Turning GLM-5.3-Flash into a Jev-like decision model
An off-the-shelf language model can be transformed into a decision-making model, similar to Jev, by utilizing a single forward pass. This method enables the LLM to provide typed decisions with probabilities for each option in just one pass, improving both speed and cost efficiency. Tests conducted with GLM-5.3-Flash on Privatemode demonstrated that this approach matched Jev's accuracy and speed.
Moreover, this setup allows for typed decisions on images, a capability not available with Jev. By specifying options and their indices in the prompt, the model can predict the chosen option and its associated probabilities. This innovative technique has the potential to revolutionize the way LLMs are employed for decision-making in high-volume and high-throughput scenarios, making them more practical and cost-effective.
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