Intro to GPT Models

GPT models (Decoders) play a crucial role in generating subsequent words in tasks like text translation or story generation, providing outputs along with their probabilities. They utilize attention mechanisms twice during training: initially, Masked Multi-Head Attention, where only the beginning of a target sentence is revealed, and later, Multi-Head Attention, similar to encoders. In traditional transformer models, decoders interact with encoders by using the encoder’s outputs to assist in tasks like sentence translation. However, GPT models adopt a unique approach by relying solely on a decoder, compensating for the absence of an encoder through extensive training on large datasets. This allows for embedding a vast amount of knowledge within the decoder. ChatGPT further advances these techniques by integrating human-labeled data to address issues such as hate speech and employing Reinforcement Learning for enhanced model quality.

Notebooks - Basics

Notebooks - Applications

Notebooks - FineTuning

Notebooks - Agents

CrewAI Streamlit App

Flowiseai Framework

Here’s a Simple Step-by-Step Tutorial for Installing Docker on Mac and Windows, and Running the flowiseai/flowise:latest Docker Image on Port 3000

Step 1: Install Docker

For Mac:

  1. Download Docker Desktop:

  2. Install Docker Desktop:

    • Open the downloaded .dmg file.
    • Drag the Docker icon to your Applications folder.

  3. Start Docker:

    • Open Docker Desktop from the Applications folder.
    • Follow the on-screen instructions to complete the setup.

  4. Verify Installation:

    • Open the Terminal and run:
      docker --version
    • You should see the Docker version information.

For Windows:

  1. Download Docker Desktop:

  2. Install Docker Desktop:

    • Run the downloaded installer.
    • Follow the setup instructions. Ensure “Install required components for WSL 2” is selected.

  3. Start Docker:

    • Open Docker Desktop.
    • Follow the setup process to configure Docker.

  4. Verify Installation:

    • Open Command Prompt or PowerShell and run:
      docker --version
    • You should see the Docker version information.

Step 2: Pull and Run flowiseai/flowise:latest Image

1. Pull the Docker Image:

  • Open a terminal or command prompt and run:
    docker pull flowiseai/flowise:latest

2. Run the Docker Image:

  • Run the following command to start the container on port 3000:
    docker run -d -p 3000:3000 flowiseai/flowise:latest
  • Explanation:
    • -d: Runs the container in detached mode (in the background).
    • -p 3000:3000: Maps port 3000 of your machine to port 3000 in the container.

3. Access Flowise AI:

  • Open your web browser and go to:
    http://localhost:3000

Streamlit app

Resources