Multimodal AI tools, once confined to unimodal input tasks, have evolved significantly, extending their capabilities to encompass text, images, video, and audio. According to Markets and Markets research, the global multimodal AI market is projected to surge from $1 billion in 2023 to a staggering $4.5 billion by 2028, highlighting the growing significance of these tools. Navigating through the expanding array of options can be challenging, so let's explore the five best multimodal AI tools for 2024.
Google Gemini, a natively multimodal Language Model (LLM), stands out as a versatile tool capable of identifying and generating text, images, video, code, and audio. Divided into three versions—Gemini Ultra, Gemini Pro, and Gemini Nano—each caters to specific user needs. Gemini Ultra, the largest LLM, excels in performance, surpassing GPT-4 on 30 out of 32 benchmarks, as shared by Demis Hassabis, CEO, and co-founder of Google DeepMind.
ChatGPT, powered by GPT-4 with vision (GPT-4V), introduces multimodality by allowing users to input text and images. With an impressive 100 million weekly active users as of November 2023, ChatGPT supports a mix of text, voice, and images in prompts, and responds in up to five AI-generated voices. The GPT-4V variant ranks among the largest multimodal AI tools, offering a comprehensive user experience.
Inworld AI, a character engine, empowers developers to create non-playable characters (NPCs) and virtual personalities for digital worlds. Leveraging multimodal AI, Inworld AI enables NPCs to communicate through natural language, voice, animations, and emotion. Developers can craft smart NPCs with autonomous actions, unique personalities, emotional expressions, and memories of past events, enhancing the immersive quality of digital experiences.
Meta ImageBind, an open-source multimodal AI model, stands out by processing text, audio, visual, movement, thermal, and depth data. As the first AI model capable of combining information across six modalities, ImageBind creates art by merging disparate inputs, such as audio of a car engine and an image of a beach.
Runway Gen-2 takes center stage as a versatile multimodal AI model specializing in video generation. It accepts text, image, or video input, allowing users to create original video content through text-to-video, image-to-video, and video-to-video functionalities. Users can replicate the style of existing images or prompts, edit video content, and achieve higher fidelity results, making Gen-2 an ideal choice for creative experimentation.
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