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I haven't updated my AI-related blog for almost a year. Partly because I've been busy with side projects, and partly because although AI technology is rapidly evolving, AI application development hasn't changed much. It's still mostly about the three things I discussed in my blog: Prompts, RAG, and Agents.
The purpose of writing this article is to celebrate reaching 10K followers on X/Twitter 🎉. Suddenly, I felt the urge to share. In today's world, where the choice of tech stacks and cloud service providers is so rich and diverse, what tech stack should we choose if we need to develop independently?
In the past few months, it seems like we are in the midst of an AI revolution. Besides the well-known OpenAI ChatGPT, many novel, interesting, and practical AI applications have emerged, and using these applications has indeed boosted my productivity. However, there seems to be a lack of comprehensive resources on GPT application development and its pathways. Therefore, I decided to compile some of my experiences and thoughts into a series, hoping to help others.