Neurai will leverage various AI models for the applications that will be incorporated into the network. IoT devices will have access to them through an internal medium, executing the AI algorithm directly from their own devices running AI locally, or even accessing AI in the cloud, taking advantage of the power these can offer.
Each type of model must serve a purpose, and each IoT device configuration will have needs that one of these types will meet.
Here we present some of the models with which we will be working throughout the development
Artificial Intelligence has evolved from large-scale systems to smaller devices, such as microcontrollers, thanks to specific software techniques and optimizations. This advancement allows low-power devices with limited resources to perform sophisticated data processing tasks.
Artificial Intelligence has evolved from large-scale systems to smaller devices, such as microcontrollers, thanks to specific software techniques and optimizations. This advancement allows low-power devices with limited resources to perform sophisticated data processing tasks.
Artificial Intelligence has evolved from large-scale systems to smaller devices, such as microcontrollers, thanks to specific software techniques and optimizations. This advancement allows low-power devices with limited resources to perform sophisticated data processing tasks.
curl https://ollama.ai/install.sh | sh
These are some free models that can be used. For starters, Mistral works very well and it is possible to ask questions in several languages.
ollama run mistral
ollama run llama2
ollama run codellama
ollama run llama2-uncensored
ollama run orca-mini
ollama run wizardcoder
ollama run zephyr
ollama run llama2-chinese
ollama run falcon
more soon...