maintain open source software dependencies, ensuring they stay up-to-date with the latest releases, features, and security fixes.
Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/
Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon • RSS.
Detailed show notes can be found on The Data Exchange web site.
289 פרקים
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1 Unlocking AI Superpowers in Your Terminal 44:59

1 From Vibe Coding to Autonomous Agents 51:16

1 How a Public-Benefit Startup Plans to Make Open Source the Default for Serious AI 48:45

1 The Highly Uncertain Future of OpenAI’s Dominance 54:07

1 Beyond Guardrails: Defending LLMs Against Sophisticated Attacks 44:31

1 Navigating the Generative AI Maze in Business 49:35

1 The Practical Realities of AI Development 37:30

1 Beyond the Demo: Building AI Systems That Actually Work 27:36

1 Vibe Coding and the Rise of AI Agents: The Future of Software Development is Here 36:35

1 2025 Artificial Intelligence Index 51:44

1 How AI is Transforming Talent Development 28:30

1 Prompts as Functions: The BAML Revolution in AI Engineering 38:49

1 Building the Operating System for AI Agents 45:42

1 Bridging the AI Agent Prototype-to-Production Chasm 38:40

1 The Evolution of Reinforcement Fine-Tuning in AI 45:45

1 Beyond GPUs: Cerebras’ Wafer-Scale Engine for Lightning-Fast AI Inference 39:26

1 The Future of AI: Regulation, Foundation Models & User Experience 47:42

1 The AI Agent Rundown: 10 Things to Know Now 24:01

1 Why ‘Structure’ Is All You Need: A Deep Dive into Next-Gen AI Retrieval 32:27

1 Why Legal Hurdles Are the Biggest Barrier to AI Adoption 38:57

1 Unlocking Spreadsheet Intelligence with AI 47:54

1 Monthly Roundup: Deregulation, Hardware, and Inference Scaling 45:41

1 What AI Teams Need to Know for 2025 32:26

1 AI Unlocked: The Data Bottleneck 25:11

1 The Data-Centric Shift in AI: Challenges, Opportunities, and Tools 27:43

1 Monthly Roundup: Semiconductors, Frontier Models, and Practical Innovations 48:51

1 Breaking the Cloud Barrier: How DBOS Transforms Application Development 36:02

1 The Essential Guide to AI Guardrails 47:27

1 Beyond ETL: How Snow Leopard Connects AI, Agents, and Live Data 43:33

1 2024 Generative AI in Healthcare Survey Results 37:35

1 Monthly Roundup: BAML, Tencent’s Hunyuan Model, AI & Kubernetes, and the Future of Voice AI 49:22

1 Building the Future of Finance: Inside AI Valuation Bots 37:45

1 Unleashing the Power of BAML in LLM Applications 45:45

1 Cracking the Code: How Enterprises Are Adopting Generative AI 30:09

1 Monthly Roundup: Ray Compiled Graphs, Llama 3.2 and Multimodal AI, and Structured Data for RAG 52:57

1 Reimagining Code: The AI-Driven Transformation of Programming and Data Analytics 41:05

1 The Security Debate: How Safe is Open-Source Software? 51:06

1 Generative AI in Voice Technology 59:41

1 Building An Experiment Tracker for Foundation Model Training 37:56

1 Monthly Roundup: AI Regulations, GenAI for Analysts, Inference Services, and Military Applications 45:49

1 Unlocking the Power of LLMs with Data Prep Kit 38:15

1 Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations 24:37

1 Bridging the Hardware-Software Divide in AI 48:27

1 Monthly Roundup: The Economic Realities of Large Language Models 43:31

1 From Hype to Reality: The Current State of Enterprise Generative AI Adoption 44:53

1 DBRX and the Future of Open LLMs 45:45

1 Monthly Roundup: New LLMs, GTC 2024, Constraint-Driven Innovation, Model Safety, and GraphRAG 37:01

1 Automating Software Upgrades: How to Combine AI and Expert Developers 36:27

1 Generative AI in the Industrial Sphere 44:04

1 The Intersection of LLMs, Knowledge Graphs, and Query Generation 57:45

1 Unlocking the Potential of Private Data Collaboration 36:14

1 Frontiers of AI: From Text-to-Video Models to Knowledge Graphs 33:35

1 Adaptive, Specialized, and Accessible: Where AI Systems Are Heading Next 43:01


1 The AI Infrastructure Revolution: From Cloud Computing to Data Center Design 42:44

1 AI in Depth: Transforming Transportation, Enterprise, and Policy 41:12

1 Software Meets Hardware: Enabling AMD for Large Language Models 38:37

1 Incentives are Superpowers: Mastering Motivation in the AI Era 31:09

1 Synthetic Futures: The Convergence of Biology and AI 32:22

1 AI Co-Pilots in Action: Transforming Function Calling in Cybersecurity 45:00

1 Automating Unstructured Data Extraction with LLMs 35:29

1 Generative AI in Context: Hybrid Intelligence and Responsible Development 36:04

1 Monthly Roundup: Navigating the Peaks and Valleys of Generative AI Technology 46:18

1 From Preparation to Recovery: Mastering AI Incident Response 34:38

1 Unlocking the Power of Unstructured Data 49:32

1 Postgres: The Swiss Army Knife of Databases 50:50


1 Monthly Roundup: SB 1047, GraphRAG, and AI Avatars in the Workplace 36:59

1 Fine-tuning and Preference Alignment in a Single Streamlined Process 35:32

1 TinyML, Sensor-Driven AI, and Advances in Large Language Models 25:23

1 Machine Unlearning: Techniques, Challenges, and Future Directions 49:36

1 Unleashing the Power of AI Agents 38:47

1 Monthly Roundup: Llama 3, Agents, Evaluation Metrics, Cyc, TikTok, and more 41:58

1 LLMs for Data Access: Unlocking Insights with Text-to-SQL 43:22

1 2024 Artificial Intelligence Index 53:50

1 Leveling Up: Tools and Techniques to Make AI Development More Accessible 45:16


1 Democratizing Wealth Management With AI 47:27

1 Knowledge Graphs: Contextualizing Enterprise Data for More Accurate LLMs 41:36

1 TimeGPT: Machine Learning for Time Series, Made Accessible 44:07

1 Best Practices for Building LLM-Backed Applications 53:50

1 The Evolution of Crypto, Blockchain, and Web3 49:15

1 Open Source Data and AI: Past, Present, Future 43:07

1 Orchestration for LLM and RAG applications 49:58

1 Reflections from the First AI Conference in San Francisco 49:28

1 Kùzu: A simple, extremely fast, and embeddable graph database 51:09

1 Navigating the Nuances of Retrieval Augmented Generation 42:40

1 The Rise of Generative AI-Powered Social Media Manipulation 40:03

1 Versioning and MLOps for Generative AI 38:35

1 Navigating the Generative AI Landscape 40:31

1 Trends in Data Management: From Source to BI and Generative AI 48:04

1 AI and the Future of Speech Technologies 36:52

1 The Future of Cybersecurity: Generative AI and its Implications 49:07

1 Ivy: The One-Stop Interface for AI Model Deployment and Development 38:59

1 Navigating the Risk Landscape: A Deep Dive into Generative AI 42:25

1 Software Development with AI and LLMs 49:09

1 A Lightweight SDK for Integrating AI Models and Plugins 45:55

1 Using LLMs to Build AI Co-pilots for Knowledge Workers 48:21


1 The Future of Graph Databases 1:01:24

1 Delivering Safe and Effective LLM and NLP Applications 37:56

1 Using Data and AI to Democratize Entity Resolution and Master Data Management 50:39

1 An Open Source Data Framework for LLMs 49:24

1 Redefining AI Infrastructure: Deploying and Developing with a Next-Generation Developer Platform 50:19

1 The Rise of Custom Foundation Models 39:20

1 The Future of Vector Databases and the Rise of Instant Updates 48:17

1 LLMs Are the Key to Unlocking the Next Generation of Search 44:58

1 Building and Deploying Foundation Models for Enterprises 34:09

1 Building Robust AI Infrastructure for Critical Solutions 31:40

1 Machine Learning for High-Risk Applications 46:25

1 Boosting Perception With Synthetic Data 35:34

1 Revolutionizing B2B: Unleashing the Power of AI and Data 43:08




1 Uncovering and Highlighting AI Trends 49:02


1 Blazing fast bulk data transfers between any cloud 31:29

1 Exhaustion of High-Quality Data Could Slow Down AI Progress in Coming Decades 33:09

1 Generating high-fidelity and privacy-preserving synthetic data 35:47

1 How technology is disrupting the venture capital industry 36:19

1 Running Machine Learning Workloads On Any Cloud 37:11

1 2023 Trends in Data Engineering and Infrastructure 45:47

1 Preparing for the Implementation of the EU AI Act and Other AI Regulations 36:38

1 The Open Source Stack Unleashing a Game-Changing AI Hardware Shift 41:55



1 2023 Opportunities and Trends: Data, Machine Learning, and AI 1:05:31


1 Data Science at Shopify and Stitch Fix 37:25

1 Building a data management system for unstructured data 36:32

1 A Cloud Native Vector Database Management System 48:50

1 What’s Next for Machine Learning in Time Series 38:08

1 Efficient Methods for Natural Language Processing 45:40



1 Data Infrastructure for Computer Vision 36:00


1 Scalable, end-to-end machine learning, for everyone 46:42

1 Orchestration and Pipelines for Data Scientists 44:15




1 Orchestrating Machine Learning Applications 47:11


1 Machine Learning Model Observability 39:32


1 Practical Machine Learning and Deep learning 48:27

1 Machine Learning for Optimization 26:25

1 Efficient Scaling of Language Models 27:06

1 Building a premier industrial AI research and product group 37:50

1 An open source, production grade vector search engine 35:14

1 A comprehensive suite of open source tools for time series modeling 35:11

1 Building Safe and Reliable AI applications 30:39

1 A new storage engine for vectors 41:58

1 Project Lightspeed: Next-generation Spark Streaming 41:43

1 The Unreasonable Effectiveness of Speech Data 35:00


1 Synthetic data technologies can enable more capable and ethical AI 39:04

1 Confidential Computing for Machine Learning 36:20


1 Using SQL to Retrieve Data from APIs and Web Services 31:09

1 Machine Learning for Time Series Intelligence 40:12

1 Unleashing the power of large language models 38:51

1 Building production-ready machine learning pipelines 49:09



1 Why You Need A Time-Series Database 45:47



1 An open source and end-to-end library for causal inference 39:57


1 NLP and Language Models in Healthcare and the Life Sciences 37:44

1 Delivering Continuous Intelligence at Scale 31:23


1 Evolving Data Science Training Programs 33:52

1 Building Machine Learning Infrastructure at Netflix and beyond 35:06



1 Applications of Knowledge Graphs 39:48

1 The Unreasonable Effectiveness of Multiple Dispatch 51:18


1 Why interest in graph databases and graph analytics are growing 53:18


1 Auditing machine learning models for discrimination, bias, and other risks 52:13

1 An oscilloscope for deep learning 49:57


1 The evolution of the data science role and of data science tools 50:15

1 Data Augmentation in Natural Language Processing 51:44

1 Storage Technologies for a Multi-cloud World 42:43

1 Building a next-generation dataflow orchestration and automation system 48:36

1 Building a flexible, intuitive, and fast forecasting library 44:14


1 Training and Sharing Large Language Models 50:53

1 Questioning the Efficacy of Neural Recommendation Systems 59:24

1 Automation in Data Management and Data Labeling 43:50

1 Reinforcement Learning For the Win 48:15

1 How Companies Are Investing in AI Risk and Liability Minimization 41:57

1 The Future of Machine Learning Lies in Better Abstractions 48:53

1 Why You Should Optimize Your Deep Learning Inference Platform 41:37


1 Injecting Software Engineering Practices and Rigor into Data Governance 42:37

1 Building a data store for unstructured data and deep learning applications 35:33

1 How Technology Companies Are Using Ray 35:26

1 Data quality is key to great AI products and services 41:01


1 Measuring the Impact of AI and Machine Learning Research 40:43

1 The Mathematics of Data Integration and Data Quality 44:00


1 Challenges, Opportunities, and Trends in EdTech 51:32



1 Data and Machine Learning Platforms at Shopify 43:34


1 NLP and AI in Financial Services 46:24

1 Modern Experimentation Platforms 53:55

1 Reinforcement Learning in Real-World Applications 37:05


1 Why You Need a Modern Metadata Platform 46:05

1 Making Large Language Models Smarter 38:42



1 Deploying Machine Learning Models Safely and Systematically 41:32

1 Large-scale machine learning and AI on multi-modal data 32:05

1 Machine Learning in Astronomy and Physics 40:48



1 The Computational Limits of Deep Learning 43:04


1 Building and deploying knowledge graphs 49:30

1 Financial Time Series Forecasting with Deep Learning 37:10

1 A programming language for scientific machine learning and differentiable programming 50:17

1 Using machine learning to modernize medical triage and monitoring systems 32:55

1 Connecting Reinforcement Learning to Simulation Software 52:47

1 Using machine learning to detect shifts in government policy 43:08


1 Best practices for building conversational AI applications 43:55

1 Tools for scaling machine learning 39:06

1 From Python beginner to seasoned software engineer 49:20

1 Assessing Models and Simulations of Epidemic Infectious Diseases 43:38

1 Towards Simple, Interpretable, and Trustworthy AI 41:42

1 The Rise of Metadata Management Systems 30:19

1 Tools for building robust, state-of-the-art machine learning models 42:26

1 Creating Master Data at Scale with AI 38:11

1 Bringing AI and computing closer to data sources 48:43


1 Taking business intelligence and analyst tools to the next level 48:16

1 Data exchanges and their applications in healthcare and the life sciences 51:51


1 A Unified Management Model for Successful Data-Focused Teams 47:58

1 Security and privacy for the disoriented 46:34


1 Improving the robustness of natural language applications 37:35

1 End-to-end deep learning models for speech applications 43:48

1 Securing machine learning applications 45:40

1 Improving the hiring pipeline for software engineers 52:30

1 How to build state-of-the-art chatbots 45:12


1 How graph technologies are being used to solve complex business problems 49:38

1 Machines for unlocking the deluge of COVID-19 papers, articles, and conversations 42:57

1 Designing machine learning models for both consumer and industrial applications 33:34

1 Building open source developer tools for language applications 43:55

1 Viewing machine learning and data science applications as sociotechnical systems 40:34

1 Identifying and mitigating liabilities and risks associated with AI 35:07

1 How machine learning is being used in quantitative finance 40:04

1 Understanding machine learning model governance 35:08

1 Improving performance and scalability of data science libraries 33:43


1 An open source platform for training deep learning models 40:44

1 Algorithms that continually invent both problems and solutions 43:45

1 Computational Models and Simulations of Epidemic Infectious Diseases 34:37

1 Human-in-the-loop machine learning 43:35

1 Next-generation simulation software will incorporate deep reinforcement learning 39:55

1 Business at the speed of AI: Lessons from Shopify 37:12

1 How deep learning is being used in search and information retrieval 39:50

1 The responsible development, deployment and operation of machine learning systems 38:52

1 Hyperscaling natural language processing 35:14

1 What businesses need to know about model explainability 36:10

1 Scalable Machine Learning, Scalable Python, For Everyone 35:45

1 Computational humanness, analogy and innovation, and soft concepts 33:38

1 Building domain specific natural language applications 33:09

1 The state of privacy-preserving machine learning 42:15

1 Taking messaging and data ingestion systems to the next level 38:00

1 Business at the speed of AI: Lessons from Rakuten 41:16

1 The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks 30:23
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