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PODCAST

MLOps.community

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

technology

All Episodes

01:07:42

Unpacking 3 Types of Feature Stores // Simba Khadder...

MLOps.community ·

2024/10/01

Simba Khadder is the Founder & CEO of Featureform. He started his ML career in recommender systems where he architected a multi-modal personalization engine that powered 100s of millions of user’s experiences.Unpacking 3 Types of Feature Stores // MLOps Podcast #265 with Simba Khadder, Founder & CEO of Featureform. // Abstract Simba dives into how feature stores have evolved and how they now intersect with vector stores, especially in the world of machine learning and LLMs. He breaks down

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00:57:15

Reinvent Yourself and Be Curious // Stefano Bosisio...

MLOps.community ·

2024/09/27

Stefano Bosisio is an accomplished MLOps Engineer with a solid background in Biomedical Engineering, focusing on cellular biology, genetics, and molecular simulations. Reinvent Yourself and Be Curious // MLOps Podcast #264 with Stefano Bosisio, MLOps Engineer at Synthesia. // Abstract This talk goes through Stefano's experience, to be an inspirational source for whoever wants to jump on a career in the MLOps sector. Moreover, Stefano will also introduce his MLOps Course on the MLOps community

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00:50:18

Global Feature Store // Gottam Sai Bharath & Cole...

MLOps.community ·

2024/09/24

Global Feature Store: Optimizing Locally and Scaling Globally at Delivery Hero // MLOps Podcast #263 with Delivery Hero's Gottam Sai Bharath, Senior Machine Learning Engineer & Cole Bailey, ML Platform Engineering Manager.// Abstract Delivery Hero innovates locally within each department to develop MLOps practices most effective in that particular context. We also discuss our efforts to reduce redundancy and inefficiency across the company. Hear about our experiences in creating multiple

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00:59:33

RAG Quality Starts with Data Quality // Adam Kamor //...

MLOps.community ·

2024/09/20

Adam Kamor is the Co-founder of Tonic, a company that specializes in creating mock data that preserves secure datasets. RAG Quality Starts with Data Quality // MLOps Podcast #262 with Adam Kamor, Co-Founder & Head of Engineering of Tonic.ai. // Abstract Dive into what makes Retrieval-Augmented Generation (RAG) systems tick—and it all starts with the data. We’ll be talking with an expert in the field who knows exactly how to transform messy, unstructured enterprise data into high-quality fuel

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01:10:14

Who's MLOps for Anyway? // Jonathan Rioux // #261

MLOps.community ·

2024/09/17

Jonathan Rioux is a Managing Principal of AI Consulting for EPAM Systems, where he advises client on how to get from idea to realized AI products with the minimum of fuss and friction.Who's MLOps for Anyway? // MLOps Podcast #261 with Jonathan Rioux, Managing Principal, AI Consulting at EPAM Systems. // Abstract The year is 2024 and we are all staring into the cliff towards the abyss of disillusionment for Generative AI. Every organization, developer, and AI-adjacent individual is now talking

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00:40:20

Alignment is Real // Shiva Bhattacharjee // #260

MLOps.community ·

2024/09/13

Shiva Bhattacharjee is the Co-founder and CTO of TrueLaw, where we are building bespoke models for law firms for a wide variety of tasks. Alignment is Real // MLOps Podcast #260 with Shiva Bhattacharjee, CTO of TrueLaw Inc. // Abstract If the off-the-shelf model can understand and solve a domain-specific task well enough, either your task isn't that nuanced or you have achieved AGI. We discuss when is fine-tuning necessary over prompting and how we have created a loop of sampling - collecting

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00:53:25

LLMClient a New Way to Build Complex Workflows with...

MLOps.community ·

2024/09/11

Vikram Rangnekar is an open-source software developer focused on simplifying LLM integration. He created LLMClient, a TypeScript library inspired by Stanford's DSP paper. With years of experience building complex LLM workflows, he previously worked as a senior software engineer at LinkedIn on Ad Serving.LLMClient a New Way to Build Complex Workflows with LLMs // MLOps Podcast #259 with Vikram Rangnekar, Software Engineer at Stealth. // Abstract LLMClient is a new way to build complex

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01:02:42

Building in Production Human-centred GenAI Solutions...

MLOps.community ·

2024/09/05

MLOps Coffee Sessions #177 with Mohamed Abusaid and Mara Pometti, Building in Production Human-centred GenAI Solutions sponsored by QuantumBlack, AI by McKinsey.// Abstract Trust is paramount in the adoption of new technologies, especially in the realm of education. Mohamed and Mara shed light on the importance of AI governance programs and establishing AI governance boards to ensure safe and ethical use of technology while managing associated risks. They discuss the impact on customers, potential

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00:50:38

Visualize - Bringing Structure to Unstructured Data...

MLOps.community ·

2024/09/03

Markus Stoll is the Co-Founder of Renumics and the developer behind the open-source interactive ML dataset exploration tool, Spotlight. He shares insights on:AI in Engineering and ManufacturingInteractive ML Data VisualizationML Data Exploration Follow Markus for hands-on articles about leveraging ML while keeping a strong focus on data. Visualize - Bringing Structure to Unstructured Data // MLOps Podcast #258 with Markus Stoll, CTO of Renumics. A huge thank you to SAS for their generous support

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00:09:54

AI Testing Highlights // Special MLOps Podcast Episode

MLOps.community ·

2024/09/01

MLOps for GenAI Applications // Special MLOps Podcast episode with Demetrios Brinkmann, Chief Happiness Engineer at MLOps Community. // Abstract Demetrios explores common themes in ML model testing with insights from Erica Greene (Yahoo News), Matar Haller (ActiveFence), Mohamed Elgendy (Kolena), and Catherine Nelson (Freelance Data Scientist). They discuss tiered test cases, functional testing for hate speech, differences between AI and traditional software testing, and the complexities of

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00:42:35

MLSecOps is Fundamental to Robust AISPM // Sean...

MLOps.community ·

2024/08/30

Sean Morgan is an active open-source contributor and maintainer and is the special interest group lead for TensorFlow Addons. Learn more about the platform for end-to-end AI Security at https://protectai.com/.MLSecOps is Fundamental to Robust AI Security Posture Management (AISPM) // MLOps Podcast #257 with Sean Morgan, Chief Architect at Protect AI. // Abstract MLSecOps, which is the practice of integrating security practices into the AIML lifecycle (think infusing MLOps with DevSecOps

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01:07:18

MLOps for GenAI Applications // Harcharan Kabbay // #256

MLOps.community ·

2024/08/27

Harcharan Kabbay is a Data Scientist & AI/ML Engineer with Expertise in MLOps, Kubernetes, and DevOps, Driving End-to-End Automation and Transforming Data into Actionable Insights.MLOps for GenAI Applications // MLOps Podcast #256 with Harcharan Kabbay, Sr. Machine Learning Engineer at World Wide Technology. // Abstract The discussion begins with a brief overview of the Retrieval-Augmented Generation (RAG) framework, highlighting its significance in enhancing AI capabilities by combining

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00:50:38

BigQuery Feature Store // Nicolas Mauti // #255

MLOps.community ·

2024/08/23

Nicolas Mauti is an MLOps Engineer from Lyon (France), Working at Malt.BigQuery Feature Store // MLOps Podcast #255 with Nicolas Mauti, Lead MLOps at Malt. // Abstract Need a feature store for your AI/ML applications but overwhelmed by the multitude of options? Think again. In this talk, Nicolas shares how they solved this issue at Malt by leveraging the tools they already had in place. From ingestion to training, Nicolas provides insights on how to transform BigQuery into an effective feature

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01:10:17

Design and Development Principles for LLMOps // Andy...

MLOps.community ·

2024/08/20

Design and Development Principles for LLMOps // MLOps Podcast #254 with Andy McMahon, Director - Principal AI Engineer at Barclays Bank.A huge thank you to SAS for their generous support! // Abstract As we move from MLOps to LLMOps we need to double down on some fundamental software engineering practices, as well as augment and add to these with some new techniques. In this case, let's talk about this! // Bio Andy is a Principal AI Engineer, working in the new AI Center of Excellence at

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00:27:14

Data Quality = Quality AI // AIQCON Panel

MLOps.community ·

2024/08/16

// AbstractData is the foundation of AI. To ensure AI performs as expected, high-quality data is essential. In this panel discussion, Chad, Maria, Joe, and Pushkar hosted by Sam Partee will explore strategies for obtaining and maintaining high-quality data, as well as common pitfalls to avoid when using data for AI models. // Panelists - Samuel Partee: Principal Applied AI Engineer @ Redis - Chad Sanderson: CEO & Co-Founder @ Gable - Joe Reis: CEO/Co-Founder @ Ternary Data - Maria Zhang: CEO

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00:55:35

The Variational Book // Yuri Plotkin // #253

MLOps.community ·

2024/08/13

Yuri Plotkin is a Biomedical Engineer and Machine Learning Scientist and the author of The Variational Book.The Variational Book // MLOps Podcast #253 with Yuri Plotkin, an ML Scientist. // Abstract Curiosity has been the underlying thread in Yuri's life and interests. With the explosion of Generative AI, Yuri was fascinated by the topic and decided he needed to learn more. Yuri pursued learning by reading, deriving, and understanding seminal papers within the last generation. The endeavors

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00:30:33

Vision and Strategies for Attracting & Driving AI...

MLOps.community ·

2024/08/09

// AbstractAttracting and retaining top AI talent is essential for staying competitive. This panel will explore crafting and communicating a compelling vision that aligns with the organization's evolving needs, inspiring potential hires and motivating current employees. The discussion will offer actionable strategies for sourcing top talent, adapting to changing needs, and maintaining company alignment. Attendees will learn best practices for attracting AI professionals, creating an attractive

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01:09:52

Harnessing AI APIs for Safer, Accurate, & Reliable...

MLOps.community ·

2024/08/06

Ron Heichmn is an AI researcher specializing in generative AI, AI alignment, and prompt engineering. At SentinelOne, Ron actively monitors emerging research to identify and address potential vulnerabilities in our AI systems, focusing on unsupervised and scalable evaluations to ensure robustness and reliability.Harnessing AI APIs for Safer, Accurate, & Reliable Applications // MLOps Podcast #252 with Ron Heichman, Machine Learning Engineer at SentinelOne. // Abstract Integrating AI APIs

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00:35:39

Balancing Speed and Safety // Panel // AIQCON

MLOps.community ·

2024/08/02

// AbstractThe need for moving to production quickly is paramount in staying out of perpetual POC territory. AI is moving fast. Shipping features fast to stay ahead of the competition is commonplace. Quick iterations are viewed as strength in the startup ecosystem, especially when taking on a deeply entrenched competitor. Each week a new method to improve your AI system becomes popular or a SOTA foundation model is released. How do we balance the need for speed vs the responsibility of safety

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00:49:16

Reliable LLM Products, Fueled by Feedback // Chinar...

MLOps.community ·

2024/07/30

Chinar Movsisyan is the co-founder and CEO of Feedback Intelligence (formerly Manot), an MLOps startup based in San Francisco. She has been in the AI field for more than 7 years from research labs to venture-backed startups.Reliable LLM Products, Fueled by Feedback // MLOps Podcast #250 with Chinar Movsisyan, CEO of Feedback Intelligence. // Abstract We live in a world driven by large language models (LLMs) and generative AI, but ensuring they are ready for real-world deployment is crucial

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514 results

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