Interacting with RAG UI on Qubrid AI Platform

Introduction What is a RAG? Retrieval-Augmented Generation (RAG) is an AI technique that improves the performance of large language models (LLMs) by incorporating external knowledge sources into their responses. Rather than relying solely on static training data, RAG retrieves relevant, real-time, and domain-specific information from external databases or documents, enabling more accurate and contextually relevant […]

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Deploying Hugging Face Models on Qubrid AI Platform

This guide walks you through using Hugging Face models on the Qubrid AI platform, including deployment on instances with on-demand GPUs. Note: Currently, this feature supports only Text Generation (instruct-type) models from Hugging Face. Pre-requisites Finding the Model Name To deploy a model from Hugging Face, you need its model name, which is part of the model’s URL.

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LLM & AI Model Fine-Tuning – Why do it? And what are the techniques offered by Qubrid AI?

Fine-tuning a large language model (LLM) or Stable Diffusion is the process of adjusting its parameters to perform better on a specific task or within a particular domain. While pre-trained models like GPT are great at general language understanding, they may not be as effective when applied to specialized fields. Fine-tuning helps make these models

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How to Fine-Tune Meta Llama 3 on Qubrid AI Model Studio

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

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Introduction to Fine-tuning on Qubrid AI Model Studio

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

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