AI Tutorials

Discover how to use DALL-E 3 to create images. DIscover what DALL-E 3 is, its key features, and how to use prompts to get the best results.

The tutorial covers accessing, quantizing, fine-tuning, merging, and saving this powerful 7.3 billion parameter open-source language model.

A complete guide to fine-tuning a FLAN-T5 model for a question-answering task using transformers library, and running optmized inference on a real-world scenario.

A complete guide to running the Vicuna-13B model through a FastAPI server.

This tutorial will introduce you to everything you need to know about GPT-4 Vision, from accessing it to, going hands-on into real-world examples, and the limitations of it.

Discover seven NLP project ideas for all levels. Strengthen your portfolio, showcase your NLP skills, and impress employers with these hands-on projects.

In this post, we will explore the architecture, training data, features, and how to run inference and fine-tune the Falcon 40B model.

Learn how to fine-tune Llama-2 on Colab using new techniques to overcome memory and computing limitations to make open-source large language models more accessible.

This tutorial introduces you to the OpenAI API, it's use-cases, a hands-on approach to using the API, and all the best practices to follow.

Explore GPT-3.5 Turbo and discover the transformative potential of fine-tuning. Learn how to customize this advanced language model for niche applications, enhance its performance, and understand the associated costs, safety, and privacy considerations.

The tutorial answers the most frequently asked questions about deep learning and explores various aspects of deep learning with real-life examples.

Dive deep into the Contrastive Captioner (CoCa) model, an advanced image-text foundation model in machine learning.