30s Summary

Small Language Models (SLMs) could revolutionise AI by offering highly efficient and scalable solutions to specific tasks. Assisterr, a Cambridge-based company, is promoting the use of SLMs in a community-driven model, with rewards earned through blockchain technology. The premise is that SLMs are not only highly versatile and cost-effective, but could also make AI more accessible and user-friendly. The use of SLMs could help overcome challenges with running large models on devices such as smartphones. The future of everyday tech devices looks bright with the potential of SLMs, with Assisterr envisioning an AI assistant for every need.

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AI is getting slicker, and the game-changer could be small language models (SLMs). These downsized models are a nifty alternative to the supersized models big companies are using. They’re especially awesome for tasks that focus on doing one thing but doing it really well.

Meet Assisterr, an operation based in Cambridge, building a community-driven AI haven. It’s all about passing the power to the people, allowing communities to own, manage, and enhance their AI models, all while earning rewards for their efforts. The magic happens through blockchain technology.

Nick Havryliak, the big boss at Assisterr, gave us the lowdown on the perks of SLMs and the possibilities of decentralized AI. The SLM concept, it turns out, started because of limitations faced with larger, more general AI models. Companies were trying to cover all bases with their models, making them more general. SLMs offer a change of tact, specializing in particular areas.

SLMs are ultra efficient, scalable, and easy to get going. They shine when it comes to specific tasks and environments where speed and cost are issues. They are perfect for most daily tasks and AI automation.

SLMs can be used in any application, framework, or hardware we use regularly, including phones and laptops. They’re super versatile and cost effective.

The beauty of Assisterr is its emphasis on a community-driven model. The folks at Assisterr have come up with tools that allow users to set up smart contract-based treasuries that manage the models’ operations, revenue, and overseeing of models via a tokenized voting system. The goal here is to get people of different backgrounds involved and make AI creation more accessible and user-friendly.

But Amidst all the buzz, creating real-world AI use cases for non-technical people can be challenging. Technically speaking, running large language models on devices like smartphones is a challenge in itself. For these causes, SLMs might just be the silver bullet, unlocking smart ways of usage ranging from glasses to wearable assistants.

As SLMs pop up more and more, the future of AI in our everyday tech devices seems pretty bright. It looks like SLMs will not just change how we interact with technology, but also how we live our lives. Each decision could be backed by a specific SLM. Imagine having an AI assistant friend for every need. That’s the potential Assisterr sees in SLMs.

Source: Cointelegraph