Multimodal AI is a field of Artificial Intelligence (AI) that combines various data types (modalities), such as text, image, video, audio, etc., to achieve better performances. Most traditional AI models are unimodal, i.e., they can process only one data type. They are trained, and their algorithms are tailored only for that modality. An example of an unimodal AI system is ChatGPT. It uses natural language processing to understand and extract meaning from textual data. Moreover, it can only produce text as output.
On the contrary, Multimodal AI systems can handle multiple modalities simultaneously and produce more than one output type. The paid version of ChatGPT, which uses GPT-4, is an example of multimodal AI. It can handle not only text but also images and can process different files such as PDF, CSV, etc.
In this article, we will discuss the recent advancements made in the field of Multimodal AI.
ChatGPT + DALLE 3
DALLE 3 represents the latest advancement in OpenAI’s text-to-image technology, marking a significant step forward in AI-generated art. The system’s ability to understand the context of the user prompts has increased, and it can better comprehend the details provided by the user.
From the above image, we can clearly see that the model is able to capture all the details of the prompt to create a comprehensive image that adheres to the entered text.
DALL·E 3 is integrated directly into ChatGPT, enabling seamless collaboration. When given an idea, ChatGPT effortlessly generates specific prompts for DALL·E 3, giving life to the user’s concepts. If users want adjustments to an image, they can simply ask ChatGPT with a few words.
Users can request assistance from ChatGPT to create a prompt that DALL·E 3 can use for generating artwork. Even though DALL·E 3 can still handle users’ specific requests, with ChatGPT’s help, AI art creation becomes more accessible to all.
Google BARD + Extensions
BARD, a conversational AI tool developed by Google, recently received significant enhancements through extensions. These improvements enable BARD to connect with various Google apps and services. With Extensions, Bard can fetch and display relevant information from your everyday Google tools, such as Gmail, Docs, Drive, Google Maps, YouTube, Google Flights, and hotels.
BARD can assist even when the needed information spans multiple apps and services. For instance, when planning a trip to the Grand Canyon, users can now ask BARD to find dates from Gmail, provide current flight and hotel details, offer directions on Google Maps to the airport, and even share YouTube videos about activities at the destination, all within a single conversation.
Claude + File Upload
Claude is an AI chatbot developed by Anthropic that is easy to converse with and is less likely to produce harmful outputs. Claude 2 has improved coding, math, and reasoning performance and can produce longer responses. Apart from these features, Claude also has the ability to process different documents like PDF, DOC, CSV, etc. Claude 2 can analyze up to five documents of up to 100,000 tokens for analysis.
DeepFloyd IF
DeepFloyd IF is a powerful text-to-image model developed by Stability AI. It is a cascaded pixel diffusion model that generates images in a cascading manner. Initially, a base model produces low-resolution samples, and then a series of upscale models boost the image to create high-resolution images.
DeepFloyd IF is highly efficient and outperforms other leading tools. It demonstrates that larger UNet structures can enhance image generation tools, indicating a promising future for transforming text into images.
DeepFloyd IF’s base and super-resolution models utilize diffusion models, which involve introducing random noise into the data using Markov chain steps and then reversing this process to create new data samples from the noise.
ImageBind
ImageBind, created by Meta AI, is the first AI model that can combine data from six types without direct guidance. This innovation improves AI by recognizing their connections by allowing machines to understand and analyze various kinds of information, such as images, video, audio, text, depth, thermal, and IMUs.
Some of the capabilities of ImageBind are:
It can immediately propose audio based on an image or video input. This can be used to improve an image or video by adding relevant audio, like including the sound of waves to a beach image.
ImageBind can instantly generate images using an audio clip as input. For instance, if we have an audio recording of a bird, the model can create images depicting what that bird could resemble.
Individuals can quickly find related images by using a prompt that links audio and images. This could be handy for locating images connected to a video clip’s visual and auditory aspects.
CM3leon
CM3Leon is an advanced model for generating text and images. It’s a versatile model that can create images from text and vice versa. CM3Leon excels in text-to-image generation, achieving top performance while using only a fraction of the training compute compared to similar methods.
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References:
https://www.techtarget.com/searchenterpriseai/definition/multimodal-AI
https://twitter.com/Saboo_Shubham_/status/1706324564475552187
https://dataconomy.com/2023/09/21/openai-dall-e-3-how-to-use-chatgpt/
https://blog.google/products/bard/google-bard-new-features-update-sept-2023/
https://www.anthropic.com/index/claude-2
https://stability.ai/blog/deepfloyd-if-text-to-image-model
https://www.deepfloyd.ai/deepfloyd-if
https://arxiv.org/abs/2309.02591
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Multimodal AI is a field of Artificial Intelligence (AI) that combines various data types (modalities), such as text, image, video, audio, etc., to achieve better performances. Most traditional AI models are unimodal, i.e., they can process only one data type. They are trained, and their algorithms are tailored only for that modality. An example of
The post Latest Advancements in the Field of Multimodal AI: (ChatGPT + DALLE 3) + (Google BARD + Extensions) and many more…. appeared first on MarkTechPost. Read More AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, Staff, Tech News, Technology, Uncategorized