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mahmud213
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Joined: Sat Dec 07, 2024 4:59 am

black and blue background lead generation website

Post by mahmud213 »

How accurate is chatgpt?
Chatgpt can answer any questions. But to what extent are its results reliable?


Botpress

'chatgpt accuracy' on
of course you can use chat. What is the chain of thought stimulus?
Even if an llm-powered chatbot doesn't employ chain-of-thought reasoning, it can use it to improve the quality of responses.


Sarah chudleigh

"incitement to the chain of panama mobile phone number thought
if you've used a degpt chatbot like chatgpt, you've probably noticed the varied quality of the results.

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Sometimes it spits out exactly what you need. Other times you suspect that ai "intelligence" is a hoax.

You can improve your chatgpt game to a higher level by improving the way you prompt. Chain instructions encourage llm to reason through a task step by step before generating a response.

New ai models and functions are starting to directly incorporate chain reasoning, so that their models automatically reason through the problem without the need for additional prompts.


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what is thought chain stimulation?
Chain of thought instructions are an instructional engineering technique in ai that instructs models to decompose complex tasks, reasoning through each step before responding.

You may also hear the term "chain reasoning." it refers to the step-by-step process that the model will follow to reason about the task at hand.

Openai o1 models do not require thought chain prompting, because they already have thought chain reasoning built in. But chain reasoning can be used in any llm chatbot.

How does chain reasoning work?
Chain reasoning involves breaking a problem into smaller logical steps for the chatbot to solve in sequence.

First, ai identifies the key parts of the problem. Next, process each part in sequence, keeping in mind how one step leads to the next. Each step builds on the previous one, allowing the ai ​​to methodically move towards a logical conclusion.

Examples of chain of thought prompting
the famous "strawberry
chatgpt and other llms have well-documented weaknesses. One of them is its inability to correctly identify how many "r's" there are in the word "strawberry" (probably the famous limitation behind the o1 models' codename: strawberry).
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