On-Demand Hands-On Training
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LARGE LANGUAGE MODELS
LLM Engineering Masterclass: Select and apply LLMs using RAG, fine-tuning and Agentic AI
👤 Edward Donner, co-founder and CTO at Nebula.io
🚀 This hands-on workshop equips you to solve real-world business problems with powerful LLMs.
🟣 We’ll compare frontier closed and open-source models, and discuss how to pick the right LLM for the task at hand.
🟣 We’ll embark on an ambitious project to build an Agentic AI solution that beats frontier models. Our Agents will include a frontier model, a proprietary QLoRA fine-tuned LLM, and a RAG pipeline.
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AI AGENTS
Building and Evaluating an Agentic RAG Application with LangGraph
👤Greg Loughnane, Co-Founder & CEO at AI Makerspace
👤Chris Alexiuk, Co-Founder & CTO | DL at AI Makerspace | NVIDIA
📚 You’ll learn:
🔵 How to think about assessing your agent applications, quantitatively, with leading best-practice metrics
🔵 How agentic workflows are being assessed at the LLM edge.
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RETRIEVAL-AUGMENTED GENERATION
From Reviews to Insights: RAG and Structured Generation in Practice
👤Cameron Pfiffer, Developer Relations Engineer at .txt
🚀After this workshop, you will be able to:
🟣 Understand the basics of structured generation, RAG, and simple data analysis.
🟣 Optimize structured generation calls through prompting and structure design.
🟣 Create a simple system to answer natural-language queries about unstructured data.
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