Скачать или смотреть Running Microsoft's Phi 3.5 Vision LLM Model on CPU | Python, Docker and Gradio

In this video, we delve into the exciting world of AI with Microsoft's Phi 3.5 Vision LLM Model. We'll explore what makes this model unique and walk you through the process of running it on a CPU using Docker and integrating it with Gradio for a user-friendly interface.

Introduction: We'll start by introducing Microsoft's Phi 3.5 LLM, part of the Phi-3 family of Small Language Models (SLMs). These models are designed to deliver powerful AI capabilities efficiently, outperforming larger models in various benchmarks. You'll learn about the key features that set the Phi 3.5 LLM apart, such as high efficiency, versatility, and accuracy.

Setting Up the Environment: Next, we'll guide you through setting up your environment, including installing Docker, pulling the Phi 3.5 LLM Docker image, and preparing the Python environment. We'll show you how to create a Dockerfile that includes the base image (Python 3.12-slim), necessary dependencies (torch, transformers, gradio), and a script (app.py) to run the model.

Running the Phi 3.5 LLM: We'll demonstrate creating the app.py script to load the Phi 3.5 model and set up the Gradio interface for easy interaction. You'll learn how to build the Docker image, run the Docker container, and interact with the model using Gradio.

Execution and Demo: Finally, we'll highlight the execution process, building the Docker image, running the container, and interacting with the Phi 3.5 model through the Gradio interface. You'll see how to access the Gradio interface in your browser and start engaging with the model.

Conclusion: We'll wrap up with a recap of key points, emphasizing the importance of AI innovation and encouraging viewers to like, comment, and subscribe for more AI insights.

Join us as we unlock the power of Microsoft's Phi 3.5 LLM Model, making advanced AI technology accessible and user-friendly.

Resources Mentioned:

@HuggingFace Token Generation: https://huggingface.co/settings/tokens
@DockerInc Installation: https://docs.docker.com/engine/install/
For in-depth insights, check out our detailed @medium blog post:   / exploring-microsofts-phi-3-5  
Explore the source code and implementation on @GitHub : https://github.com/neerajtiwari360/un...
@Microsoft Phi-3.5: https://learn.microsoft.com/en-us/azu...