GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Challenges in Identifying Entities in Text Data
Identifying entities in text data like people, companies, and other entities using tools like LLMs can be challenging due to noise and data quality issues. Models from Azure or Amazon might misidentify terms causing inaccuracies. There is a need for testing, evaluation, and continuous refinement to improve accuracy. Training models with NLP can help in entity identification and data enrichment from sources like Crunchbase and Wikipedia can enhance metadata. Exploring ways to prompt further identification of entities, like finding more information about identified entities, is an area worth exploring for better accuracy.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
