Note. Prompt engineering using Google Gemini generative AI.

What is the difference between Generative AI and Large Language Models (LLM)? According to Google Gemini, a generative AI tool, "Generative AI is a broad category of artificial intelligence (AI) that can create new content, while large language models (LLMs) are a type of generative AI that specializes in language-based tasks (Google Gemini, 2024)." 

Note. Google AI Studio and testing the responses from Gemini.

Generative AI provides the user with reasonable contextual intelligence. This reasonable intelligence uses prompt engineering to guide the generative AI in generating responses that are appropriate to the role. In this role, I have prompted Gemini as ALICE, a friendly assistant who works for Voracity Company.  

Note. Open-WebUI running Deepseek-r1 locally on MacBook Air M2.

Want to run Deepseek generative AI model not from the Internet but locally? Generative models such as Llama, Meditron, and Deepseek-r1 are all running locally on Apple MacBook Air M2 silicon. Running these models using a beautiful web interface is cost effective with the benefit that my data is safe on-premise. 

Want to run generative AI models not from the Internet but locally with your own personal files? Generative AI models such Mistral 7B can be run locally on HP OMEN 16 with Nvidia RTX 4060 video card. Running this model or personal files (e.g., resumes, dissertations) privately using Nvidia ChatRTX is cost effective and I can chat or speak to my files to gain insight from my dataset.

Note. Voracity shows the Nvidia TAO toolkit in Colab on a project.

Want to create custom AI models and deploy them in IoT edge devices? Generative AI in computer vision (CV) and Visual Language Models (VLMs) using Nvidia TAO allows developers to create complex models, distill them, and deploy them anywhere from the cloud to edge devices (i.e., IoT). Deploy these custom AI models to your next AI custom use cases (e.g., humanoid robotics, drones, manufacturing) by creating your special project.