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In the rapidly evolving field of AI agents, there’s a growing trend towards complex frameworks and libraries. However, for many practical applications, a simpler, more flexible approach can be just as effective. This blog post introduces a lightweight financial agent framework that demonstrates how powerful tool use and orchestration can be achieved without relying on heavy libraries like LangChain or LlamaIndex or CrewAI etc.

The short answer: it’s more nuanced—agentic systems have potential, but only if implemented correctly.

Disclaimer: the open source community and the AI community evolve so fast. This blog post can only include content up to early April 2023. The cover image is generated using Midjourney.

Disclaimer: the following blog post is mostly generated by GPT-4. The image is generated by Midjourney. I used the following prompt to produce a diagram and a short blog post for highlights:

How I teamed up with ChatGPT, an AI language model, to identify and analyze a critical security vulnerability in a JPEG2000 decoder.

Since ChatGPT is good at hallucination, why not make a CatGPT out of it? Let’s engineer the prompt step by step:

Disclaimer: Nothing in this blog is related to the author’s current day-to-day work. The content is neither affiliated nor sponsored by any companies. The story in this post is based on a true event that happened in two parts, six years apart, and is full of nostalgia.

Disclaimer: Nothing in this blog is related to the author’s day-to-day work. The content is neither affiliated nor sponsored by any companies.

Disclaimer: Nothing in this blog is related to the author’s day-to-day work. The content is neither affiliated nor sponsored by any companies. I am not employed by Linkedin.

Disclaimer: Nothing in this blog is related to the author’s day-to-day work. The content is neither affiliated nor sponsored by any companies. The story in this post is NOT based on a true event.

TL, DR