Wissenswertes

Key Takeaways: Elvis emphasizes the importance of owning the orchestrator and the harness for complex AI workflows the orchestration, the harness, routing capabilities, dynamic artifacts/workflows, verifiers, ability to switch/route between agent backends, automations, the skills, and the MCP tools would be the absolute best defense for what happened with Fable this week. The potential downside: high maintenance, might be too costly, and migth be unsustainable The bigger you

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: Da KI Assistenten vielerlei Quellen aggregieren, kann es zu ungenauen teils fehlerhaften Antworten bzgl. Produkten oder...

Key Takeaways: AI-Chatbots erfinden bzw. halluzinieren Quellen Mehr als 1/3 der Quellen waren 4xx Seiten: Gemini 33,4% vs. ChatGPT 36,5%...