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How to make LLMs function as effective reasoning engines
The popularity of large language models skyrocketed in fall of 2022, but scientists have been deep in the thick of experimenting with these models through various prompts. “Prompting,” or prompt engineering, is now a fast-emerging domain in which a carefully crafted set of input instructions (prompts) are sent to the LLM to generate desired results. When we use prompts to generate a logical plan of steps for afghanistan phone number list accomplishing a goal, we also refer to them as “reasoning strategies.” Let’s explore some of the popular reasoning strategies below:
Chain-of-Thought (CoT): This is one of the most popular reasoning strategies. This approach mimics human-style decision making by instructing an LLM to break down a complex problem in a sequence of steps. This strategy is also referred to as a “sequential planner.” Chain-of-Thought reasoningOpens in a new window can solve math word problems, accomplish commonsense reasoning and can solve tasks that a human can solve with language. One benefit of CoT is that it allows engineers to peek into the process and, if things go wrong, identify what went wrong to fix it.
How to make LLMs function as effective reasoning engines
The popularity of large language models skyrocketed in fall of 2022, but scientists have been deep in the thick of experimenting with these models through various prompts. “Prompting,” or prompt engineering, is now a fast-emerging domain in which a carefully crafted set of input instructions (prompts) are sent to the LLM to generate desired results. When we use prompts to generate a logical plan of steps for afghanistan phone number list accomplishing a goal, we also refer to them as “reasoning strategies.” Let’s explore some of the popular reasoning strategies below:
Chain-of-Thought (CoT): This is one of the most popular reasoning strategies. This approach mimics human-style decision making by instructing an LLM to break down a complex problem in a sequence of steps. This strategy is also referred to as a “sequential planner.” Chain-of-Thought reasoningOpens in a new window can solve math word problems, accomplish commonsense reasoning and can solve tasks that a human can solve with language. One benefit of CoT is that it allows engineers to peek into the process and, if things go wrong, identify what went wrong to fix it.