Tony KipkemboiAI Engineer & Content Creator

Super Fast Inference Speed with Groq (#ai #streamlit)

5 Mar 2024 · 1 min

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0:57

In this short video, Tony Kipkemboi showcases Groq's focus on ultra‑fast generative AI inference by walking through a Streamlit demo app he built with the Groq API. He demonstrates how quickly the model responds to a query—typing out the answer almost instantaneously—highlighting the near‑zero latency experience. Tony then shares the exact code used, directing viewers to his GitHub repository (Groq Streamlit Demo) for replication or further enhancement, and ends with a call to follow him for more content.

Chapters

So you probably use ChatGPT, but have you used Groq with a Q? Let me show you. So Groq is on a mission to set very high standards on GenAI inference speed. What all that means basically is that when you're chatting with a chatbot, it responds to you very fast. And I'll show you an example here real quick. This is a demo app that I built using Streamlit and Groq API. So let's see how fast it responds. I'll ask it, what is Groq AI? And see how it types out really fast? This is way faster. It feels like it's not even thinking. It's just Spewing out answers to you. This is the code that I used to build that app. If you want to replicate the same application, go to github.com, look for my name, Tony Kipkemboi, and look for Groq Streamlit Demo, and you'll find this code here repository where you can follow the instructions that I've laid down here for you. And you can replicate this same exact app or improve it, make it better, add more features, and then deploy it and have fun with it. If you enjoy this, follow for more. Cheers.