This repository contains code and resources for developing a Large Language Model (LLM) using [insert framework or library].
- [insert list of software dependencies]
- [insert minimum hardware requirements]
[Provide instructions for installing any required software dependencies and setting up the development environment.]
[Describe the dataset(s) used for training the LLM, including its source, size, and any preprocessing steps applied.]
[Describe the architecture of the LLM, including any modifications or customizations made to the base architecture.]
[Provide details on how to train the LLM, including commands, parameters, and any additional considerations.]
[Explain any fine-tuning steps performed after initial training, including the tasks or domains targeted for improvement.]
[Specify the evaluation metrics used to assess the performance of the trained LLM.]
[Discuss options for deploying the trained LLM in production environments, including APIs, libraries, or integration with existing systems.]
[Specify the license under which the code and resources in this repository are distributed.]
! pip install Flask vaderSentiment
python app.py