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This repository contains code for implementing both Large Language Models (LLM) and Long Short-Term Memory (LSTM) models in AWS SageMaker Studio Lab. It includes notebooks for LLM-based applications and LSTM models for stock price prediction.

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LLM and LSTM Models for Desa Analytics

This repository contains code for both Large Language Models (LLM) and Long Short-Term Memory (LSTM) models developed on AWS SageMaker Studio Lab.

AWS SageMaker Studio Lab

You can open these notebooks and run them in AWS SageMaker Studio Lab:

  1. Go to AWS SageMaker Studio Lab.
  2. After signing in, click on the Git icon in the sidebar, and clone this repository.
  3. Upload the notebooks manually or open them directly from your SageMaker Studio Lab environment.

Alternatively, you can manually upload the notebook:

Open in SageMaker Studio Lab

Notebooks

  • LLM_Model_Notebook.ipynb: Implementation of Large Language Model (LLM).
  • LSTM_Stock_Prediction_Notebook.ipynb: Implementation of LSTM model for stock price prediction.

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This repository contains code for implementing both Large Language Models (LLM) and Long Short-Term Memory (LSTM) models in AWS SageMaker Studio Lab. It includes notebooks for LLM-based applications and LSTM models for stock price prediction.

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