MLOps.community
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Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.
MLOps.community
1M ago
Frank Liu is the Director of Operations & ML Architect at Zilliz, where he serves as a maintainer for the Towhee open-source project. Jiang Chen is the Head of AI Platform and Ecosystem at Zilliz. Yujian Tang is a developer advocate at Zilliz. He has a background as a software engineer working on AutoML at Amazon. MLOps Coffee Sessions Special episode with Zilliz, Why Purpose-built Vector Databases Matter for Your Use Case, fueled by our Premium Brand Partner, Zilliz. Engineering deep-dive into the world of purpose-built databases optimized for vector data. In this live session ..read more
MLOps.community
1M ago
Anass Bensrhir is the Associate Partner of McKinsey & Company Casablanca. Anu Arora is the Principal Data Engineering at McKinsey & Company.
Check out mckinsey.com/quantumblack MLOps podcast #214 with QuantumBlack AI by McKinsey's Principal Data Engineer, Anu Arora and Associate Partner, Anass Bensrhir, Managing Data for Effective GenAI Application brought to you by our Premium Brand Partner QuantumBlack AI by @McKinsey . // Abstract Generative AI is poised to bring impact across all industries and business functions across industries While many companies pilot GenAI, only ..read more
MLOps.community
1M ago
// Abstract
From startups achieving significant value with minor capabilities to AI revolutionizing sales calls and raising sales by 30%, we explore a series of interesting real-world use cases. Understanding the objectives and complexities of various industries, exploring the challenges of launching products, and highlighting the vital integration of the human touch with technology, this episode is a treasure trove of insights. // Bio Greg Kamradt - Moderator Greg has mentored thousands of developers and founders, empowering them to build AI-centric applications. By crafting tutorial-based co ..read more
MLOps.community
1M ago
Huge thank you to Databricks AI for sponsoring this episode. Databricks - http://databricks.com/
Bandish Shah is an Engineering Manager at MosaicML/Databricks, where he focuses on making generative AI training and inference efficient, fast, and accessible by bridging the gap between deep learning, large-scale distributed systems, and performance computing.
Davis Blalock is a Research Scientist and the first employee of Mosaic ML: a GenAI startup acquired for $1.3 billion by Databricks. MLOps podcast #219 with Databricks' Engineering Manager, Bandish Shah and Research Scientist Davi ..read more
MLOps.community
1M ago
// Abstract Diego, David, Ads, and Katharine, bring to light the risks, vulnerabilities, and evolving security landscape of machine learning as we venture into the AI-driven future. They underscore the importance of education in managing AI risks and the critical role privacy engineering plays in this narrative. They explore the legal and ethical implications of AI technologies, fostering a vital conversation on the balance between utility and privacy. // Bio Diego Oppenheimer - Moderator Diego Oppenheimer is a serial entrepreneur, product developer and investor with an extensive background in ..read more
MLOps.community
1M ago
Huge thank you to LatticeFlow AI for sponsoring this episode. LatticeFlow AI - https://latticeflow.ai/.Dr. Petar Tsankov is a researcher and entrepreneur in the field of Computer Science and Artificial Intelligence. MLOps podcast #218 with Petar Tsankov, Co-Founder and CEO at LatticeFlow AI, A Decade of AI Safety and Trust. // Abstract // Bio Co-founder & CEO at LatticeFlow AI, building the world's first product enabling organizations to build performant, safe, and trustworthy AI systems. Before starting LatticeFlow AI, Petar was a senior researcher at ETH Zurich working on the security an ..read more
MLOps.community
1M ago
Alex Volkov serves as the AI Evangelist with Weights & Biases, Host of ThursdAI, Founder and CEO Targum and AI Consultant GPU POOR Def. not an owl.
MLOps podcast #215 with Alex Volkov, AI Evangelist at Weights & Biases, Becoming an AI Evangelist. // Abstract Follow Alex's journey into the world of AI, from being interested in running his first AI models to founding an AI startup, running a successful weekly AI news podcast & newsletter, and landing a job with @WeightsBiases . // Bio Alex Volkov is an AI Evangelist at Weights & Biases, celebrated for his expertise in ..read more
MLOps.community
1M ago
Daniel Svonava is the Co-Founder of Superlinked. Daniel Svonava attended the Faculty of Informatics and Information Technologies, Slovak University of Technology. MLOps podcast #214 with Daniel Svonava, CEO & Co-founder at Superlinked, Information Retrieval & Relevance: Vector Embeddings for Semantic Search // Abstract In today's information-rich world, the ability to retrieve relevant information effectively is essential. This lecture explores the transformative power of vector embeddings, revolutionizing information retrieval by capturing semantic meaning and context. We'll delve int ..read more
MLOps.community
2M ago
Morgan McGuire has held a variety of roles in the past 13 years. In 2008, he completed a Research Internship at Queen Mary, University of London. Currently, he is the Head of Growth ML and Growth ML Engineer at Weights & Biases. Anish Shah has been working in the tech industry since 2015. In 2015, he was a Technical Support at Fox School of Business at Temple University. In 2021, he has been an MLOps Engineer - Growth and a Tier 2 Support Machine Learning Engineer at Weights & Biases. ______________________________________________ Large Language Models have taken the world by storm. Bu ..read more
MLOps.community
2M ago
Alexandra Diem, PhD, has extensive experience in the field of AI, machine learning, and cloud analytics. Alexandra currently holds the position of Head of Cloud Analytics and MLOps at Gjensidige. Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debugging. You will also get the opportunity to join workshops that will teach you how to set up your use cases ..read more