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MLOps podcast #195 with Varun Mohan, CEO of Codeium, Building the Future of AI in Software Development, brought to us by QuantumBlack . // Abstract This brief overview traces the evolution of Exafunction and Codeium, highlighting the strategic transition. It explores the inception of Codeium's key features, offering insights into the thoughtful design process. This emphasizes the company's...

// Abstract Explore the transformative role of AI in EdTech, discussing its potential to enhance learning experiences and personalize education. The panelists share insights on AI use cases, challenges in AI integration, and strategies for building a differentiated business model in the evolving AI landscape. The discussion looks ahead at how the latest wave of GenAI is set to shape the future of...

Join our conference: https://home.mlops.community/public/events/llms-in-production-part-iii-2023-10-03 MLOps Coffee Sessions Special episode with Tecton, Get your ML Application Into Production, sponsored by Tecton . // Abstract Getting an ML application into production is more difficult than most teams expect—but with the right preparation, it can be done efficiently! Join us for this exclusive r...

MLOps podcast #194 with Omar Khattab, PhD Candidate at Stanford, DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines. // Abstract The ML community is rapidly exploring techniques for prompting language models (LMs) and for stacking them into pipelines that solve complex tasks. Unfortunately, existing LM pipelines are typically implemented using hard-coded "prompt te...

// Abstract Martian is focused on building a model router to dynamically route every prompt to the best LLM for the highest performance and lowest cost. Corti, the Al Co-Pilot for health care uses Al to improve patient care, demonstrating the potential of Al in healthcare and medical decision-making. They recently raised $60M, with Prosus being one of the lead investors. Transforms is pioneering i...

MLOps podcast #193 with Pierre Salvy, Head of Engineering at Cambrium, LLM in Material Production, co-hosted by Stephen Batifol. // Abstract Delve into the world of proteins, genetic engineering, and the intersection of AI and biotech. Pierre explains how his company is using advanced models to design proteins with specific properties, even creating a vegan collagen for cosmetics. By harnessing th...

// Abstract A product-minded engineering perspective on UX/design patterns, product evaluation, and building with AI. // Bio Charles Frye Charles teaches people how to build ML applications. After doing research in psychopharmacology and neurobiology, he pivoted to artificial neural networks and completed a PhD at the University of California, Berkeley in 2020. He then worked as an educator at Wei...

MLOps podcast #192 with Chris Van Pelt, CISO and co-founder of Weights & Biases, Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines sponsored by Weights & Biases . // Abstract Chris provides insights into his machine learning (ML) journey, emphasizing the significance of ML evaluation processes and the evolving landscape of MLOps. The conversation covers effective evaluat...

MLOps podcast #191 with Gregory Kamradt, Founder of Data Independent , Building Defensible AI Apps sponsored by Milvus Vector Database . // Abstract Demetrios engages in a captivating conversation with Gregory Kamradt, an AI visionary deeply immersed in technology and product development. The discussion spans various challenges businesses encounter in implementing AI, the transformative potential...

MLOps podcast #190 with Ads Dawson, Senior Security Engineer at Cohere, Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security. // Abstract Ads Dawson, a seasoned security engineer at Cohere, explores the challenges and solutions in securing large language models (LLMs) and natural language programming APIs. Drawing on his extensive experience, Ads discusses approaches to threat m...

MLOps podcast #189 with Rohit Agarwal, CEO of Portkey.ai, Designing for Forward Compatibility in Gen AI. // Abstract For two whole years of working with a large LLM deployment, I always felt uncomfortable. How is my system performing? Are my users liking the outputs? Who needs help? Probabilistic systems can make this really hard to understand. In this talk, we'll discuss practical & imple...

MLOps podcast #188 with Anand Das, Co-founder and CTO of Bito, Impact of LLMs on the Tech Stack and Product Development. // Abstract Anand and his team have developed a fascinating Chrome extension called "explain code" that has garnered significant attention in the tech community. They have expanded their extension to other platforms like Visual Studio Code and Chat Brains, creating a p...

MLOps podcast #187 with Faizaan Charania, Product Manager, AI at LinkedIn, Building Effective Products with GenAI. // Abstract Faizaan outlines his AI product development approach, starting broadly and refining details with tech leads, emphasizing the value of a simplified MVP. He also explores integrating generative AI, highlighting its role in enhancing user experiences through LLMs. In this dis...

MLOps podcast #186 with Mike Del Balso, CEO & Co-founder of Tecton and Josh Wills, Angel Investor, The Future of Feature Stores and Platforms. // Abstract Mike and Josh discuss creating templates and working at a detailed level, exploring Tecton's potential for sharing fraud and third-party features. They focus on technical aspects like data handling and optimizing models, emphasizing the...

MLOps podcast #185 with Luigi Patruno, VP of Data Science at 2U, Inc., Lessons on Data Science Leadership. // Abstract Picture this: you've got data products to manage, and you're in charge of a team. It's not all sunshine and rainbows, right? Luigi dives into the nitty-gritty of the challenges - from juggling data projects to wrangling the team dynamics. It's a real adventure, let...

MLOps podcast #184 with Richa Sachdev, Executive Director- Data Operations and Automation at JP Morgan Chase, Data Platforms in MLOps: Translating Business Goals into Product Decisions. // Abstract Richa, with her background in software engineering and experience in the financial sector, shares her insights on optimizing the end-user experience and the importance of understanding business goals an...

MLOps podcast #183 with Ketan Umare, CEO of Union. AI, MLOps vs ML Orchestration, co-hosted by Stephen Batifol. // Abstract Let's explore the relationship between Union and Flyte, emphasizing the significance of community-driven development and the challenge of balancing feature requests with security considerations. This conversation highlights the importance of real-time data and secure data...

MLOps podcast #182 with GetYourGuide's Jean Machado, DataScience Manager, Meghana Satish, MLOps Engineer, Olivia Houghton, Machine Learning Operations Engineer, Theodore Meynard, Data Science Manager, MLOps@GetYourGuide . // Abstract Join a team to talk about the journey of GYG with MLOps, from the conception of their platform to the creation of the MLOps engineer role, and to their current st...

MLOps podcast #181 with Kyle Harrison, General Partner at Contrary, The Centralization of Power in AI. // Abstract Kyle Harrison delves into the limitations imposed by language, underscoring how it can impede our grasp and manipulation of reality while stressing the critical need for improved language model performance for real-time applications. He further explores the perils of centralizing powe...

MLOps podcast #180 with Sachin Abeywardana, Deep Learning Engineer at Canva AI, Adventures in Building CLIP and Other (Largeish) Language Models sponsored by Prem AI. // Abstract Sachin takes us on an adventure, sharing insights on the pitfalls of not understanding the broader product and the importance of incorporating AI and machine learning capabilities. From the use of AI models for grammar co...

MLOps Coffee Sessions #179 with Shahul Es, All About Evaluating LLM Applications. // Abstract Shahul Es, renowned for his expertise in the evaluation space and is the creator of the Ragas Project. Shahul dives deep into the world of evaluation in open source models, sharing insights on debugging, troubleshooting, and the challenges faced when it comes to benchmarks. From the importance of custom d...

MLOps Coffee Sessions #178 with Stephen Batifol, Building an ML Platform: Insights, Community, and Advocacy. // Abstract Discover how Wolt onboards data scientists onto the platform and builds a thriving internal community of users. Stephen's firsthand experiences shed light on the importance of developer relations and how they contribute to making data scientists' lives easier. From top-n...

MLOps Coffee Sessions #176 with Vin Vashishta, Collaboration and Strategy. // Abstract From the significance of technical strategists to the crucial role of product managers with a deep understanding of data and AI products, Vin shares invaluable insights on fostering collaboration, driving strategy, and maximizing the potential of data within organizations. Join us as we explore the importance of...

Sign up for our next LLM in production conference: https://go.mlops.community/prodiii #180 with LLMs in Production Conference part 2 Ux of a LLM User Panel, Misty Free, Dina Yerlan, and Artem Harutyunyan hosted by Innovation Endeavors' Davis Treybig. // Abstract Explore different approaches to interface design, emphasizing the significance of crafting effective prompts and addressing accuracy...

MLOps Coffee Sessions #175 with Lamia Youseff, From Virtualization to AI Integration. // Abstract Lamia discusses how both Fortune 500 companies and SMBs lack the knowledge and capabilities to identify which use cases in their systems can benefit from AI integration. She emphasizes the importance of helping these companies integrate AI effectively and acquire the necessary capabilities to stay com...