bobazooba/wgpt
This repository features an example of how to utilize the xllm library. Included is a solution for a common type of assessment given to LLM engineers
This project helps LLM engineers convert unstructured weather descriptions into a structured JSON format. It takes a plain language description of weather conditions as input and outputs a valid JSON object containing specific weather parameters like temperature, wind speed, and precipitation. An LLM engineer or AI/ML practitioner would use this to build or benchmark models for information extraction.
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Use this if you are an LLM engineer needing to extract structured data from free-form text descriptions and want an example of how to approach this task from data generation to model training.
Not ideal if you are a weather analyst looking for a pre-built tool to process weather data, as this is primarily an example for LLM engineers, not an end-user application.
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Jan 23, 2025
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