OpenAI has developed various transformer-based models capable of performing various NLP tasks. GPT-4 and GPT-3.5 are its latest model offerings that can generate human-like text for a diverse range of NLP applications. These models can be used for a wide array of tasks such as text classification, text-to-speech and image classification and object recognition. You can refer to the official documentation for a detailed description of various models and their capabilities.
In the next video, your SME will provide an introduction to the session and a basic overview of various OpenAI models.
As mentioned in the video, in addition to the language models (such as GPT-3.5 and GPT-4), OpenAI also offers a range of APIs and models that cater to different needs and applications. These have been discussed below:
- DALL-E2 API: DALL-E is an AI model that generates unique images based on textual descriptions. The API enables developers to create applications that can generate novel images based on user input, opening up possibilities in areas such as art, design and visual content generation.
- OpenAI Moderation API: This API is specifically designed to help with content moderation tasks. It analyses and filters text to identify potential instances of inappropriate or unsafe content, assisting in creating safer online environments.
- OpenAI Whisper API: The Audio API is focused on generating and processing audio. It allows developers to convert text into speech, perform text-to-speech synthesis and enhance audio quality through noise reduction and other audio processing techniques.
In the upcoming sessions, we will focus exclusively on the GPT-3.5 family of models for language-generation tasks.
In this course, we will focus exclusively on the GPT-3-5 family of models throughout the OpenAI models are continuously updated, and in some cases,older models are discontinued as the capabilities of the newer models increase. As a developer working on GPT-3.5 models, you will need to pay close attention to the various model updates before creating Generative AI applications that incorporate these models. You may refer to the official documentation to keep track of the updates to OpenAI models.
In the upcoming segments, you will learn how to use the OpenAI APIs with Python to create useful applications.