Happy ‘Deep Dive’ Wednesday,
Brace yourself. The next stage of AI is being ushered in – it’s multimodal AI.
Multimodal AI is a significant step towards more intelligent and versatile AI systems capable of understanding and interacting with the world in a more human-like manner.
In this post, we’re going to give a breakdown of the new functionality that you can take advantage of in ChatGPT and Google Bard, specifically focusing on the interconnectivity between these tools and image observation.
What Is Multimodal AI?
Multimodal AI is a type of artificial intelligence that can understand and generate multiple forms of data inputs, such as text, images, and sound, simultaneously.
And it’s as big of a deal as it sounds.
Multimodal AI systems are trained on large datasets of multimodal data, which allows them to learn the relationships between different modalities and how to fuse them effectively.
Once trained, these systems can be used for a variety of tasks, including:
Image captioning: Generating text descriptions of images.
Text-to-image generation: Generating images from text descriptions.
Video understanding: Summarizing the content of videos, answering questions about videos, and detecting objects and events in videos.
Human-computer interaction: Enabling more natural and intuitive communication between humans and computers.
Robotics: Helping robots better understand and interact with the real world.
This evolution offers substantial potential, especially when it comes to real-world applications.
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A Glimpse into ChatGPT’s Multimodal Capabilities
ChatGPT’s multimodal capabilities allow it to interact with users more naturally and intuitively.
It can now see, hear, and speak, which means that users can provide input and receive responses in various ways.
Image input: Users can upload images to ChatGPT as prompts, and the chatbot will generate responses based on what it sees. For example, you could upload a photo of a recipe and ask ChatGPT to generate a list of ingredients or instructions. We’ll expand on this shortly.
Voice input: People can also use voice prompts to interact with ChatGPT. This can be useful for hands-free tasks, such as asking ChatGPT to play a song while driving.
Voice output: ChatGPT can also generate responses in one of five different natural-sounding voices. This means users can have a more regular and conversational experience with the chatbot.
DALL-E integration: ChatGPT Plus and Enterprise users can now generate images from text descriptions directly within the ChatGPT interface, like this one (“Generate an image of a human chatting with an AI robot”):
Google Bard’s Integrations
While ChatGPT is making waves with its multimodal approach, Google Bard is emerging as a strong contender in the AI sphere.
Many users have noted its proficiency, even going as far as to say that Bard surpasses ChatGPT in certain areas. The argument in favor of Bard often centers on the freshness of its data.
ChatGPT, despite its upcoming versions, relies on slightly outdated data sets (its current knowledge base cuts off at September 2021), which affects its relevancy in up-to-date and evolving topics.
Google Bard boasts integrations with various data sources, such as:
That’s just a handful of the product integrations Google Bard is capable of. Also, because it does not have a knowledge cut-off date, it can access information through Google Search, which means it can communicate more dynamically with tools like Maps and Hotels, providing (almost) real-time updates on queries related to those topics.
A simple query, like seeking insights about a YouTube influencer, can yield detailed results about the channels they operate, their primary content themes, and much more.
The difference in utility between ChatGPT and Google Bard is evident, with each having unique strengths.
Some users lean towards Bard for certain tasks, while ChatGPT remains the go-to for others. The competition between the two ensures that AI tools will continually evolve, offering users enhanced capabilities.
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Both Google Bard and ChatGPT use multimodal AI to describe photos by combining their knowledge of language and images:
This is helpful for marketers because it allows them to generate more accurate and informative descriptions of their products and services.
For example, you could use Bard or ChatGPT to generate a description of a new clothing item that would be more likely to capture the attention of potential customers.
Or, you could use these models to generate descriptions of your products in different languages, which could help you reach a wider audience.
Here are some specific ways that marketers can use Bard and ChatGPT to describe photos:
Generate product descriptions: This can help marketers to increase sales and improve the customer experience.
Create marketing campaigns: A marketer could use these models to generate different ad copy for different social media platforms based on the graphics or images provided.
Improve SEO: Bard and ChatGPT can be used to generate descriptions of photos that are optimized for search engines. This can help marketers improve the ranking of their websites in search results.
The Road Ahead for Multimodal AI
The rapid advancements in AI tools like ChatGPT and Google Bard are undoubtedly exciting.
However, a note of caution: these tools are still in their developmental phase. Expecting flawless operation might lead to disappointment.
Over the next couple of years, these tools will likely become more refined and accurate – and inaccuracies will still persist.
The key to harnessing the power of these AI tools lies in the synergy between humans and machine.
Relying solely on AI might not yield the best results. But combined with human judgment and expertise, these tools can become a formidable asset.
As always, with technology evolving at breakneck speeds, staying updated on these tools will ensure that users are always ahead of the curve.
How We Can Help
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We hope you learned something new.
To your growth!
The Leveling Up Team