In our previous post, we discussed how to generate Images using Stable Diffusion on AWS. In this post, we will guide you through running LLMs for text generation in your own environment with a GPU-based instance in simple steps, empowering you to create your own solutions.
Text generation, a trending focus in generative AI, facilitates a broad spectrum of language tasks beyond simple question answering. These tasks include content extraction, summary generation, sentiment analysis, text enhancement (including spelling and grammar correction), code generation, and the creation of intelligent applications like chatbots and assistants.
In this tutorial, we will demonstrate how to deploy two prominent large language models (LLM) on a GPU-based EC2 instance on AWS (G4dn) using Ollama, an open source tool for downloading, managing, and serving LLM models. Before getting started, ensure you have completed our technical guide for installing NVIDIA drivers with CUDA on a G4DN instance.
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