MLOps.community Courses

Using LLMs to Power Consumer Search at Scale

Explore how Perplexity AI leverages LLMs for accurate question-answering, and learn about the challenges in building large language models for consumer search applications.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

All the Hard Stuff with LLMs in Product Development - MLOps Podcast #170

Explore challenges in LLM implementation, including security concerns and ROI measurement. Learn strategies for successful AI initiatives from an industry expert's perspective.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Challenging Traditional Machine Learning Principles with LLMs - Part 2

Challenge traditional ML principles and explore how LLMs are reshaping methodology. Discover which rules still apply and which are becoming obsolete in the era of self-supervising, extrapolating models.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

The Confidence Checklist for LLMs in Production

Discover practical strategies for securing and confidently deploying LLM systems in production, addressing performance, user satisfaction, and system monitoring challenges.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Combining LLMs with Knowledge Bases to Prevent Hallucinations

Explore strategies to prevent LLM hallucinations by combining them with knowledge bases. Learn to build reliable AI-driven applications using an LLM-powered support center example.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

The Next Million AI Apps - Developing Custom Models for Specialized Tasks

Develop custom AI models using fine-tuning and data-driven techniques to create differentiated products solving previously unattainable problems.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Making LLM Inference Affordable - Part 2

Explore techniques for efficient LLM inference, including pseudo-labeling, knowledge distillation, pruning, and quantization. Learn to optimize model selection and performance within latency and budget constraints.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Transforming AI Safety and Security for Enterprise LLM Adoption

Explore AIShield.GuArdIan technology for secure LLM adoption in businesses, addressing compliance, ethics, and role-based usage while unlocking AI potential responsibly.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

LLMs for the Rest of Us - Deploying Open-Source Language Models in the Cloud

Explore open-source LLMs as alternatives to proprietary models, addressing security and privacy concerns. Learn to deploy and operate these models efficiently using Aqueduct on cloud infrastructure.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Navigating Through the Generative AI Landscape

Explore the latest trends in Generative AI, gaining practical insights for startups to leverage advancements and enhance products in this dynamic field.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Treating Prompt Engineering More Like Code - Promptimize and Test-Driven Development for AI

Explore scientific prompt evaluation with Promptimize. Learn about open-sourcing, test suites, and AI challenges. Gain insights on prompt optimization, deterministic evaluation, and the evolving landscape of AI prompt engineering.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 51 minutes
• Self-Paced
• Free Video