Are you getting into generative AI as a developer? My advice: focus on integration, not training from scratch. Explore pre-trained models on HuggingFace, OpenAI, or Gemini, experiment with fine-tuning your own data, and create mini-services that your apps can call. Experiment with RAGs, embeddings, and tool/function calls to make AI truly useful. Start small, iterate quickly, and your apps will get smarter every day. 🚀
Stanford introduced a simple prompting trick that boosts LLM creativity without retraining. Adding a short verbalized-sampling cue makes the model surface multiple possibilities instead of collapsing into predictable answers caused by alignment and typicality bias. By asking for a distribution, not a single reply, the model recovers much of its lost diversity and generates richer outputs.
#LLM #AIResearch #GenerativeAI #PromptEngineering #MachineLearning #ModelAlignment