For Diffusion models, I'd point you to the introduction in this excellent blog post: https://www.assemblyai.com/blog/diffusion-models-for-machine-learning-introduction/

More details on these findings in this blog post https://www.assemblyai.com/blog/ai-trends-graph-neural-networks/

You might want to read at p.8 in the paper. The authors evaluate three different models (GPT-3-175B, InstructGPT-3-175B, and text-davinci-002) using different prompt templates, but none of the models show improved performance. The variance of the results for text-davinci-002 is particularly high, and the best prompt template only achieves a 74.5% accuracy rate.