Damn! The AI landscape is welcoming a new contender and it’s called Gemini. It’s Google’s highly anticipated series of language models that’s packing a punch with three models – Gemini Pro, Gemini Nano, and the top-tier Gemini Ultra. This bad boy is yet to be unleashed into the wild but it’s already demonstrating exceptional performance across various benchmarks. And guess what? The Gemini Pro models offer some serious performance comparable to gpt-3.5-turbo. That’s exciting stuff, man!
So, what can we do with these models? I’m talking video narration, visual question-answering, RAG, and much more. And in this article, we’re going to dive into these capabilities and guide you through building a multi-modal QA bot using Gemini and Gradio.
First things first, though. We need to authenticate VertexAI to access Gemini models and explore the Gemini API and GCP Python SDK. Then we can get to the fun stuff – building a functional multi-modal QA bot using Gemini and Gradio. It’s gonna be a blast, dude!
But hold up, what exactly is Google Gemini? Similar to GPT, the Gemini family of models utilizes transformer decoders optimized for scale training and inferencing on Google’s Tensor Processing Units. These models undergo joint training across various data modalities, including text, image, audio, and video, to develop Large Language Models (LLMs) with versatile capabilities and a comprehensive understanding of multiple modes.
The Gemini comprises three model classes—Gemini Pro, Nano, and Ultra—each fine-tuned for specific use cases. And boy, oh boy, the Ultra model is really flexing its muscles with state-of-the-art performance across various tasks. It’s outperformed GPT-4 on several benchmarks. That’s some serious stuff!
And we can access these models through GCP Vertex AI or Google AI Studio. You get the former for production applications while the latter lets developers create an API key to access Gemini models without a GCP account. It’s the best of both worlds, man.
So now that we’ve got that all covered, let’s get into the nitty-gritty of accessing Gemini using VertexAI. The Gemini models can be accessed from VertexAI on GCP, so if you’re ready to roll, let’s get after it! Now, let’s begin with building QA bot using Gemini! Let’s do this!