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MLOps.community

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

Episodes

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

Jonathan Rioux is a Managing Principal of AI Consulting for EPAM Systems , where he advises clients 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 tal...

Sep 17, 20241 hr 10 min

Alignment is Real // Shiva Bhattacharjee // #260

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 - collecti...

Sep 13, 202440 min

Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // #259

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. Ax a New Way to Build Complex Workflows with LLMs // MLOps Podcast #259 with Vikram Rangnekar, Software Engineer at Stealth. // Abstract Ax is a new way to build complex workflows with LLMs....

Sep 11, 202453 min

Building in Production Human-centred GenAI Solutions // Mohamed Abusaid & Mara Pometti// #177

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, poten...

Sep 05, 20241 hr 3 min

Visualize - Bringing Structure to Unstructured Data // Markus Stoll // #258

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 Manufacturing Interactive ML Data Visualization ML 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 supp...

Sep 03, 202451 min

AI Testing Highlights // Special MLOps Podcast Episode

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 eval...

Sep 01, 202410 min

MLSecOps is Fundamental to Robust AISPM // Sean Morgan // #257

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 practi...

Aug 30, 202443 min

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

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, Lead 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 r...

Aug 27, 20241 hr 7 min

BigQuery Feature Store // Nicolas Mauti // #255

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...

Aug 23, 202451 min

Design and Development Principles for LLMOps // Andy McMahon // #254

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 Bar...

Aug 20, 20241 hr 10 min

Data Quality = Quality AI // AIQCON Panel

// Abstract Data 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: CE...

Aug 16, 202427 min

The Variational Book // Yuri Plotkin // #253

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 endeavor...

Aug 13, 202456 min

Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

// Abstract Attracting 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 attract...

Aug 09, 202431 min

Red Teaming LLMs // Ron Heichman // #252

Ron Heichmn is an AI researcher specializing in generative AI, AI alignment, and prompt engineering. At SentinelOn e , 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 e...

Aug 06, 20241 hr 10 min

Balancing Speed and Safety // Panel // AIQCON

This is a panel taken from the recent AI quality Conference presented by the MLOps Community and Kolena // Abstract The 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 S...

Aug 02, 202436 min

Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // #251

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. De...

Jul 30, 202449 min

A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON

This is a Panel taken from the recent AI Quality Conference presented by the MLOps COmmunity and Kolena // Abstract Enterprise AI leaders continue to explore the best productivity solutions that solve business problems, mitigate risks, and increase efficiency. Building reliable and secure AI/ML systems requires following industry standards, an operating framework, and best practices that can accelerate and streamline the scalable architecture that can produce expected business outcomes. This ses...

Jul 26, 202436 min

AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250

Nik Suresh wrote an evisceration of the current AI hype boom called "I Will F**king Piledrive You If You Mention AI Again." AI Operations Without Fundamental Engineering Discipline // MLOps Podcast #250 with Nikhil Suresh, Director @ Hermit Tech. // Abstract Nik is on the podcast because of an anti-AI hype piece, so a reasonable thing to discuss is going to be what most companies are getting wrong when non-technical management wants to immediately roll out ML initiatives, but are unwil...

Jul 23, 202449 min

AI in Healthcare // Eric Landry // #249

Eric Landry is a seasoned AI and Machine Learning leader with extensive expertise in software engineering and practical applications in NLP, document classification, and conversational AI. With technical proficiency in Java, Python, and key ML tools, he leads the Expedia Machine Learning Engineering Guild and has spoken at major conferences like Applied Intelligence 2023 and KDD 2020. AI in Healthcare // MLOps Podcast #249 with Eric Landry, CTO/CAIO @ Zeteo Health. // Abstract Eric Landry discus...

Jul 19, 202451 min

Evaluating the Effectiveness of Large Language Models: Challenges and Insights // Aniket Singh // #248

Aniket Kumar Singh is a Vision Systems Engineer at Ultium Cells, skilled in Machine Learning and Deep Learning. I'm also engaged in AI research, focusing on Large Language Models (LLMs). Evaluating the Effectiveness of Large Language Models: Challenges and Insights // MLOps Podcast #248 with Aniket Kumar Singh, CTO @ MyEvaluationPal | ML Engineer @ Ultium Cells. // Abstract Dive into the world of Large Language Models (LLMs) like GPT-4. Why is it crucial to evaluate these models, how we meas...

Jul 16, 202436 min

Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #247

Sophia Rowland is a Senior Product Manager focusing on ModelOps and MLOps at SAS . In her previous role as a data scientist, Sophia worked with dozens of organizations to solve a variety of problems using analytics. David Weik has a passion for data and creating integrated customer-centric solutions. Thinking data and people first to create value-added solutions. Extending AI: From Industry to Innovation // MLOps Podcast #247 with Sophia Rowland, Senior Product Manager and David Weik, Senior Sol...

Jul 12, 20241 hr 2 min

Detecting Harmful Content at Scale // Matar Haller // #246

Matar Haller is the VP of Data & AI at ActiveFence , where her teams own the end-to-end automated detection of harmful content at scale, regardless of the abuse area or media type. The work they do here is engaging, impactful, and tough, and Matar is grateful for the people she gets to do it with. AI For Good - Detecting Harmful Content at Scale // MLOps Podcast #246 with Matar Haller, VP of Data & AI at ActiveFence. // Abstract One of the biggest challenges facing online platforms today...

Jul 09, 202451 min

All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245

Catherine Nelson is a freelance data scientist and writer. She is currently working on the forthcoming O’Reilly book " Software Engineering for Data Scientists ”. Why All Data Scientists Should Learn Software Engineering Principles // MLOps podcast #245 with Catherine Nelson, a freelance Data Scientist. A big thank you to LatticeFlow AI for sponsoring this episode! LatticeFlow AI - https://latticeflow.ai/ // Abstract Data scientists have a reputation for writing bad code. This quote from Re...

Jul 05, 202453 min

Meta GenAI Infra Blog Review // Special MLOps Podcast

Meta GenAI Infra Blog Review // Special MLOps Podcast episode by Demetrios. // Abstract Demetrios explores Meta's innovative infrastructure for large-scale AI operations, highlighting three blog posts on training large language models, maintaining AI capacity, and building Meta's GenAI infrastructure. The discussion reveals Meta's handling of hundreds of trillions of AI model executions daily, focusing on scalability, cost efficiency, and robust networking. Key elements include the O...

Jul 03, 202439 min

AI Agents for Consumers // Shaun Wei // #244

Sean Wei , the CEO and co-founder of RealChar , shares his journey from working in the autonomous vehicle industry to creating an open-source voice assistant project called Realchar, which eventually evolved into Rivia , a voice AI assistant focused on managing personal phone calls. The Future of AI and Consumer Empowerment // MLOps podcast #244 with Shaun Wei, CEO & Co-Founder of RealChar. A big thank you to LatticeFlow for sponsoring this episode! LatticeFlow - https://latticeflow.ai/ // A...

Jun 28, 202457 min

ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243

Join us at our first in-person conference today all about AI Quality: https://www.aiqualityconference.com/ ML and AI as Distinct Control Systems in Heavy Industrial Settings // MLOps podcast #243 with Richard Howes, CTO of Metaformed. Richard Howes is a dedicated engineer who is passionate about control systems whether it be embedded systems, industrial automation, or AI/ML in a business application. Huge thank you to AWS for sponsoring this episode. AWS - https://aws.amazon.com/ // Abstract How...

Jun 25, 202457 min

Accelerating Multimodal AI // Ethan Rosenthal // #242

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Accelerating Multimodal AI // MLOps podcast #241 with Ethan Rosenthal, Member of Technical Staff of Runway. Huge thank you to AWS for sponsoring this episode. AWS - https://aws.amazon.com/ // Abstract We’re still trying to figure out systems and processes for training and serving “regular” machine learning models, and now we have multimodal AI to contend with! These new systems present...

Jun 21, 202455 min

Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // MLOps podcast #241 with Boris Selitser, Co-Founder and CTO/CPO of Okareo. A big thank you to LatticeFlow for sponsoring this episode! LatticeFlow - https://latticeflow.ai/ // Abstract Explore the evolving landscape of building LLM applications, focusing on the critical roles of synthetic...

Jun 18, 202457 min

How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ MLOps Coffee Sessions Special episode with LatticeFlow, How to Build Production-Ready AI Models for Manufacturing, fueled by our Premium Brand Partner, LatticeFlow . Deploying AI models in manufacturing involves navigating several technical challenges such as costly data acquisition, class imbalances, data shifts, leakage, and model degradation over time. How can you uncover the causes...

Jun 14, 202457 min

From Robotics to Recommender Systems // Miguel Fierro // #240

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Miguel Fierro is a Principal Data Science Manager at Microsoft and holds a PhD in robotics. From Robotics to Recommender Systems // MLOps Podcast #240 with Miguel Fierro, Principal Data Science Manager at Microsoft. Huge thank you to Zilliz for sponsoring this episode. Zilliz - https://zilliz.com/ . // Abstract Miguel explains the limitations and considerations of applying ML in roboti...

Jun 11, 202458 min
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