Pipeline Conversations
A Machine Learning Podcast by ZenML
We found 10 episodes of Pipeline Conversations with the tag “mlops”.
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The Evaluation Playbook: Making LLMs Production-Ready 🧪📈
December 15th, 2024 | Season 3 | 32 mins 43 secs
ai, evaluation, genai, llmops, llms, mlops
A comprehensive exploration of real-world lessons in LLM evaluation and quality assurance, examining how industry leaders tackle the challenges of assessing language models in production.
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Prompt Engineering & Management in Production: Practical Lessons from the LLMOps Database
December 11th, 2024 | Season 3 | 29 mins 34 secs
ai, genai, llmops, llms, mlops, prompt-engineering, prompts
Prompt engineering is the art and science of crafting instructions that unlock the potential of large language models (LLMs). It's a critical skill for anyone working with LLMs, whether you're building cutting-edge applications or conducting fundamental research. But what does effective prompt engineering look like in practice, and how can we systematically improve our prompts over time?
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LLM Agents in Production: Architectures, Challenges, and Best Practices
December 9th, 2024 | Season 3 | 32 mins 37 secs
agents, ai, genai, llmops, llms, mlops
An in-depth exploration of LLM agents in production environments, covering key architectures, practical challenges, and best practices.
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Building Advanced Search, Retrieval, and Recommendation Systems with LLMs
December 6th, 2024 | Season 3 | 13 mins 8 secs
ai, embeddings, genai, llmops, llms, mlops, rag, recommendation, search
Discover how embeddings power modern search and recommendation systems with LLMs.
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Building LLM Applications that Know What They're Talking About 🔓🧠
December 3rd, 2024 | Season 3 | 21 mins 23 secs
ai, genai, llmops, llms, mlops, rag
A conversation about the RAG entries in the ZenML LLMOps database
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Questioning MLOps with Lak Lakshmanan
October 27th, 2022 | Season 2 | 53 mins 2 secs
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops, scale
This week I spoke with Lak Lakhshmanan, who worked for years at Google on ML and AI projects and products at a senior level and he also brings years of experience working on meteorology and other scientific projects previously.
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The Full Stack with Charles Frye
October 12th, 2022 | Season 2 | 57 mins 5 secs
ai, artificial-intelligence, data-science, deep-learning, education, machine-learning, mlops
This week I spoke with Charles Frye. Not only has Charles volunteered to be a judge on our Month of MLOps competition happening right now, he's part of the core team working on the Full Stack Deep Learning course.
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Educating the next generation with Goku Mohandas
September 29th, 2022 | Season 2 | 1 hr 8 mins
ai, artificial-intelligence, data-science, education, infrastructure, machine-learning, medicine, mlops
In today's conversation, I'm speaking with Goku Mohandas, founder and creator of the amazing online resource MadeWithML. Goku has a bunch of practical experience, from working with Apple to a startup in the oncology space and much more.
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ZenML MLOps Competition
September 26th, 2022 | Season 2 | 8 mins 13 secs
competition, mlops, open-source, zenml
So excited to be able to announce our :fire: AMAZING :fire: external judges for the ZenML Month of MLOps competition! We have a stellar panel of :sparkles: ML and MLOps heroes :sparkles: to help select the best pipelines from all of your submissions!
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ML Abstractions with Phil Howes
September 5th, 2022 | Season 2 | 54 mins 13 secs
ai, data-science, infrastructure, machine-learning, mlops, pipelines, platforms, tools
This week we dive into the abstractions that we're all trying to layer on top of the core ML processes and workflows. I spoke with Phil Howes, co-founder and chief scientist at BaseTen. BaseTen is a platform that allows data scientists to go from an initial model to an MVP web app quickly.