Chat Insights: Measuring Response Time Between Conversation Turns with PostHog-LLM | Funnel Analysis
I demonstrate how to calculate the average time it takes for users to transition from the first to the second turn in a conversation. I also explore the distribution of these response times to get deeper insights from user behavior.
Project: https://minuva.com/PostHog-LLM
GitHub Page: https://github.com/postlang/posthog-llm
Dataset: https://huggingface.co/datasets/allenai/WildChat-1M
Discord: https://discord.com/invite/uNurWjDkke
Relevant videos: https://www.youtube.com/watch?v=fGa_1G6Z-AY and https://www.youtube.com/watch?v=3RI5ivgiAUE
#llm #analytics #monitoring #mistral #conversationalai #datainsights #llmops #trends #timeseriesanalysis #insights #conversationalai #selfhosted #userinsights #funnel #Chatbot
chatbot analytics llm analysis llm monitoring llm observability Conversational Analytics user analytics llm domain conversations
Видео Chat Insights: Measuring Response Time Between Conversation Turns with PostHog-LLM | Funnel Analysis канала Andre Moura
Project: https://minuva.com/PostHog-LLM
GitHub Page: https://github.com/postlang/posthog-llm
Dataset: https://huggingface.co/datasets/allenai/WildChat-1M
Discord: https://discord.com/invite/uNurWjDkke
Relevant videos: https://www.youtube.com/watch?v=fGa_1G6Z-AY and https://www.youtube.com/watch?v=3RI5ivgiAUE
#llm #analytics #monitoring #mistral #conversationalai #datainsights #llmops #trends #timeseriesanalysis #insights #conversationalai #selfhosted #userinsights #funnel #Chatbot
chatbot analytics llm analysis llm monitoring llm observability Conversational Analytics user analytics llm domain conversations
Видео Chat Insights: Measuring Response Time Between Conversation Turns with PostHog-LLM | Funnel Analysis канала Andre Moura
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16 сентября 2024 г. 18:11:44
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