Learn Before
Explicit Prompting for Extended Deliberation
A technique for encouraging more detailed reasoning from a Large Language Model by directly including instructions in the prompt that request a longer, more thorough, or step-by-step thought process.
0
1
Tags
Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Related
Evaluating a Novel Prompting Strategy
A researcher is trying to get a language model to solve a multi-step logic puzzle. They test two different prompts:
Prompt A: 'What is the solution to the following logic puzzle? [Puzzle text]'
Prompt B: 'Solve the following logic puzzle. First, break down the puzzle into individual facts and constraints. Next, reason through the implications of each fact step-by-step. Finally, state your conclusion and explain how you arrived at it. [Puzzle text]'
Which statement best analyzes why Prompt B is likely to yield a more accurate solution for this type of task?
Evaluating LLM Reasoning Outputs
Explicit Prompting for Extended Deliberation
Modifying Decoding for Longer Reasoning Paths
Multi-Stage Generation for Incremental Reasoning
Learn After
A user is attempting to have a language model solve a multi-step logic puzzle. The initial prompt, 'Solve the following logic puzzle: [puzzle details]', frequently results in an incorrect final answer. Which of the following revised prompts best applies the principle of guiding the model towards a more reliable solution by explicitly requesting a more detailed thought process?
Improving LLM Project Timeline Estimation
Improving Code Debugging with Prompts