Скачать с ютуб I asked 10+ AI models the same questions in Notion (even some local LLMs) в хорошем качестве

I asked 10+ AI models the same questions in Notion (even some local LLMs)

Watch as I showcase a unique Notion database setup that allows you to query multiple AI models simultaneously - both local and cloud-based - all within the familiar Notion interface. This isn't a coding tutorial, but rather a demonstration of what's possible with this powerful integration. In this video, you'll see: How a single question can be automatically routed to multiple AI models including GPT-4, Claude 3.5/3.7, Gemini, and local models like Llama 3.2 The interesting differences in how various models answer identical questions (sometimes with three different answers to the same question reordered!) A consensus feature that synthesizes responses across different models to find the most reliable answer How easily you can customize prompts and add new models to your comparison database I test various models with challenging questions that reveal their limitations - like counting the seventh letter in a sentence (which most models surprisingly fail at). This provides a fascinating glimpse into the current state of AI capabilities and inconsistencies. While I don't share the code implementation in this video, the demonstration offers valuable insights for AI enthusiasts, researchers, or anyone interested in comparative model performance. Let me know in the comments which aspect of this setup interests you most - whether it's multi-model consensus, spreadsheet-based AI workflows, or comparing local vs. cloud models!