Comment Comment by constantinum The primary issue with LLMs is hallucination, which can lead to incorrect data and flawed business decisions.For example, Llamaparse(https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse...) uses LLMs for PDF text extraction but faces hallucination problems. See this issue for more details: https://github.com/run-llama/llama_parse/issues/420.For those interested, try LLMWhisperer(https://unstract.com/llmwhisperer/) for OCR. It avoids LLMs, eliminates hallucination issues, and preserves the input document layout for better context.Examples of extracting complex layout:https://imgur.com/a/YQMkLpAhttps://imgur.com/a/NlZOrtXhttps://imgur.com/a/htIm6cf parent constantinum 1 year ago
For example, Llamaparse(https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse...) uses LLMs for PDF text extraction but faces hallucination problems. See this issue for more details: https://github.com/run-llama/llama_parse/issues/420.
For those interested, try LLMWhisperer(https://unstract.com/llmwhisperer/) for OCR. It avoids LLMs, eliminates hallucination issues, and preserves the input document layout for better context.
Examples of extracting complex layout:
https://imgur.com/a/YQMkLpA
https://imgur.com/a/NlZOrtX
https://imgur.com/a/htIm6cf