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Create an AI prototyping environment using Jupyter Lab IDE with Typescript, LangChain.js and Ollama for rapid AI prototyping
4 projects | dev.to | 2 May 2024

Download the notebook containing the app's prototype into the C:\Users\YourUser\jupyter directory. Select the downloaded notebook from JupyterLab's file browser (left panel on the screen), then select the "Clear Outputs of All Cells" from the "Edit" menu to remove all the saved outputs from the cell, then click on the "Run all cells" menu item from the "Run" menu. After some processing, the results of the comparison should be visible above the last cell:
Let’s build AI-tools with the help of AI and Typescript!
5 projects | dev.to | 23 Apr 2024

Nowadays, I can develop apps like this in Typescript easily, as the barrier is lower than ever before, much lower. We only need Typescript development skills for developing AI-tool prototypes, additionally, if you are an experienced frontend developer, you can easily convert your prototypes into real applications with a user interface. This is the prototype of the Text reviewer app in the Jupyter Lab IDE (downloadable Jupyter notebook):