/** @jsxImportSource https://esm.sh/react */ // This val creates a matrix of evaluations for different LLM models and context window sizes. // It uses React with renderToString to generate the HTML on the server side. // The client-side JavaScript handles the dynamic evaluation process, updating the table in real-time. // Models are now run in parallel for each context window size. // Results are stored in a structured object and attached to the window for easy access. // Each cell now shows results from individual runs. // A start button has been added to initiate the evaluation process. import React from "npm:react"; import { renderToString } from "npm:react-dom/server"; const models = [ "gpt-4o", "gpt-4o-mini", "claude-3-5-sonnet-20240620", "ft:gpt-4o-mini-2024-07-18:val-town::9oyLBIYw", ]; const contextWindowSizes = [200, 50, 10]; const runs = 3; const App = () => ( LLM Evaluation Matrix

LLM Evaluation Matrix

{contextWindowSizes.map(size => )} {models.map(model => ( {contextWindowSizes.map(size => )} ))}

Model / Context Window Size	{size}
{model}	Queued

metaEVALLuator