In a tutorial by Askar Aitzhan, readers are guided through the process of building a voice assistant using three advanced AI technologies: Whisper for speech recognition, LLM for natural language processing, and TTS for text-to-speech conversion. The models are accessible on DeepInfra, but the tutorial utilizes the OpenAI Python client for LLM and ElevenLabs' Python client for TTS. Prerequisites include setting up a virtual environment and installing necessary libraries like openai, elevenlabs, and pyaudio. The tutorial walks through steps such as recording and transcribing audio with Whisper, interacting with an LLM using OpenAI's client, and converting text responses to speech with ElevenLabs, ultimately culminating in a continuous voice assistant function that listens, processes, and responds to user queries until stopped. The tutorial emphasizes the power of these tools to create a sophisticated assistant capable of understanding and responding to diverse user inputs, while also highlighting DeepInfra's infrastructure for running models at scale.