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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

01:10:06

The Real E2E RAG Stack // Sam Bean // #217

MLOps.community ·

2024/03/08

Sam Bean is a seasoned AI and machine learning expert, specializing in Large Language Models (LLMs) and search tech. With a computer science background and a drive for innovation, Sam leads the team at Rewind AI in leveraging advanced tech to tackle complex challenges.MLOps podcast #217 with Sam Bean, Software Engineer (Applied AI) at Rewind.ai, The Real E2E RAG Stack. // Abstract What does a fully operational LLM + Search stack look like when you're running your own retrieval and inference

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00:51:00

Managing Data for Effective GenAI Application // Anu...

MLOps.community ·

2024/03/05

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

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01:14:31

Becoming an AI Evangelist // Alex Volkov // #215

MLOps.community ·

2024/03/01

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 . //

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00:30:48

LLM Use Cases in Production // AI in Production...

MLOps.community ·

2024/02/28

// AbstractFrom 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

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00:56:04

Information Retrieval & Relevance // Daniel Svonava...

MLOps.community ·

2024/02/24

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

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00:51:56

Evaluating and Integrating ML Models // Morgan...

MLOps.community ·

2024/02/21

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 &

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01:05:45

Data Governance and AI // Alexandra Diem // #212

MLOps.community ·

2024/02/16

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

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00:52:37

Ads Ranking Evolution at Pinterest // Aayush Mudgal...

MLOps.community ·

2024/02/13

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy-Aware Conversion Modeling. 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

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00:55:47

LLM Evaluation with Arize AI's Aparna Dhinakaran // #210

MLOps.community ·

2024/02/09

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 and skip over all the headaches. Join the AI in Production Conference on February 15 and 22 here:

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01:03:57

Powering MLOps: The Story of Tecton's Rift // Matt...

MLOps.community ·

2024/02/06

Matt Bleifer is a Group Product Manager at Tecton, where he focuses on the core product experience such as building, testing, and productionizing feature pipelines as scale. Michael Eastham works as a Chief Architect at Tecton, which is a Business Intelligence (BI) Software company with an estimated 100 employees 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

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00:56:20

[Exclusive] QuantumBlack Round-table // Gen AI Buy vs...

MLOps.community ·

2024/02/02

Join our virtual conference 'AI in Production' Transform faster. Innovate smarter. Anticipate the future. At QuantumBlack, we unlock the power of artificial intelligence (AI) to help organizations reinvent themselves from the ground up—and accelerate sustainable and inclusive growth. MLOps Coffee Sessions Special episode with QuantumBlack, AI by McKinsey, GenAI Buy vs Build, Commercial vs Open Source, fueled by our Premium Brand Partner, QuantumBlack, AI by McKinsey. // Abstract Do you

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00:57:10

Micro Graph Transformer Powering Small Language...

MLOps.community ·

2024/01/30

Jon Cooke is the owner/founder of Dataception a Data, Analytics, and Data Product company, and the creator of the Data Product Pyramid, an adaptive Data Product operating model. MLOps podcast #208 with Jon Cooke, CTO of Dataception, Micro Graph Transformer - Specialist Small Language Models Using Graphs to Accelerate Data Product Eco-systems. // Abstract Specialist deconstructed Encoder/Decoder Transformers along with data product management and tech to vastly accelerate prototyping, building, and

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00:39:11

How Data Platforms Affect ML & AI // Jake Watson // #207

MLOps.community ·

2024/01/26

Jake Watson is the writer of thedataplatform.substack.com⁠ and Principal Data Engineer at The Oakland Group. MLOps podcast #207 with Jake Watson, Principal Data Engineer at The Oakland Group, How Data Platforms Affect ML & AI. // Abstract I’ve always told my clients and colleagues that traditional rule-based software is difficult, but software containing Artificial Intelligence (AI) and/or Machine Learning (ML)* is even more difficult, sometimes impossible. Why is this the case? Well,

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00:48:55

RAG Has Been Oversimplified // Yujian Tang // #206

MLOps.community ·

2024/01/23

Yujian is working as a Developer Advocate at Zilliz, where they develop and write tutorials for proof of concepts for large language model applications. They also give talks on vector databases, LLM Apps, semantic search, and tangential spaces. MLOps podcast #206 with Yujian Tang, Developer Advocate at Zilliz, RAG Has Been Oversimplified, brought to us by our Premium Brand Partner, Zilliz // Abstract In the world of development, Retrieval Augmented Generation (RAG) has often been oversimplified

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01:10:02

The Myth of AI Breakthroughs // Jonathan Frankle // #205

MLOps.community ·

2024/01/19

Jonathan Frankle works as Chief Scientist (Neural Networks) at MosaicML (recently acquired by Databricks), a startup dedicated to making it easy and cost-effective for anyone to train large-scale, state-of-the-art neural networks. He leads the research team. MLOps podcast #205 with Jonathan Frankle, Chief Scientist (Neural Networks) at Databricks, The Myth of AI Breakthroughs, co-hosted by Denny Lee, brought to us by our Premium Brand Partner, Databricks. // Abstract Jonathan takes us behind the

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00:49:01

MLOps at the Crossroads // Patrick Barker & Farhood...

MLOps.community ·

2024/01/16

Patrick Barker is the Founder / CTO of Kentauros AI. Farhood Etaati is a Software Engineer at Yektanet. MLOps podcast #204 with Patrick Barker, CTO of Kentauros AI and Farhood Etaati, MLOps/Platform Team Lead at AIMedic, MLOps at the Crossroads. // Abstract MLOps is at a crossroads. The ever-increasing excitement for LLMs' ability to solve some interesting real-world problems has made many people interested in applying these models in new applications which comes with its own challenges, that

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01:04:23

Pioneering AI Models for Regional Languages // Aleksa...

MLOps.community ·

2024/01/12

Aleksa Gordić is an ex-Google DeepMind / Microsoft ML engineer currently working on non-English LLMs at OrtusAI, open-sourcing Meta's NLLB (no language left behind) project and YugoGPT. MLOps podcast #203 with Aleksa Gordić, Founder of OrtusAI, Pioneering AI Models for Regional Languages. // Abstract Dive deep into Aleksa's work with the YugoGPT, a language model serving Serbian, Croatian, Bosnian, and Montenegrin dialects - emphasizing the need for multilingual AI developments. Explore

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01:08:34

Small Data, Big Impact: The Story Behind DuckDB //...

MLOps.community ·

2024/01/09

Prof. Dr. Hannes Mühleisen is a creator of the DuckDB database management system and Co-founder and CEO of DuckDB Labs. Jordan is co-founder and chief duck-herder at MotherDuck, a startup building a serverless analytics platform based on DuckDB. MLOps podcast #202 with Hannes Mühleisen, Co-Founder & CEO of DuckDB Labs and Jordan Tigani, Chief Duck-Herder at MotherDuck, Small Data, Big Impact: The Story Behind DuckDB. // Abstract Navigate the intricacies of data management with Jordan Tagani

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01:18:28

Language, Graphs, and AI in Industry // Paco Nathan...

MLOps.community ·

2024/01/05

Paco Nathan is the Managing Partner at Derwen, Inc., and author of Latent Space, along with other books, plus popular videos and tutorials about machine learning, natural language, graph technologies, and related topics. MLOps podcast #201 with Paco Nathan, Managing Partner at Derwen, Inc., Language, Graphs, and AI in Industry. // Abstract Let's talk about key findings from these conferences, specifically summarizing teams that have ROI on machine learning in production: what are the things in

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00:57:30

Founding, Funding, and the Future of MLOps // Mihail...

MLOps.community ·

2024/01/02

Mihail Eric is an engineer, researcher, and educator who has helped start teams at innovative organizations such as Amazon Alexa and RideOS. Mihail is a cofounder of Storia AI where they build an AI-powered creative assistant for fast and delightful image and video generation. MLOps podcast #200 with Mihail Eric, Co-founder of Storia AI, Founding, Funding, and the Future of MLOps. // Abstract Demetrios and Mihail journey deep into the significance of human sentiment in an increasingly AI-driven

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514 results

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