OpenAI is a technology company founded in December 2015 by partners that include Elon Musk. He is best known for his leadership of the Tesla electric car company and the SpaceX space exploration company. Open AI, based in San Francisco, CA, aims to promote artificial intelligence through an open, collaborative model.
The more technology permeates various industries, the more valuable programming as a skill becomes. However, even for experts who have been in the profession for years, mastering any programming language from scratch takes a significant amount of time and effort.
Wouldn’t it be wonderful if computers could understand plain English and do what you told them? Instead of hacking away at a terminal for hours on end, one company believes AI is the key to more straightforward and faster computer communication.
OpenAI aims to ensure Artificial General Intelligence (AGI). We mean fully autonomous, autonomous systems that are more efficient than humans at tasks with the highest economic value will benefit all of humanity.
We’ll try to direct develop safe and helpful AGI. However, we will think of our work as a success if our work assists others in reaching this goal.
What is GPT-3 OpenAI?
GPT-3, also known as the 3rd generation of Generative Pre-trained Transformer. It is a neural network-based machine learning model trained with internet data to generate written text. Created by Open AI, it requires just a small volume of input data to produce large volumes of highly relevant and advanced machine-generated text.
9-months have passed since the launch of our first commercially available product. With the Open AI API, more than 300 applications are using GPT-3. Hundreds of thousands of developers worldwide are developing using our platform. We currently produce an average daily volume of 4.5 million words per day and we continue to grow production traffic.
GPT-3 can return the text’s completion using natural languages when given any text prompt such as the word or phrase. Developers can “program” GPT-3 by showing only a few instances as “prompts.” We’ve designed the API to be simple for anyone to use. However, it is also adaptable enough to help machine learning teams be more efficient.
how to use GPT-3?
Developers can now tweak GPT-3 using their data to create the perfect version for their specific needs. With the customization feature, GPT-3 can be made more reliable, handle a wider variety of applications, and make the process more productive and less expensive.
You can use an existing data set of any shape or size or add data incrementally in response to user feedback. By fine-tuning the API, one API customer could increase the accuracy of outputs from 83% to 95%. With the addition of new data from their products each week, another customer reduced errors by 50%.
To begin, start a single operation in OpenAI. First, you need to use the OpenAI command-line application to upload the file. Your version will start training and be available within minutes within our API.
How to modify GPT-3 to fit your Application needs.
pip install --upgrade openai
Train a custom model.
openai api fine_tunes.create -m ada --n_epochs 2 \ -t https://cdn.openai.com/API/train-demo.jsonl
Use the custom model.
openai api completions.create -m \ --max-tokens 30 --temperature 0 --stop ”###” \ -p $'Conecte la PS3 y vaya a Configuración>Configuraciones de Red, seleccione la red y escriba sus credenciales.\nEnglish translation:'