AI Tutorials

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

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.

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.

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 the nuances of AI moderation with our in-depth guide on utilizing ChatGPT for moderating responses in GPT-based applications.

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

Explore the functionalities of Weaviate, an open-source, real-time vector search engine, with our comprehensive beginner's guide.

Learn how to run Alpaca-LoRA on your device with this comprehensive guide. Discover how this open-source model leverages LoRA technology to offer a powerful yet efficient AI chatbot solution.

This tutorial provides an introduction to causal AI using the DoWhy library in Python. It discusses fundamental principles and offers code examples.

Learn how OpenAI's new Function Calling capability enables GPT models to generate structured JSON output, resolving common dev issues caused by irregular outputs.