Building END to END LLM Application #artificialintelligence #langchain
Creating an end-to-end application using a Large Language Model (LLM) involves several steps, from setting up the environment and developing the model, to integrating it into a user-friendly application. Below is a high-level outline of the steps involved, with more detailed guidance in each section:
1. Define the Problem and Objectives
Determine the purpose of your LLM application.
Identify the target audience and their needs.
Define the desired outputs and key features.
2. Prepare the Development Environment
Setup: Ensure you have the necessary hardware and software.
Python installed
Virtual environment tools like venv or conda
Видео Building END to END LLM Application #artificialintelligence #langchain канала AjitCv2
1. Define the Problem and Objectives
Determine the purpose of your LLM application.
Identify the target audience and their needs.
Define the desired outputs and key features.
2. Prepare the Development Environment
Setup: Ensure you have the necessary hardware and software.
Python installed
Virtual environment tools like venv or conda
Видео Building END to END LLM Application #artificialintelligence #langchain канала AjitCv2
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5 июля 2024 г. 21:53:51
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