How To Use Cosine Similarity To Check For Text Similarity
Learn how to make a simple text similarity checker with Python using tools like Beautiful Soup, OpenAI API, and cosine similarity score.
Category: Artificial Intelligence
How To Store Embeddings Into Pinecone Vector Database
Learn how to store vector embeddings into a Pinecone vector database with this simple tutorial, where we scrape and store Twitch TOS.
Tutorial: How To BeautifulSoup For Web Scraping Using Python
Learn from this tutorial how web scraping works with Beautiful Soup and how to summarize text from articles.
How To Use Custom Functions With LangChain Agents
Learn how to implement the new custom function calling in LangChain agents to bring your AI projects to a whole new level.
How To Make A ChatGPT Discord Bot With LangChain
Learn how to make a Discord bot powered by the same model as it is in ChatGPT and give it access to the internet.
How To Make an AI Online Chatbot Using LangChain
Learn how to make an AI online chatbot, which has the capability of retrieving up to date data by using search engines.
How To Use OpenAI GPT Chat Models With API
Learn how to make a powerful chatbot using OpenAI API to access their GPT models and what you can do with them using LangChain library.
How To Generate Music With AI Using Tensorflow
Learn how to make a simple AI model that can generate music in MIDI file format. This example shows how to utilize recurrent neural networks.
CycleGAN Tensorflow Example For Style Translation
Learn how to implement CycleGAN model for image-to-image translations using Tensorflow with Monet paintings and real photographs.
DCGAN Example With Keras and Tensorflow
Learn how to create a deep convolutional generative adversarial network (DCGAN) using Keras and Tensorflow libraries.
What is AdaBoost Algorithm in Machine Learning
Explore the AdaBoost algorithm in machine learning, its advantages and disadvantages, and its practical applications.
What is Confusion Matrix in Machine Learning
Learn about confusion matrix in machine learning for assessing classification models and enhancing prediction accuracy in your projects.