AI platform

Getting Started with Clarifai: A Complete Guide for Beginners

Step-by-step illustration of getting started with Clarifai AI platform.

Getting Started with Clarifai: Your Guide to AI

Clarifai provides a comprehensive platform with all the tools you need to build, deploy, and test production scale AI. It addresses the full life cycle of AI solutions, covering data preparation, model development, testing, evaluation, and deployment without needing specialized MLOps knowledge. Whether you’re just starting out or are an experienced AI professional, Clarifai offers an intuitive platform that includes a user-friendly interface and a robust API for deeper integrations.

What is Clarifai?

Clarifai is an all-in-one AI platform designed to streamline end-to-end AI workflows. It allows both beginners and experienced professionals to manage, organize, and deploy AI resources efficiently. Its key features include:

  • Centralized Management: Consolidate all AI resources in one place.
  • Data Preparation: Effortlessly build high-quality training datasets with automated data labeling.
  • Flexible Deployment: Deploy AI models in the cloud, on-premises, edge devices, or air-gapped environments.
  • Diverse AI Models: Choose from hundreds of pre-trained models or create custom models tailored to specific requirements.

With Clarifai, stepping into the future of AI becomes straightforward and effective.

Step-by-Step Guide to Using Clarifai

1. Setup & Verification

Step 1.1: Account Setup
If you're new to Clarifai, click here to set up your account. Existing users can click here to log in.

Step 1.2: Email Verification
After creating an account, check your email for a verification link. Clicking on this link will redirect you to the Portal, where you can complete your profile setup.

2. Your First AI Predictions

Step 2.1: Access "my-first-application"
Once logged in, navigate to your apps listing page. You should see a pre-existing application named "my-first-application." Click on it to access its individual page.

Step 2.2: Upload an Image
On your application's page, select the Inputs option from the collapsible left sidebar, then click on Upload inputs. You can either upload files from your device or provide a public URL. Clarifai supports images, videos, and text inputs.

Step 2.3: Make a Prediction
After uploading, your image will appear on the inputs manager page. Click on it to view details. Change the page mode to Predict using the settings at the top-right, select the General workflow (or any other from the community), and your predictions will display in the right sidebar.

3. Creating a Custom Model

For a tailored experience, you can build custom models in Clarifai:

Step 3.1: Uploading Training Data
Navigate to the Inputs section on the left sidebar and upload your training data. Annotate your inputs by adding tags or keywords (e.g., label a dog image as "dog").

Step 3.2: Build & Train Your Model
Select Models from the sidebar and click on Add Model. You can choose to import pre-trained models, build a custom model, or import from Hugging Face. To train your custom model, click on Build a Custom Model and provide necessary information.

4. Using Clarifai API

The Clarifai API enables robust communication between your application and the platform. Access the API via https://api.clarifai.com. While you can directly interact using RESTful requests, consider utilizing one of Clarifai’s official client libraries for ease of use.

5. Building a Project with Llama 2 Model

To utilize the Llama 2 model:

  • Log in to the Clarifai platform.
  • Go to the Community section and choose the Llama 2 model.
  • Select the Python API Client to integrate the model into your project.

For a comprehensive guide, check the provided video tutorial on using the Llama 2 model.

6. Further Assistance

If you need in-depth tutorials on creating workflows using the API, explore pre-built educational materials on the event page or attend the Kickoff sessions for live support.

By following this guide, you can effectively get started with Clarifai and unlock the potential of AI for your projects.

阅读下一篇

Tutorial on using EasyOCR for text extraction and GPT-3 for summarization.
A screenshot of chatbot conversation using TruLens and Langchain for evaluation.

发表评论

所有评论在发布前都会经过审核。

此站点受 hCaptcha 保护,并且 hCaptcha 隐私政策服务条款适用。