Abstract: Forecasting the election results is a tedious task that tends to be stochastic. Analyzing the public sentiment is erratic. “PollVue” employs Python, NLTK, Firebase, Streamlit, and ...
Fixed issue where default value was not been sent back to Streamlit Refactor label into a tooltip reducing the width of the widget by 30% Adjusted default size of track, rail and thumb to match ...
So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
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