Llama 2 Tutorial: Build an AI App with Clarifai Integration

Introduction

Clarifai is an innovative platform that empowers users to discover, build, and share AI models, workflows, and app components. It serves as an excellent low-code, no-code solution for developers eager to create AI-driven applications. Among the advanced offerings on Clarifai, the Llama-2 series stands out as a cutting-edge tool for enhancing conversational AI experiences.

Understanding Llama-2 and Its Capabilities

The Llama-2 series consists of pre-trained and fine-tuned Large Language Models (LLMs) developed by the Meta AI research team. Building upon the achievements of its predecessor, Llama-1, Llama-2 embodies improvements aimed at boosting performance and safety. These models are adept at tackling complex reasoning tasks across various fields, particularly excelling in dialogue-based scenarios such as chatbots and conversational applications.

Features of Llama 2-Chat

Specifically optimized for dialogue, the Llama 2-Chat models, including the impressive 70B version, have been trained on extensive datasets, encompassing chat logs and social media interactions. This training allows for an understanding of context, enabling the generation of human-like responses. Fine-tuning processes also ensure that the outputs are safe, helpful, and aligned with user expectations.

Advantages of Llama 2-Chat Models

Enhanced Context Understanding: The Llama-2 models feature a longer context window compared to Llama-1, facilitating the processing of more information which is vital for longer conversations.
Diverse Applications: Llama-2-Chat can serve multiple domains, from travel advice and educational support to mental health assistance and personal assistant functionalities.
Safety Measures: The model includes protocols to mitigate the risk of generating harmful or biased content, making it suitable for production use.

Creating Your First AI Application on Clarifai

To harness the power of Clarifai and the Llama 2-Chat model, follow these straightforward steps:

1. Create an Account on Clarifai

Begin by visiting the Clarifai website and either create a new account or log in if you already have one.

2. Create a New App

Once logged in, you’ll be directed to the dashboard. Click on the Create an App button. You will then need to name your app and provide a short description before clicking Create App. If successful, you will be redirected to the app page where you can also add a cover image.

3. Create a New Workflow

Navigate to the Workflows section in the left sidebar and click on the Create Workflow button. In this no-code environment, you can construct your workflow:

Change the default workflow name to something recognizable, like Llama2TutorialWorkflow.
Find the Text-to-text component from the left sidebar, drag it onto the canvas, and connect it with 'IN'.
Select the llama2-70b-chat model from the dropdown in the right sidebar and save your workflow.

4. Test Your Workflow

To test your newly created workflow, click on the + button and input a question such as I have a headache. What should I do? Click on the Submit button and wait for the model’s response. You can view the raw JSON response by clicking on View JSON.

Diving Deeper: Creating a New Module

To enhance your experience, follow these additional steps:

1. Create a New Streamlit App

Open Visual Studio Code and create a new file named app.py. Here, you will structure a simple UI for your application. Copy and paste the provided code snippet into this file.

2. Call the Workflow via API

Head back to your Llama2TutorialWorkflow, select Use Workflow, and then choose Call by API. Click Copy Code and paste it into a new file named llama.py. Modify the code as instructed.

3. Prepare Requirements

Create a requirements.txt file, listing all the necessary packages.

4. Create a GitHub Repository

Initiate a new GitHub repository and push your code to this repository.

5. Create a Module in Clarifai

In your Clarifai app page, select Modules from the sidebar and hit the Create Module button. Fill in the necessary details and include your GitHub repository URL, ensuring the correct branch is specified before clicking on Create Module Version.

Conclusion

After a brief wait, your module will be ready for use. You can now test your app and explore its capabilities. With the integration of Llama 2-Chat models on the Clarifai platform, you are well-equipped to build powerful AI applications that can enhance user interactions and streamline processes.

Meta Description

Learn how to create AI-powered applications using Clarifai and Llama-2-Chat models. Step-by-step guide on setting up your account, creating workflows, and testing your app.