Inside the Hyperledger Ecosystem - Projects, India Chapter, and Walmart's Open Source Strategy
Explore Hyperledger's ecosystem, projects, India chapter, and Walmart's open source strategy in enterprise blockchain development and deployment.
Aries ACAPY Update - October 17, 2023
Explore Aries ACAPY's latest developments and features in decentralized identity management. Gain insights into enterprise-grade blockchain implementations and their practical applications.
Markets in the Metaverse - Defining Value and Interoperability
Explore markets in the metaverse, covering definitions, interoperability, value creation, and potential economic impacts. Gain insights into this emerging digital frontier and its business implications.
Remaking Financial Infrastructure with DASL, Cordite, and XDC
Explore Richard Crook's insights on revolutionizing financial infrastructure using DASL, Cordite, XDC, and other technologies. Gain knowledge about innovative approaches in decentralized finance and blockchain applications.
Obtaining New Insights on Model Behavior with Fiddler - MLOps Meetup #110
Gain insights on model behavior using Fiddler for monitoring, explainability, and analysis. Learn to instrument ML models for observability, register models, and publish events to understand data drift and underperforming cohorts.
Managing Machine Learning Projects - From Design to Deployment
Explore ML project management strategies, from setup to production integration. Learn to navigate challenges, assess models, and align with business processes for successful implementation.
Let's Talk About Raw Documents - Extracting Structured Data for ML Pipelines
Explore raw document processing for ML pipelines with Unstructured.io's open-source tools. Learn to extract structured data, build custom preprocessing APIs, and integrate with popular ML frameworks.
How a Manager Became a Believer in DevOps for Machine Learning
Explore insights on leading data teams, improving as a software engineer, and migrating from monolith to microservices in healthcare. Learn from Keith Trnka's experience in NLP, machine learning, and telemedicine.
Clean Code for Data Scientists - MLOps Coffee Sessions
Explore clean coding practices for data scientists, Shopify's real-time serving platform Merlin, and insights on LLMs in production with Matt Sharp, Data Developer at Shopify.
The Long Tail of ML Deployment - Challenges and Solutions
Explore ML deployment challenges and solutions with Baseten co-founder Tuhin Srivastava. Gain insights on engineering perspectives, LLM limitations, and the future of ML-powered products in this informative podcast episode.
Dataframes Are All You Need: MLOps on Easy Mode
Explore the power of dataframes in MLOps with Jay Chia. Learn how this flexible abstraction simplifies complex data processing, analytics, and machine learning pipelines using Daft as an example.
From Arduinos to LLMs: Exploring the Spectrum of ML - MLOps Podcast Episode 162
Explore MLOps spectrum from LLMs to TinyML. Gain insights on model deployment challenges, IoT integration, and strategies for constrained environments. Learn about the intersection of machine learning and electronics.
Democratizing AI - Vector Databases and LLM Applications
Explore vector databases, LLM app building, and AI democratization with Yujian Tang. Learn about Milvus, production use cases, data challenges, and the future of AI technologies.
Building LLM Applications for Production
Explore key challenges in deploying LLMs to production, covering essential considerations for real-world application development and implementation.
Scalable Evaluation and Serving of Open Source LLMs
Explore challenges and solutions for serving open-source LLMs in production, focusing on scalable evaluation and deployment strategies.
Using Vector Databases: Practical Advice for Production - LLMs in Prod Conference
Explore vector databases for LLMs in production. Learn design patterns, context retrieval, feature injection, and common pitfalls. Gain practical insights for efficient deployment and management.
Embeddings and Retrieval for LLMs: Techniques and Challenges
Explore embedding-based retrieval for AI apps, including key limitations and mitigation techniques. Learn about Chroma, an open-source embedding database for LLM applications.
Eliminating Garbage In/Garbage Out for Analytics and ML
Discover strategies to eliminate bad data at the source, improve data quality ownership, and enhance observability in Analytics/ML stacks. Learn from experts in data engineering and product management.
From Virtualization to AI Integration - MLOps Coffee Sessions
Explore AI integration challenges for businesses, from virtualization to modern ML systems. Gain insights on bridging gaps in AI implementation and investment strategies.
The Truth About AI Agents - Current Limitations and Future Potential
Explore the potential and limitations of AI agents, focusing on reliability, performance, and safety. Learn about current challenges and future developments in this emerging field.
Product Engineering for LLMs - Panel 2
Explore product engineering for LLMs with experts discussing UX patterns, evaluation, and AI application building. Gain insights on adopting LLMs in various industries and creating effective ML-powered products.