In this technical bog, we provide a comprehensive tutorial on fine-tuning the Llama-3 model, a large language model (LLM), using the Qubrid AI Platform. The platform features an AI Hub with various models, including Llama-3, where users can write a text prompt and receive stunning response from large language models, enhanced natural language understanding, and […]
How to Fine-Tune Meta Llama 3 on Qubrid AI Model Studio Read More »
How to generate synthetic data on Qubrid AI Step 1: Navigate to Qubrid AI – Train | Tune | Deploy and login with your username and password or use google sign-in option. If you do not have an account please create an account,instructions here . Step 2: Upon successful login, you will be navigated to
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Getting Started with Fine-Tuning: Let’s roll up our sleeves and dive into the Qubrid AI platform. Whether you’re a seasoned AI practitioner or a newcomer to the field, Qubrid AI’s intuitive interface makes fine-tuning a breeze. Begin by navigating to the Qubrid AI Hub section. Here, you’ll find a range of pre-trained models ready for
7-Steps to Fine-Tune AI Models On Qubrid AI Model Studio Read More »
What Does Fine-tuning Do? Fine-tuning is a technique used to adapt a pre-trained model to a new task. By providing the model with your specific data, you can significantly improve its performance on your unique use case. What to Expect After Clicking “Fine-tune Notebook” Clicking the “Fine-tune Notebook” button will launch a single instance: On Which Instance
Introduction to Fine-tuning on Qubrid AI Model Studio Read More »
This section guides you through utilizing the QUBRID AI platform’s AI Model Studio to run inference on pre-trained models. Inference refers to the process of using a trained model to make predictions on new data. Getting Started: 6. Paste or upload your query data into the designated input field within the inference interface. 7. Click
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This section guides you through launching compute instances and utilizing Jupyter Notebook for your specific use case on the QUBRID AI platform. Launching a GPU Instance : Notes & Warnings: Launching a CPU Instance Notes & Warnings: Checking for Launched Notebooks (For Both CPU and GPU): If you’re unsure whether a notebook has been launched
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This section explains how to manage your credits on the QUBRID AI platform. Credits are used to pay for resources utilized when launching instances or running notebooks in the AI Model Studio. a. How Credits are Used and Managed Credits are deducted from your wallet whenever you launch a paid instance (excluding the free instance
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a. Create an Account on the Platform To begin using the QUBRID AI Platform, you’ll need to create an account. Here’s a step-by-step guide: 3. Enter your desired username, email address, and a strong password.. 4. Review and agree to the QUBRID AI Terms of Service and Privacy Policy. 5. Click on the “Sign Up”
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Qubrid AI is a platform designed for AI researchers, developers, and enterprises focused on building and deploying cutting-edge AI applications. Our platform provides seamless access to a diverse range of compute resources, enabling users to train, fine tune, and deploy AI models on a serverless GPU cloud. Key Features and Benefits AI Model Studio Accelerate
Welcome to Qubrid AI Platform! Read More »
