🔗 AI Agentic Workflow Andrew Ng

Youtube Video, via JS Party podcast episode Building LLM agents in JS

Notes

Non Agentic workflow: Do it start to finish. Mostly zero shot prompts.

Agentic workflow: Revise, iterative, reflect, use tools if you need to….

Four design patterns.

1. Reflect: Produce one thing and ask another chat thread with different system prompt to evaluate it. E.g. Create a code, than ask a rubberduck debugger to read it line by line, or run the test suite and provide the result to LLM generated the code to evaluate it. Or write a post, and ask an editor LLM to reflect it, and ask writer LLM to update the post on feedback.

🔗 How does AI impact my jobs

(via)

It’s not their fault. They enrolled in a master’s program to get a job in tech. Why? Let’s be candid: tech has promised job security and agreeable (sometimes borderline perverse) financial returns for a couple of decades. Many tech employers also spin a yarn about “saving the world” and coast on the reputational allure of “if you work here, you’re a genius.” Sounds great, doesn’t it? Except, now that students have invested five figures of money in their tech education1, had their skulls crammed full of ‘invisible hand of the market’ propaganda, and counted on having secured their ticket to the party, they’re seeing layoffs. They’re seeing exposés. They’re seeing compensation adjustments at the most lucrative tech companies. And they’re seeing a news cycle that oscillates wildly between blaming AI for these changes and extolling it as the solution.

Lessons from the LLM Frontlines: A Developer's Journey

My Adventures With Local LLMs

My Usage of LLM Tools including ChatGPT, Copilot and others.

Taking Interviews in the time of ChatGPT