prompt-in-context-learning

Why we included this project

In-context learning moves fast, and this collection tracks it day by day. It rounds up recent papers on in-context learning, prompt engineering, agents, and foundation models, then points you to a playground where you can try the models yourself. The prompt engineering guides explain concrete techniques, and the example prompts cover both work and everyday tasks, so you can go from reading to experimenting fairly quickly. The LangChain usage guide offers a short path from the tutorials into actual code, which helps if you want to build something rather than just browse. Because it updates often, it works better as a reference you return to than as a one-time read.