Liquid Foundation Models (LFMs): A Simple Explanation
Imagine you have a super-smart computer brain that can understand and create text, recognize images, and even process video and audio. That’s basically what an LFM, or Liquid Foundation Model, is! Let’s deep dive to understand it.
What makes LFMs special?
- They’re efficient: LFMs can do a lot of work without needing a huge amount of computer memory. It’s like having a tiny car that can carry as much as a big truck!
- They’re adaptable: LFMs can quickly adjust to new information or tasks without needing to be completely retrained. It’s like a student who can easily apply what they’ve learned in math class to their science homework.
- They’re good at handling sequences: Whether it’s words in a sentence, frames in a video, or notes in a song, LFMs are great at understanding and working with information that comes in a specific order.
- They use a new kind of “brain”: Instead of using the same type of artificial brain as other AI models, LFMs use something called a Liquid Neural Network. This new brain can do the same work with fewer “brain cells” (called neurons).
How do LFMs work?
- Fewer, smarter “brain cells”: While other AI models might use thousands of simple neurons, LFMs use fewer, but more complex ones. Each neuron in an LFM can do more work.
- Real-time thinking: LFMs can adjust their thinking on the fly, without needing to stop and completely relearn everything. This makes them faster and more flexible.
- Handling long information: LFMs are really good at remembering and processing long pieces of information, like entire books or long videos, without getting confused or forgetting the beginning.
Different types of LFMs
- LFM-1B: This is the smallest one, great for simple tasks or when you don’t have a lot of computer power.
- LFM-3B: A bit bigger and smarter, perfect for things like mobile phones or robots.
- LFM-40B: The biggest and smartest, used for complex tasks that need a lot of brain power.
What can LFMs do?
- Answer questions and have conversations (like a chatbot)
- Analyze long documents
- Understand and create images and videos
- Process audio and understand speech
- Help with coding and programming tasks
Conclusion
The Liquid Foundation Models are a series of generative AI models designed with an entirely new architecture, optimized for performance, scalability, and efficiency across a wide variety of hardware platforms and modalities.
Unlike traditional GPT-based models, LFMs introduce a novel computational paradigm that redefines how we approach token and channel mixing, weight sharing, feature sharing, and adaptive computation, making them suitable for a broader range of applications.
LFMs are built to support multi-modal inputs, which allows them to process text, audio, images, and other data types seamlessly. This flexibility makes them ideal for scenarios where combining various forms of data can yield more powerful insights and predictions.
You can play around with LFMs here → Liquid Foundation Models: Our First Series of Generative AI Models
If you want to try the Open Source Implementation, here’s the github link for the same → GitHub — Decentralised-AI/LFM-Liquid-AI-Liquid-Foundation-Models: An open source implementation of LFMs from Liquid AI: Liquid Foundation Models
