HighLevel Voice AI Course: Lesson 5: LLM & Components of Voice AI | The Brain Behind Voice AI Agent

Unfolding The Power Of High-Level Voice AI: A Comprehensive Guide - Lesson#5

Embarking on a quest to create and deliver the most thorough and up-to-date HighLevel Voice AI Course, we welcome you to Lesson#5 specifically concentrated on the essential aspects of #gohighlevel #voiceai.

Are you driven to devise a swift and nature-like Voice AI agent? This blog post will manifest a complete breakdown of foundation of Voice AI agent and elucidate the role of LLM models A.K.A the "cerebral" part of your agent.

Three Core layers of Voice AI Calls

Elevating the discussion about every Voice AI call, there are three main stages namely:

1. STT (Speech-to-Text) - For example, transcription services like Deepgram and Whisper.

2. LLM (Brain + orchestration) - Encompassing prompts, turn-taking, guardrails, and functions.

3. TTS (Text-to-Speech) - Voice providers such as ElevenLabs, Cartesia, and others are a part of this stage.

Turning the Practical Wheel

To give you a finer idea about the Voice AI structure we can deep dive into the setup view in the form of Vapi-style, shedding light on how fluctuating your model, transcriber, and voice provider affects your overall Voice AI agent experience in terms of:

1. Latency - Your agent's responsiveness.

2. Cost per minute.

3. Call quality + User experience.

Optimizing Your Voice AI Agent

If you stand at a crossroad of choosing among different models or providers, this extensive guide will assist you in landing on the appropriate "sweet spot" for your required situation.

Demystifying Different Functions

We introduce you to the anatomy of each function from STT to LLM to TTS and their roles along with a brief about selecting a provider and model. Understanding latency, why it could make or break the call experience, how to compare latencies and costs of different models, and voice provider options will unlock many doors for you in the journey of constructing your ideal Voice AI agent.

Transcriber Choices

The selection of a transcriber can not be overlooked as it significantly impacts latency and cost. You get a chance to compare the latency of various transcribers and how to select the one aligning best with your language settings.

Wrap-up

After the cost breakdown, reviewing available LLM models to pick the best for our needs, you will even find out the best way to test your models and guardrails and to avoid hallucinations. The perfect ending to an enriching journey, this course ensures that you are confident with your decisions and steps in orchestrating your very on Voice AI agent.

Stay tuned for more learning ahead, embracive of all things #gohighlevel #voiceai!