Unlocking the True Potential of Graph & LLMs: A Hands-on Cloud Lab Workshop

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Workshop Outline:

This hands-on workshop features Jörg Schad, a renowned AI & ML thought leader, to dive into the pairing of LLMs with Knowledge Graphs:

• Discover how combining LLMs and Knowledge Graphs complement each other and amplify their strengths. 
• Leverage Graphs to provide LLMs with relevant, contextual information directly from your business applications. 
• Equip your LLMs with the ability to explain their reasoning and answer "why?".
• Learn prompt engineering and fine-tuning techniques to tailor LLMs for specific use cases and maximize their value.
• Learn techniques to minimize AI-generated hallucinations to ensure reliable outputs. 

No more struggling with isolated data or unreliable AI. This hands-on workshop equips you with the tools and techniques to unlock the true potential of LLMs and Knowledge Graphs, empowering you to make data-driven decisions with confidence.

Background Knowledge:

This workshop is hands-on, leveraging Jupyter notebooks, so there is no need to pre-install software. An OpenAI Key is required as we will be working with GPT 3.5 / 4.

Bio: 

Jörg Schad is the ArangoDB CTO. Previously, he worked on Machine Learning Infrastructure in health care, distributed systems at Mesosphere, implemented distributed and in-memory databases, and conducted research in the Hadoop and Cloud area. He frequently speaks at meetups, international conferences, and lecture halls. Jörg is fluent in three languages and passionate about science & technology, education, and the environment.

Three Main Takeaways: 

• Understand the synergies between Knowledge Graphs and LLMs.
• Work with LangChain to develop a Question-Answering Agent to interact with your data.
• Work with LlamaIndex to load data from ArangoDB for Retrieval-Augmented Generation (RAG) applications.