Open Source Multimodal A.I
you’re about to experience the next new thing in AI, because it’s “multimodal,” so keep on reading if you want to learn more. Multimodal AI is the next step in extending and integrating the capabilities of artificial intelligence.
So, What Is Next-GPT?
The National University of Singapore and Tsinghua University created the new open-source multimodal Next-GPT large language model (LLM), which is currently under development and has the potential to transform how we engage with AI.
LLMs are trained on enormous text and code datasets, allowing them to pick up on the nuances of human language. This makes it possible for them to carry out a wide range of activities, such as translation, the creation of various types of creative content, and the informative response to inquiries.
The Next-GPT is multimodal, which sets it apart from existing LLMs. This indicates that it has the ability to process and produce content in a range of modalities, including text, images, audio, and video. Due to its greater versatility compared to other LLMs.
When Will Next-GPT Be Available?
Next-GPT is still under development, but the researchers have released a demo version that is available to the public. The demo version (see below) is currently limited to a subset of tasks, but it gives a good taste of what Next-GPT is capable of.
How Does Next-GPT Work?
Although Next-GPT is based on the GPT-3 language model, it has undergone a number of changes to become multimodal. The incorporation of multimodal adapters is one of the main improvements. Next-GPT can process and produce material in various modalities thanks to these adapters.
When Next-GPT receives an image as input, for instance, it will utilize its image adapter to encode the image into a representation that it can understand. Following that, it can create text that explains the image or create a new image that is comparable to the input image using this representation.
Diffusion decoders are an important new component to Next-GPT. Next-GPT is able to provide content in many modalities sequentially thanks to these decoders. For instance, Next-GPT can use its diffusion decoder to generate one frame at a time if it is creating a video.
If you truly want to comprehend how it operates, read this research article from the National University of Singapore:
Next-GPT PDF
Or, for the tamer but more interactive version, you can go here: GitHub.
How To Use Next-GPT
There is currently no official documentation available for Next-GPT because it is still in development. However, as I already mentioned, people can test out Next-GPT on the researchers’ demo webpage.
Visit the demo website and choose the modality you want to utilize to start using Next-GPT. The next step is to type a prompt or supply an input file. The chosen modality’s material will subsequently be produced by Next-GPT.
Try out the demo version here: Gradio
Examples Of What Next-GPT Can Do
Several tasks can be accomplished with Next-GPT, including:
Text creation: Next-GPT is capable of producing text in a range of styles, including articles, poems, code, and scripts. Additionally, it can translate text between languages.
Image creation: Next-GPT can create new images or change ones that already exist. Additionally, it has the ability to create visuals from text descriptions.
Audio creation: Next-GPT is capable of producing audio, including speech, sound effects, and music. Additionally, it has the ability to produce audio from written descriptions.
Video creation: Next-GPT can create new videos from scratch or edit already-existing ones. Additionally, it has the ability to create films from text descriptions.
Check out this YouTube video to see it in action.
Potential Applications
There are numerous potential uses for Next-GPT, including:
Production of artistic material: Next-GPT can be used to produce artistic material, including songs, stories, and poems. It can also be utilized to come up with fresh suggestions for goods and services.
Education: Students’ educational experiences can be tailored with Next-GPT. Additionally, it can be used to create teaching materials and give students feedback.
New forms of entertainment can be produced using Next-GPT, including interactive games and movies. Additionally, it can be utilized to provide customized entertainment for users.
Customer support: Chatbots that can help customers can be made using Next-GPT. Additionally, it can be utilized to create customized consumer suggestions.
Conclusion
Next-GPT has the potential to completely change how we engage with AI. Even though it is still in development, it has already demonstrated some astounding qualities. The open-source licensing and multimodal capabilities of Next-GPT give it the potential to be a significant player in the AI industry.
Prepare to bid farewell to the way that people have typically utilized the Internet. Machine learning and automated informational presentation (AIP) will be strengthened by multimodal AI.
Please comment with your thoughts about Next-GPT.
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