Building Recommender Systems with Large Language Models
Explore recent approaches to building recommender systems using LLMs, focusing on language understanding and generation templates for various recommendation tasks.
Unleashing Code Completion with LLMs - Learning from Building Code Suggestions
Explore code completion with LLMs, covering model selection, infrastructure, evaluation, and cost considerations. Gain insights into building effective AI-assisted coding tools.
Bringing Structure to Unstructured Data with an AI-First System Design
Explore AI-powered data systems for unstructured content, addressing challenges and sharing key lessons for end-to-end applications in enterprise environments.
End-to-end Modern Machine Learning in Production - Part 2
Explore RLHF, efficient training techniques, on-device ML, and optimizations in modern machine learning production with insights from a Hugging Face lead engineer.
Evolving AI Governance for an LLM World - Part 2
Explore evolving AI governance frameworks for LLM-driven applications in production, addressing critical changes needed for successful implementation.
Considerations and Optimizations for Deploying Open Source LLMs at Your Company
Explore best practices for secure, reliable, and scalable open-source LLM deployments in enterprise settings.
Preemption Chaos and Optimizing Server Startup for LLMs in Production - Part 2
Optimize GPU costs and improve uptime by leveraging preemptible instances for LLM services, overcoming challenges and maximizing savings.
MLOps LLM Stack Hackathon Winner - Visualizing MLOps Community Trends
Explore MLOps community trends through interactive tools visualizing Slack message content, presented by open-source contributor and LangChainGo maintainer Travis Cline.
Introduction to QA Bots with RAGs and LLMs
Explore QA systems using LLMs and RAGs, learning to create powerful question-answering bots on custom datasets.
Observability for LLMs - Lightning Talk
Explore observability techniques for LLMs, including instrumentation, telemetry analysis, and OpenTelemetry integration. Learn to enhance reliability and gather crucial evaluation data for AI systems.
Unlocking Real-World LLM Use Cases - Techniques for Accurate Results
Explore real-world LLM applications, overcome limitations, and leverage techniques like RAG to ground results. Learn to bridge LLMs with enterprise Gen AI apps using vector-supported databases.
Building a Retrieval Augmented Generation System: Challenges and Best Practices
Explore the challenges and best practices in building a Retrieval Augmented Generation system, focusing on data quality, query engines, and contextualization for informed decision-making in your projects.
Evaluating LLMs for AI Risk - Techniques for Red Teaming Generative AI
Explore cutting-edge techniques for red-teaming generative AI and building validation engines to probe models for security, ethics, and safety issues. Learn a framework to manage AI risk across the model lifecycle.
The State of Open Source AI: Deployment Engines, Licenses, and Hardware
Explore the latest in open-source AI: deployment challenges, evolving licenses, and hardware advancements. Gain insights into project maintenance, permissive architectures, and improving software portability for AI development.
Navigating via Retrieval Evaluation to Demystify LLM Wonderland
Explore retrieval evaluation's crucial role in LLM applications, focusing on its impact on response quality. Delve into the link between retrieval accuracy and answer quality, emphasizing thorough evaluation methods.
Vision Pipelines in Production: Serving and Optimizations - AI in Production
Explore vision model production: fine-tuning LORAs, upscaling pipelines, constraints-based generations, and step-by-step enhancements for optimal performance and quality in production-ready services.
RAG and RecSys - Parallels in Retrieval Quality Improvement
Explore parallels between RAG and recommender systems, focusing on improving retrieval quality through hybrid reranking techniques using LanceDB in this concise AI production talk.
Fine-Tuning LLMs: Helix for Text and Image AI Models
Explore Helix for fine-tuning text and image AI using open-source models. Learn about challenges in creating a fine-tuning service platform from a software infrastructure expert.
Graphs and Language - AI in Production Lightning Talk
Explore building knowledge graphs with language models and small language models to improve quality. Learn about NLP, recommender systems, and blockchain applications in digital solutions.
Lessons from Building LLM-based Social Media Products
Explore Gen AI product development for social media: from ideation to success measurement. Learn efficient strategies for user-centric AI products, hardware planning, and building user trust.
LLMOps and GenAI at Enterprise Scale - Challenges and Opportunities
Explore challenges and opportunities in deploying GenAI solutions at enterprise scale. Learn about LLMOps, model selection, emerging stacks, and best practices for robust implementation.