AI and Blockchain-Enabled Future Wireless Networks
Explore how AI and blockchain technologies can revolutionize future wireless networks, enhancing efficiency and security in telecommunications.
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.
Machine Learning Operations - What is it and Why Do We Need It?
Explore Machine Learning Operations (MLOps) with expert Niklas Kühl, discussing its definition, importance, and practical applications in industrial ML projects for effective automation and operationalization.
Explainability in the MLOps Cycle - MLOps Podcast Episode 138
Explore explainability in MLOps with Dattaraj Rao. Gain insights on rule-based systems, ML model deployment, and emerging trends in AI. Learn about responsible AI and practical applications in various industries.
Foundational Models in Enterprise AI - Challenges and Opportunities
Explore the future of AI with foundation models, their enterprise applications, and challenges. Learn about Snorkel AI's approach to optimizing these models for cost, quality, and control.
Accelerating ML with Kubeflow for Autonomous Vehicles
Explore how Aurora Innovation accelerates ML model development for autonomous vehicles using Kubeflow, covering infrastructure evolution, pipeline building, and organization-wide adoption.
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.
Machine Learning in Production: A Data Scientist's Perspective from Ubisoft
Explore ML in production at Ubisoft with Jean-Michel Daignan. Gain insights on platform development, SDK tools, generative AI, and balancing value delivery with rapid development in the gaming industry.
Solving the Last Mile Problem of Foundation Models with Data-Centric AI
Explore data-centric AI techniques to enhance foundation models' accuracy for complex, high-value use cases. Learn to overcome hallucinations, biases, and misclassifications in real-world AI applications.
Want High Performing LLMs? It's All About Your Data - Importance of Quality Data in AI Development
Explore data-centric AI development for high-performing LLMs. Learn pre-training techniques, avoid common pitfalls, and understand the critical role of quality data in model performance.
Age of Industrialized AI - Challenges and Solutions for LLMs in Production
Explore the challenges and solutions for integrating LLMs into software, addressing hallucinations, security risks, and future developments in AI infrastructure.
Machine Learning Education at Uber - Developing an Internal ML Platform
Explore Uber's innovative ML education program, designed to empower employees with machine learning skills and enhance platform development through user feedback and engineering principles.
Fine-Tuning LLMs: Best Practices and When to Go Small - Lecture 124
Explore best practices for fine-tuning LLMs, including strategies for improving performance, overcoming challenges, and determining when to use smaller models for specific tasks.
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.
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.
Understanding the LLM Economics: The $360k Question - Lecture
Explore LLM economics, comparing costs of RAG vs fine-tuning and open-source vs commercial models. Gain insights on optimizing expenses for production-ready LLM applications.
Evaluating LLM-based Applications - Part 2
Learn hands-on techniques for evaluating language models, including data sourcing, automated metrics, and human evaluation. Gain practical tools for assessing LLM-based applications effectively.
Building Products with LLMs in Production - Panel Discussion
Explore key challenges and pitfalls in building LLM-based products, including costs, latency, and effective implementation strategies. Gain insights from industry experts on navigating the complexities of AI development.
Experiment Tracking in the Age of LLMs - MLOps Podcast
Explore experiment tracking in the age of LLMs with Neptune's CEO. Gain insights on managing ML experiments, prompt engineering, and achieving control and confidence in model development.
MLOps at the Age of Generative AI - Podcast Episode 169
Explore MLOps in the era of generative AI with insights on developing, training, and serving large language models. Gain practical knowledge on evaluating use cases and addressing challenges in AI product development.