Building Production Copilots - Part 2
Explore UI paradigms, design patterns, and challenges of production copilot systems embedded in SaaS applications leveraging LLMs and generative AI models.
Foundation Models in the Modern Data Stack - Part 2
Explore foundation models' applications in data analytics, cleaning, and linkage. Learn solutions for production deployment challenges in the modern data stack.
Building Reliable AI Agents - LLMs in Production Conference Part 2
Explore the fundamentals of building reliable AI agents, their business applications, and key challenges in agentic automation.
Create a Contextual Chatbot with LLM and Vector Database in 10 Minutes
Learn to build a contextual chatbot using LLM and vector database, exploring embedding, search, and answer generation with Langchain.
Wardley Mapping for Prompt Engineering - Part 2
Explore Wardley Mapping for strategic prompt engineering in AI, learning to analyze value chains and target efforts effectively.
Linguistically-Informed LLMs Perform Better
Explore how linguistics enhances LLM performance and shapes future improvements in AI language models.
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.
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.
LIMA: Less is More for Alignment - Turning Language Models into Chatbots
Explore LIMA, a LLaMa-based model fine-tuned on 1,000 curated prompts, producing impressive responses without user data or RLHF. Discover insights on language model alignment from this innovative approach.
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.
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.
What Drives GenAI Development in the Next 3 Years - LLMs in Production Conference
Explore key drivers shaping Generative AI's future, including scaling laws, agents, multi-modality, and open-source contributions, while addressing challenges like GPU shortages and regulations.
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.
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.
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.