Multi-Modal Arrives | Issue 13

The Unfolding:ai weekly newsletter about AI for business professionals

Multi-Modal Arrives | Issue 13

Welcome to Issue 13 of unfolding ai.

After about a month of waiting chatGPT-4v (vision) has arrived. Much like when the first version of 4 debuted in the late spring, the use cases and how it can be put into practical everyday use are just starting to appear.

By stretching the capabilities into image and audio more opportunities and ideas will no doubt spring into life, we have a couple in the newsletter for you to try.

Best regards,

Paul, Co-founder (and newsletter editor)

p.s chatGPT is struggling with load levels at the moment, expect to see failures.

What is Multi-Modal and Mixture of Experts

Multi-modal in the context of AI Language Models (LLM) like GPT-4 refers to the ability of the system to understand and generate different types of data, such as text, images, and sound, all within the same framework.

Example Usages:

  1. Customer Support: A multi-modal AI can analyze customer emails and listen to voice calls to provide support solutions.

  2. Content Creation: Generate text-based articles while also suggesting relevant images.

  3. Healthcare: Analyze both medical records and diagnostic images to assist doctors in diagnosis.

  4. E-commerce: Provide product recommendations based on textual reviews and image preferences.

  5. Education: Assess student performance through written assignments and oral presentations.

Mixture of Experts (MOE) in AI Large Language Models (LLMs), this refers to a system where multiple specialized "expert" models work together to provide a solution. Each expert is good at specific tasks. The system decides which expert to consult based on the problem at hand.

Advantages:

  1. Specialization: Each expert is highly skilled in a specific area, leading to better results.

  2. Efficiency: Can be faster as each expert only focuses on what they're good at.

Downsides:

  1. Complexity: Managing multiple experts can be complex.

  2. Cost: More computational resources are usually needed for multiple experts

ChatGPT4 is now both multi-modal and mixture of experts, however not all of the sub-versions can do all of the media modes, it’s a little mix and match right now.

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