This podcast episode features Leann Chen, a developer advocate at Diffbot, who shares her insights into knowledge graphs and their applications in web data structuring, particularly in the context of fine-tuning large language models (LLMs). The discussion covers onboard strategies for newcomers, the integration of vector and graph-based systems in knowledge representation, and the challenges of automating LLM prompts through the DSPY framework. Emphasizing the iterative nature of creative processes with LLMs, Leann also highlights practical tools and the upcoming NODES 2024 conference focused on graph technology. Her experiences underscore the growing relevance of knowledge graphs in data science and AI, while also advocating for continuous learning and resource sharing within the community.
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