INSANELY Fast AI Cold Call Agent- built w/ Groq

What exactly is Groq LPU? I will take you through a real example of building a real time AI cold call agent with the speed of Groq

🔗 Links

⏱️ Timestamps
0:00 Intro
1:07 CPU vs GPU vs LPU
8:45 What is LPU
10:27 Use cases Groq unlock
13:42 Tutorial: Build sales agent with voice AI
16:20 Demo: Voice AI
17:54 Setup Phone number for AI agent
19:00 Integrate voice AI into existing WhatsApp sales agent
23:58 Demo

👋🏻 About Me

#groq #gpt5 #whisper #whisperkit #mixtral #gpt4turbo #gpt4 #ai #artificialintelligence #tutorial #stepbystep #openai #llm #chatgpt #largelanguagemodels #largelanguagemodel #bestaiagent #chatgpt #agentgpt #agent #autogen #autogpt #openai

[AIJasonZ]

What are the use cases you want to see me building with Groq?

[robeaston]

My first thought is how can we use this for scam baiting? We just need an elderly person's voice option to make the call and then prompt the AI to waste the scammers time talking about gift card activation codes.

[HarpaAI]

🎯 Key Takeaways for quick navigation:

00:32 *🧠 Introduction to Groq's LPU (Large Language Model Processing Unit)*
- Introduction to Groq's LPU architecture designed specifically for AI inference.
- Explanation of the need for LPU in large language model inference.
- Comparison between LPU and other processing units like CPU and GPU.
05:37 *🔍 Comparison between CPU and GPU*
- Description of CPU as the central processing unit and its limitations in parallel computing.
- Explanation of GPU architecture, parallel computing power, and its expansion beyond gaming.
- Illustration of the difference between CPU and GPU through a painting demonstration.
06:05 *🔄 Limitations of GPU in Large Language Model Inference*
- Discussion on the limitations of GPU in handling large language model inference.
- Explanation of the complexities in achieving sequential execution on GPU.
- Overview of the latency issues and the need for complex control mechanisms.
09:47 *🚀 Groq's LPU Architecture and Performance Benefits*
- Introduction to Groq's LPU architecture designed for sequential tasks and low latency.
- Explanation of the simplified architecture and shared memory advantages.
- Discussion on the predictability and performance gains achieved with Groq's LPU.
11:37 *🗣️ Applications of Fast Inference Speeds*
- Exploration of potential applications such as real-time voice AI for natural conversations.
- Discussion on the reduction of latency enabling smoother interactions.
- Demonstration of real-time voice AI and its impact on user experience.
13:17 *🖼️ Utilization in Image and Video Processing*
- Highlighting the effectiveness of Groq for real-time image and video processing.
- Demonstration of image processing capabilities for various applications.
- Discussion on unlocking consumer-facing use cases with fast inference speeds.
14:40 *🤖 Building Real-time Voice AI with Groq*
- Discussion on building outbound sales agents using real-time voice AI.
- Introduction to platforms like Vee for integrating voice AI into applications.
- Demonstration of setting up a real-time voice AI assistant using Groq's model.
00:00 *📞 Setting Up Real-time Voice AI Cold Call Agent*
- Setting up a real-time voice AI cold call agent using Groq technology.
- Integration of voice AI capabilities into existing agent systems.
- Configuring API calls and server URLs for seamless communication between systems.
19:18 *🛠️ Integrating Real-time Voice AI with Existing Agent Systems*
- Demonstrates how to integrate real-time voice AI with existing agent systems.
- Setting up agent tools for making phone calls and receiving transcriptions.
- Configuring metadata and webhooks for seamless communication between platforms.
20:41 *📞 Configuring Call Functionality and AI Assistant*
- Configuring call functionality within agent systems for real-time voice AI interaction.
- Setting up dynamic message generation and personalized interactions.
- Defining schemas, URLs, and metadata for effective communication between systems.

Made with HARPA AI

[raghuoffl-fdcu]

This is one true gem of a video that focusses more on the use case. Thank you for breaking down the concepts really well and showing us demo of it's capabilities

[palfers]

Yes because we all want more cold calls from sales bots.

[CasimiroBukayo]

I wonder how many "Nigerian Prince" this thing could run in parallel? 🤔🤭

[Joe-bpmo]

I can't trust anything anymore! The demo in the end is very impressive

This is so powerful but also scary, what the world will look like in 12 month, when all the communication are driven by AI?

[larion]

The phone number thing is interesting... makes me fantasize about being able to have this as a replacement for the "leave a message after the beep" answering machines for your mobile if you don't get a call. A lot of people find leaving a message without having a conversation really awkward, so if you could instead connect to an AI assistant like this that actually talks to you, you could leave better messages, and the AI can summarize the conversation and leave you a txt message of the contents, or just leave their own summarized voice message.

[chrsl]

Its easy to see this will replace all callcenters very soon. I assume they originally developed this chip for the new Tesla Autopilot software, that is mainly AI/video based.

[MunirJojoVerge]

These are amazing use cases!! Lowering the barriers of entry to do high quality business associated with big companies!!
Thanks Jason

[armadasinterceptor]

2:55 "In every frame 2 million pixels have to be generated"

This guy broke down graphics in a way that made sense, for the first time in 20 years.

[JRealMe]

This is really interesting. Thanks for the sharing Jason.

[HamsterFlex]

You're incredible. Thanks for this Demo, Jason Sensei.

[MarkS-ybbl]

Creating a UI questionnaire for non coder types to build applications to solve problems. Mostly business applications that might otherwise require a developer or consultant.

[mariusorani]

The Sales Agencies after watching this video: „Ah f*** this sh*t, let‘s learn some new skills“

[GengoSenmon]

1:31 "I haven't do exercise at all for the past 3...or 6 months..." 😂

[musumo]

hey great video - can you do a full walkthrough of relevanceai and how you set that agent up as its not possible to follow from your video as looks like you had some pre defined steps in there thanks or drop and drop a link to the code you used to build this? thanks

[antman]

As far as I know from the All in Podcast, “Groq” isn’t particularly made to be the LPU or language processing unit. It was build as a very parallel processor and had little use case until it was a perfect fit for LLMs.

The brown skinned dude from the podcast owning a stake in the “Groq” company,
also explained, that they didn’t have a compiler as in Nvidias Cuda, thus they build one in the last year.

As the company was working on the idea for a while. It is more like the use case fits the product.
LLMs definitely don’t exist long enough, that it was specifically made for it.

So even as the LPU might be an adequate description right now:
It rather looks like the chip picked up that profession, when growing up/maturing.
Perfect timing interval for success:
-Later and we would see another chip taking the spotlight, even if a little later.
-earlier and the company might have bankrupted, if no use case were to be found

[mikeg]

I need one acting as my office assistant answering my phone calls.

[BuddhaMedam]

Another awesome video with great presentation and overview, i give your video's example to many to make them understand how to educate viewer abour particular thing and tell about what, why, how and then implement things in easy way possible.
Keep feeding us quality content buddy :-))