remove miscategorization

mlc-ai · Apr 15, 2023 · 514f6e3 · 514f6e3
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@@ -15,7 +15,7 @@ We have been seeing amazing progress in generative AI and LLM recently. Thanks t
 
 These models are usually big and compute-heavy. To build a chat service, we will need a large cluster to run an inference server, while clients send requests to servers and retrieve the inference output. We also usually have to run on a specific type of GPUs where popular deep-learning frameworks are readily available.
 
-This project is our step to bring more diversity to the ecosystem. Specifically, can we simply bake LLMs directly into the client side and directly run them inside a browser? If that can be realized, we could offer support for client personal AI models with the benefit of cost reduction, enhancement for personalization and privacy protection. The client side is getting pretty powerful. For example, the latest MacBook Pro can have more than 60G+ unified GPU RAM that can be used to store the model weights and a reasonably powerful GPU to run many of the workloads.
+This project is our step to bring more diversity to the ecosystem. Specifically, can we simply bake LLMs directly into the client side and directly run them inside a browser? If that can be realized, we could offer support for client personal AI models with the benefit of cost reduction, enhancement for personalization and privacy protection. The client side is getting pretty powerful.
 
 Won’t it be even more amazing if we can simply open up a browser and directly bring AI natively to your browser tab? There is some level of readiness in the ecosystem. This project provides an affirmative answer to the question.