AI Tutorials

A complete guide to using the SOLAR-10.7B fine-tuned model for instruction-based tasks in a real-world scenario.

Learn how to use Gemini Python API and its various functions to build AI-enabled applications for free.

Explore the groundbreaking technique of Low-Rank Adaptation (LoRA) in our full guide. Discover how LoRA revolutionizes the fine-tuning of Large Language Models.

Dive into the essentials of backpropagation in neural networks with a hands-on guide to training and evaluating a model for an image classification use scenario.

Learn everything about Zephyr-7B, including its training, how to access it, and how to fine-tune it on a custom database using free Kaggle GPUs.

Learn how to easily install and use Stable Diffusion Web UI for generating high-quality images on your laptop.

This guide walks you through the basics of the ChatGPT API, demonstrating its potential in natural language processing and AI-driven communication.

Discover the power of prompt engineering in LangChain, an essential technique for eliciting precise and relevant responses from AI models.

A comprehensive overview of the Assistants API with our article, offering an in-depth look at its features, industry uses, setup guidance, and best practices to maximize its potential in various business applications.

OpenAI’s TTS API is an endpoint that enables users to interact with their TTS AI model that converts text to natural-sounding spoken language.

A tutorial on integrating Google SERP, DuckDuckGo, Wikipedia, and YouTube into GPT models using Python and LangChain tools.

See how a confusion matrix categorizes model predictions into True Positives, False Positives, True Negatives, and False Negatives. Keep reading to understand its structure, calculation steps, and uses for handling imbalanced data and error analysis.