Kosmos-1: An Insight into GPT-4

Microsoft is set to release its latest language model, GPT-4, on March 16th, and the recent work on Kosmos-1 provides a glimpse into what we can expect from this new model. The paper "Language Is Not All You Need: Aligning Perception with Language Models" introduces Kosmos-1, Microsoft's multimodal large language model (MLLM), which enables the model to receive images as input and have a contextual conversation.

Examples:

One example of Kosmos-1's abilities is its capacity to identify objects in images and answer questions within the context of the given image.?

It can even identify subjective concepts like "why something is considered funny."

Additionally, the paper showcases the model's ability to solve IQ questions.

Although MLLMs are not a new concept, as google had their PALM-E unveiling just a couple of days ago, and not to mention Deepmind’s Flamingo, which also goes in a similar direction. The Microsoft research team also used Flamingo to benchmark Kosmos-1’s performance in tests such as image captioning and answering questions about image content. The Microsoft model performed as well as, and in some cases slightly better than, Kosmos-1.

Microsoft plans to scale up Kosmos-1 in terms of model size and integrate speech capabilities, making it a powerful tool for multimodal learning. Users can even control text-to-image generation through the use of instructions and examples. Kosmos-1 holds great promise for the field of natural language processing and beyond.

Conclusion:

While it remains unclear if GPT-4 will be based on Kosmos-1, MLLM was explicitly mentioned during Microsoft's recent event on March 9th, leading me to believe that GPT-4 will be an extension of Kosmos-1's capabilities.

References:

• "Language Is Not All You Need: Aligning Perception with Language Models" (https://arxiv.org/pdf/2302.14045.pdf)
• "Microsoft's Kosmos-1 is a multimodal step toward more general AI" (the-decoder.com)