Build an AI Device with Groq, Llama 3, OpenAI, TTS, Whisper, Vision, Vercel AI SDK & Next.js

About this video

Repo: https://git.new/ai-pin Building an AI Assistant similar to the Humane AI Pin, the Rabbit R1 with Advanced Functionality from Scratch This video details the process of creating an AI assistant similar to the capabilities that we are starting to see with devices such as the Humane AI Pin and the Rabbit R1. This highlights the soon to be released Whisper capabilities now available on Groq.The app is capable of handling transcription and response from an LLM by leveraging the new whisper-large-v3 on Groq or whisper-1 on OpenAI. It also has the ability to handle complex queries such as weather updates, time inquiries, spotify request and photo recognition with responses from various AI models including GPT-4, Fal Llava AI and LLaMA 3. The project also has an option to access results from the Internet as and has support for OpenAI's Text to Speech (TTS) Models. I give an overview of setting up the front-end and back-end, incorporating various AI models, dealing with bottlenecks in response times, and optimizing the experience. The project also supports Langchain's LangSmith for observability. Serper API for internet search functionality Upstash Redis for rate limiting. The demonstration includes setting up the project environment, configuring API keys, and guiding through the coding framework using Next.js. 00:00 Introduction to Building AI Devices 01:12 Breakdown and Analysis 05:12 Diving Into the Coding and Development Process 09:05 Backend Logic and Functionality Explained 19:47 Frontend Development Insights 28:20 Final Thoughts and Future Directions