Hi!
Introduction to GPT-4o
GPT-4o, developed by OpenAI, represents a significant leap forward in AI technology. Dubbed “omni” for its all-encompassing capabilities, GPT-4o is a multimodal model that can process and generate text, audio, and images.
It’s designed to facilitate more natural human-computer interactions, responding to audio inputs in as little as 232 milliseconds. This model is not only faster but also 50% cheaper to use in the API, making it a cost-effective solution for developers and businesses alike.
Sample GitHub Repository
I decided to test some of the new features, and created this repository with some samples using Semantic Kernel and the new GPT-4o model.
https://github.com/elbruno/gpt4ol-sk-csharp/
Repository Content
The repo describes the basic steps to set up and utilize the GPT-4o model with .NET. The repository includes sample code, and links to further reading materials.
The initial demo shows how to use GPT-4o to analyze the following image:
With the following output:
The image appears to be a screenshot of a terminal window running on a Raspberry Pi device. The user has executed the `neofetch` command with `sudo`, and the terminal displayed system information. Additionally, the `ollama list` command was executed, showing a list of local models. Here's the breakdown of the terminal output: ### System Information (Neofetch Output) - **OS:** Debian GNU/Linux 12 (bookworm) aarch64 - **Host:** Raspberry Pi 5 Model B Rev 1.0 - **Kernel:** 6.6.20+rpt-rpi-2712 - **Uptime:** 3 mins - **Packages:** 694 (dpkg) - **Shell:** bash 5.2.15 - **CPU:** 4 cores @ 2.400GHz - **Memory:** 640MiB / 8052MiB ### Models List (Ollama List Command Output) - **llama3:latest** - **ID:** 71a106a91016 - **Size:** 4.7 GB - **Modified:** 4 days ago - **phi3:latest** - **ID:** a2c89ceaed85 - **Size:** 2.3 GB - **Modified:** 3 days ago I’ll keep updating the samples with more scenarios.
Happy coding!
Greetings
El Bruno
More posts in my blog ElBruno.com.
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