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Discover how to elevate text2cypher by advancing Cypher query generation through Large Language Models (LLMs). We’ll explore the nuances of In-Context Learning, including few-shot learning and dynamic prompting with LangChain. Additionally, we’ll dive into fine-tuning techniques, such as PEFT and LoRA, to guide you through dataset preparation and fine-tuning with Unsloth. This session is ideal for refining LLMs for precise and efficient data retrieval in Neo4j.
Guest: Geraldus Wilsen
LinkedIn https://www.linkedin.com/in/geraldus-wilsen/
YouTube https://www.youtube.com/@geralduswilsen