In this blog series we will explore the fascinating world of Generative AI and Large Language Models (LLMs). We delve into the latest advancements in AI technology, focusing particularly on LLMs, which have revolutionized various fields, including natural language processing and text generation.
Throughout this series, we will discuss LLM serving platforms such as Ollama and Hugging Face, providing insights into their capabilities, features, and applications. I will also guide you through the process of getting started with LLMs, from setting up your development/ test environment to deploying these powerful models on Kubernetes clusters. Additionally, we'll demonstrate how to effectively prompt and interact with LLMs using frameworks like LangChain, empowering you to harness the full potential of these cutting-edge technologies.
Stay tuned for insightful articles, and hands-on guides that will equip you with the knowledge and skills to unlock the transformative capabilities of LLMs. Let's explore the future of AI together!
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| Image credits: designer.microsoft.com/image-creator |
Ollama
Part1 - Deploy Ollama on Kubernetes
Part2 - Prompt LLMs using Ollama, LangChain, and Python
Part3 - Web UI for Ollama to interact with LLMs
Part4 - Vision assistant using LLaVA
Hugging Face
Part1 - Getting started with Hugging Face
Part2 - Code generation with Code Llama Instruct
Part3 - Inference with Code Llama using LangChain
Part4 - Containerize your LLM app using Python, FastAPI, and Docker
Part5 - Deploy your LLM app on Kubernetes
Part6 - LLM app observability <coming soon>
