Engineering Generative AI Confidence
Code Conversations21 Loka 2025

Engineering Generative AI Confidence

Large Language Models (LLMs), including GPT, operate at their simplest level by attempting to produce a reasonable continuation of the text they are given, basing their predictions on patterns observed across a massive corpus of information like billions of web pages. Prompt engineering is an iterative process that employs various techniques—such as role prompting, few-shot learning, and Chain of Thought prompting—to increase the accuracy, reliability, and personalization of the output, which helps minimize uncertainty and build trust in the generative AI technology.


Ref: https://www.youtube.com/watch?v=1XrgOK-Ydl8&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=19

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Jaksot(131)

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This talk was recorded at NDC Sydney in Sydney, Australia.Ref: https://www.youtube.com/watch?v=odWIkRcqEAU&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=20

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In Prompts We Trust: Engineering Language Models

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To trust or not to trust? That depends on the quality of your prompts. Trusting Large Language Models (LLMs) is all about reducing uncertainties, and effective prompt design is the key to achieving th...

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