HATZ AI Branched Chatting: Compare LLMs for Industrial Engineering
This video introduces HATZ AI's 'branched chatting' feature, which allows users to compare different large language models (LLMs) and their responses within a single conversation thread. It highlights how this tool helps industrial engineers quickly evaluate and select the best AI models for specific use cases and workflows, fostering familiarity with diverse AI capabilities.
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Key Moments
Key Quotes
"It's kind of like time travel. You can go back in time and say, 'What if I asked this question to a different LLM? What if I prompted it differently?'"
"What's really cool about this in hats is that you can switch to a completely different developer. So, I can move from Anthropic to OpenAI to Google to Deepse and just keep going without having to start a new chat."
"So there's almost an element of AB testing here where you can say, gosh, there's 50 models here. There's 50 LLMs. I don't know which one to pick."
"Think of it truly as branches of a tree or roots of a tree. And you can just keep going and going and going and splitting down and and branching off."
"Use this branch chatting feature to familiarize yourself with different LLMs, different AI models on hats so that you can figure out which ones you prefer for certain use cases or certain types of conversations over others."
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