Speech recognition is the ability of a computer to convert spoken language into written text. With the help of Python and the Google Cloud API, you can easily create a speech recognition app that can transcribe audio files or live speech. In this tutorial, you will learn how to create Continue Reading
“Machine Learning”
How to use LLMs for natural language understanding and generation
Introduction Language Models (LMs) have revolutionized natural language processing by providing powerful tools for understanding and generating human language. Recently, a new type of language model called Large Language Models (LLMs) has emerged, which utilizes deep learning techniques to achieve state-of-the-art performance on a wide range of language tasks. In Continue Reading
How to Create a Image Recognition App with OpenAI CLIP and Python
How to Create an Image Recognition App with OpenAI CLIP and Python Image recognition is a popular field in computer vision, enabling machines to understand and interpret visual information. OpenAI’s CLIP (Contrastive Language-Image Pretraining) is a powerful deep learning model that combines text and image knowledge to perform zero-shot image Continue Reading
Building neural networks with TensorFlow
Artificial Neural Networks, also referred to as neural networks or ANNs, are a subset of machine learning models that are designed to recognize patterns and relationships in data. They are modeled after the human brain and consist of a series of interconnected nodes that process and transmit information. TensorFlow is Continue Reading
How to Create a Image Search Engine with OpenAI CLIP and Python
How to Create an Image Search Engine with OpenAI CLIP and Python In today’s digital world, image search engines play a crucial role in various applications like e-commerce, content management systems, and social media platforms. Traditional methods for image search rely on text-based metadata or manually annotated tags, which can Continue Reading
How to Build a Text-to-Image App with OpenAI GPT-3 and Google Cloud API
In this tutorial, we will walk through the process of building a text-to-image application using the power of OpenAI GPT-3 and the Google Cloud Vision API. With GPT-3, we can generate human-like text descriptions of images, and with the Google Cloud API, we can turn those text descriptions into actual Continue Reading
How to Build a Question Answering System with OpenAI GPT-3 and Python
In this tutorial, we will learn how to build a question answering system using OpenAI GPT-3 and Python. OpenAI GPT-3 is a powerful language model that can generate human-like text and answer questions based on the given context. To build the question answering system, we will use the OpenAI Python Continue Reading
How to use LLMs for text summarization and expansion
Introduction Language models have revolutionized the field of natural language processing by providing powerful tools for tasks like text generation, translation, and summarization. One popular type of language model is the Long-Short Term Memory (LSTM) model, which is a type of Recurrent Neural Network (RNN). In this tutorial, we will Continue Reading
How to Use NLTK for Text Analysis in Python
Text analysis is the process of extracting meaningful information from a given text. It involves tasks such as tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and more. Natural Language Toolkit (NLTK) is a powerful library in Python that provides various tools and resources for text analysis. In this tutorial, Continue Reading
How to Create a Object Detection App with Python and YOLOv3
How to Create an Object Detection App with Python and YOLOv3 In this tutorial, we will learn how to create an object detection app using Python and the YOLOv3 (You Only Look Once) algorithm. Object detection is a computer vision task that involves the detection and localization of objects in Continue Reading