Wissenswertes

Key Takeaways: Tran ran a nice experiment on PDF extraction, especially for tables, using different models/libraries In short: LlamaParse wins on speed and accuracy. It’s the fastest overall and produces the cleanest output, but it requires sending PDFs to LlamaCloud. Marker is the best local option. It’s faster than Docling and handles simple tables well, but it merges columns on dense layouts. Docling is the slowest of the three and prone to hallucinating values on dense ta

Key Takeaways: Segoznac analyzed the Bing AI Report Code and found an Intent Classification, a Cited By Dimension as well as a Compare Mode Intent Classification shows 13 intents : Alongside "Navigational" and "Informational Search", you'll find "Learning and Problem Solving", "Creation", "Planning", "Comparison", "Entertainment", "Small Talk." CitedBy Dimension could either be a breakdown into the different data sources or rather AI features such as Bing Search, Bing Chat,

Key Takeaways: LangChain Library can be used to integrate with Tableau APIs (vs. Tableau MCP) Critical: Data has to be clean and output...