CHOOSEAgents & automation
LLM Decision Response Optimization


This project aims to reduce the cost and latency associated with using large language models (LLMs) for simple decision-based responses, such as 'Yes' or 'No', by employing a mechanism called 'jev' for making decisions on NDX/SPX regimes.
Remove expensive/slow LLM calls for decision responses. You might have 5k input token just for Yes or No answer. Used jev to make the decision on NDX/SPX regime. ai-stocks-dashboard.netlify.app x.com/KinshaAbid/status/210159174377509313