Businesses intending to use AI do not have to rely on cloud-based tools like Chat-GPT, which tend to require uploading or sharing sensitive data. Instead, it is now possible to install and run private AI models locally, ensuring all data remains private and secure.
There are several open-source tools available for those looking to experiment with locally-running AI models, all of which prioritise data privacy, cost-effectiveness, and ease of deployment, therefore ensuring they are suitable for varying levels of technical expertise.
Private AIs for business experimentation
LocalAI
LocalAI is an open-source platform developed as a drop-in alternative for OpenAI’s API, allows businesses to operate LLMs locally. The tool supports a range of model architectures, including Transformers, GGUF, and Diffusers.
The technical requirements of LocalAI are minimal, operating on consumer-grade hardware. Its modest specifications let businesses use existing hardware. Comprehensive guides and tutorials are available, helping businesses set the tool up. From here, it is possible to generate images, run LLMs, and produce audio on-premise with consumer-grade hardware.
LocalAI provides an extensive library of use cases, showcasing audio synthesis, image creation, text generation, and voice cloning, helping businesses explore practical applications of AI while keepind data secure.