Building applications with GenAI has become very popular today. One of the main concerns with cloud-based AI services like Chat GPT and Gemini is that you are sharing a lot of data with the cloud providers. These privacy issues can be addressed by running LLM models in a private data center or local machine. The popular open-source LLM models and GenAI tools such as LLM Studio, Ollama, AnythingLLM, and LocalAI are supported on various platforms like Windows, Linux, and Mac, and they are easy to set up.
Today, we are going to discuss LocalAI, an open-source project that aims to provide a local, privacy-focused alternative to cloud-based AI services. This approach can offer several benefits, including enhanced data privacy, reduced latency, and potentially lower costs associated with cloud services. LocalAI comes with different models for different use cases such as text generation, creating embeddings, audio-to-text, text-to-audio, image analysis, etc., but for the demo, we will be using text generation with the “GPT-4” model from LocalAI.