Pipeline Conversations Podcast
1) Production LLM Security: Real-world Strategies from Industry Leaders π
Learn how leading companies like Dropbox, NVIDIA, and Slack tackle LLM security in production. This comprehensive guide covers practical strategies for preventing prompt injection, securing RAG system...Show More
2) Optimizing LLM Performance and Cost for LLMs in Production
In this episode, we dive deep into the world of LLM optimization and cost management - a critical challenge facing AI teams today. Join us as we explore real-world strategies from companies like Dropb...Show More
3) The Evaluation Playbook: Making LLMs Production-Ready π§ͺπ
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. Through di...Show More
4) Prompt Engineering & Management in Production: Practical Lessons from the LLMOps Database
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 buildin...Show More
5) LLM Agents in Production: Architectures, Challenges, and Best Practices
An in-depth exploration of LLM agents in production environments, covering key architectures, practical challenges, and best practices. Drawing from real-world case studies, this article examines the ...Show More
6) Building Advanced Search, Retrieval, and Recommendation Systems with LLMs
Discover how embeddings power modern search and recommendation systems with LLMs, using case studies from the LLMOps Database. From RAG systems to personalized recommendations, learn key strategies an...Show More
7) Building LLM Applications that Know What They're Talking About ππ§
Explore real-world applications of Retrieval Augmented Generation (RAG) through case studies from leading companies. Learn how RAG enhances LLM applications with external knowledge sources, examining ...Show More
8) Demystifying LLMOps: A Practical Database of Real-World Generative AI Implementations
The LLMOps Database offers a curated collection of 300+ real-world generative AI implementations, providing technical teams with practical insights into successful LLM deployments. This searchable res...Show More
9) ML at the British Library with Daniel van Strien
This week I spoke with Daniel van Strien, a digital curator working at the British Library. Daniel has worked on a number of projects at the intersection of archives, libraries and machine learning an...Show More
10) Questioning MLOps with Lak Lakshmanan
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 scie...Show More