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In this step-by-step tutorial, you'll build a neural network from scratch as an introduction to the world of artificial intelligence (AI) in Python. You'll learn how to train your neural network and make accurate predictions based on a given dataset.
- Linear Regression in Python
You’re living in an era of large amounts of data, powerful...
- Matplotlib
The issue here may be apparent to some Python users: using...
- NumPy
NumPy is a Python library that provides a simple yet...
- Random
Introduced in Python 3.6 by one of the more colorful PEPs...
- Jupyter Notebook
In this step-by-step Python tutorial, you learn how to get...
- Face Recognition
Project Overview. Your program will be a typical...
- Object-Oriented Programming
Object-oriented programming (OOP) is a method of structuring...
- Virtual Environment
This command creates a new virtual environment named venv...
- Linear Regression in Python
Jun 10, 2024 · In this AI with Python tutorial, you'll explore the fundamental and advanced concepts of artificial intelligence (AI) using the Python programming language. Whether you're a complete beginner or an experienced professional, this tutorial is tailored to meet your learning needs, offering a step-by-step approach to mastering AI techniques with ...
Jun 6, 2024 · Python offers a plethora of libraries and frameworks for building AI applications. Choose the ones that best suit your project requirements. Common choices include: TensorFlow and PyTorch: For deep learning models. scikit-learn: For traditional machine learning algorithms. NLTK and spaCy: For natural language processing.
- What Is OpenAI?
- What Is OpenAI API?
- Generate OpenAI API Key
- Installation of OpenAI Package
- Prompt Engineering
- Text
- Chat
- Image
- Audio
- Embeddings
OpenAI is a Leading Company in the field of Artificial Intelligence(AI) . It was originally founded in 2015 by Sam Altman and Elon Musk as a Non-profit Organization. They primarily focus on AI-based Software products Such as ChatGPT 3 , ChatGPT 4 and DALL-E etc. They develop next-generation AI products holding incredible capabilities, for example, ...
OpenAI API is a powerful cloud-based platform, hosted on Microsoft’s Azure , designed to provide developers with seamless access to state-of-the-art, pre-trained artificial intelligence models. This API empowers developers to effortlessly integrate cutting-edge AI capabilities into their applications, regardless of the programming language they cho...
For you to use OpenAI’s models in your Python environment, you must first generate an API key. You can follow the below steps to generate the API key:
Step 1: Now open a text editor of your choosing or an online notebook like Google Colab or Jupyter Notebook . Here, we’re using a Google Colab notebook to run the command indicated below in order to install the Open AI library in Python. Step 2: Now import the OpenAI library in your Python environment and add your API key to the environment by exec...
Giving the AI brain a unique set of instructions to increase its intelligence and responsiveness is what AI prompt engineering entails. To comprehend what we want from AI models like ChatGPT or GPT-4, they need to be gently nudged in the right direction. Prompt engineering can help with it. The finest answers from the AI may be ensured by carefully...
For performing any text-specific tasks you can define the following function and execute it with your desired prompts. Here we generated text for the user prompt using the Completions module from the OpenAI library. These are the crucial variables related to the Completions module: 1. model [required]: The following openai command can be used to de...
For performing any chat specific tasks you can define the following function and execute it with your desired prompts. Here, we have used the Chat Completion module from OpenAI library to execute chat specific tasks using ChatGPT model. Here are the important parameters involved with Chat Completion module: 1. model [required]: ID of the appropriat...
We can perform Image generation and Image editing using DALL-E model of OpenAI. Before we begin, let’s import some image-processing libraries. Now we construct a function to produce an image using the DALL E API’s “create” endpoint. An argument string is passed to the API endpoint by the aforementioned function. Other parameters are n (the “number ...
There are 2 modules available for Whisper module: 1. Transcribe: This module transcribes your audio file into the input language. Model parameters for this module are: 1. file [required]: The audio file to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm. 2. model [required]: ID of the model to use. Only whisper-1 is cur...
The embeddings module is used to obtain a vector representation of a given input that machine learning models and algorithms can quickly consume. We will write a function to generate these vectors using OpenAI API. Our API employs the “text-embedding-ada-002” model, a member of OpenAI’s second generation of embedding models. This model produces emb...
May 21, 2024 · Today, we are covering 25 side projects that you can build using Python and AI models. Most of the projects will have a production-level code so you can learn a lot. Let's do it!
Aug 10, 2021 · OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript, and even Shell. It has a memory of 14KB for Python code, compared to GPT-3 which has only 4KB—so it can take into account over 3x as much contextual information while performing any task.
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OpenAI API Quickstart - Python. This repository hosts multiple quickstart apps for different OpenAI API endpoints (chat, assistants, etc). Check out the examples folder to try out different examples and get started using the OpenAI API.
