Jeroen Overschie - Dataset enrichment using LLM's ✨

Dataset Enrichment Using LLMs

• LLMs can be used to enrich datasets by extracting information from unstructured text.
• The speaker uses a simple approach to extract information, but notes that it’s not the most sophisticated method.
• The LLM can hallucinate or produce false information, which needs to be mitigated.
• The speaker discusses the importance of providing clear instructions to the LLM to avoid hallucinations.
• He also emphasizes the need to evaluate the output of the LLM to ensure its accuracy.
• The speaker uses a pedantic model to generate a detailed schema for the data.
• He notes that the output of the LLM can be unpredictable and may not always be accurate.
• The speaker concludes that using LLMs for dataset enrichment can be useful, but requires careful evaluation and mitigation of potential errors.