Azure Machine Learning is a cloud-based machine learning service provided by Microsoft that enables users to build, deploy, and manage machine learning models at scale. It provides a range of tools and frameworks that make it easier to create, use and manage machine learning models. This tutorial will provide an Continue Reading
“Machine Learning”
How to Use OpenAI CLIP for Image Classification
Image classification is a fundamental task in computer vision that involves assigning labels or categories to images based on their visual content. OpenAI CLIP is a powerful deep learning model that combines vision and language to perform various tasks, including image classification. In this tutorial, we will explore how to Continue Reading
How to use LLMs for natural language inference and reasoning
How to Use Language Model Logics (LLMs) for Natural Language Inference and Reasoning Introduction Natural Language Inference (NLI) and reasoning tasks are crucial for many natural language processing applications, such as question answering, information retrieval, and dialogue systems. However, traditional methods often struggle to accurately understand and reason about the Continue Reading
How to use LLMs for text ranking and scoring
How to Use Language Models for Text Ranking and Scoring Language Models (LMs) have become powerful tools in Natural Language Processing (NLP) tasks such as text generation, sentiment analysis, and machine translation. Lately, LMs have also gained popularity in text ranking and scoring applications. In this tutorial, we will explore Continue Reading
How to Use OpenAI Codex for Code Generation
OpenAI Codex is a powerful language model developed by OpenAI that can understand and generate code in various programming languages. It has been trained on a vast amount of code from the internet and can be used for a wide range of tasks, including code completion, code generation, and even Continue Reading
How to Build a Text Classifier with OpenAI GPT-3 and Django
In this tutorial, we will explore how to build a text classifier using OpenAI GPT-3, one of the most advanced language models available today, and integrate it with Django, a powerful and popular web framework written in Python. By the end of this tutorial, you will be able to create Continue Reading
How to use LLMs for text generation and verification
In the field of natural language processing (NLP), large language models (LLMs) have gained significant attention and popularity over the past few years. These models, often based on deep learning techniques, are able to generate high-quality text that is virtually indistinguishable from human-written content. LLMs can also be used for Continue Reading
How to use LLMs for semantic parsing and knowledge graph construction
How to Use Language Model to Construct Knowledge Graphs and Perform Semantic Parsing In this tutorial, we will explore how to use Language Models (LMs) for semantic parsing and knowledge graph construction. Semantic parsing is the process of converting natural language into a structured representation that can be understood by Continue Reading
How to Use OpenAI Gym for Policy Gradient Methods
Welcome to this tutorial on using OpenAI Gym for Policy Gradient Methods! In this tutorial, we will explore how to use the OpenAI Gym library to implement and test policy gradient algorithms. Introduction Policy gradient methods are a popular approach in the field of reinforcement learning (RL) for solving sequential Continue Reading
How to Create a Face Mask Detection App with Python and TensorFlow
In recent times, face mask detection has become crucial for maintaining public health and safety. By leveraging machine learning and computer vision techniques, we can now build face mask detection apps that can easily identify individuals wearing masks and those who aren’t. In this tutorial, we will walk through the Continue Reading