Leveraging Associative Memory in AI for Effective Prompt Engineering
Your brain's magic memory has more in common with ChatGPT than you may think! Let's explore the surprising parallels between human and AI intelligence.
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SLiCK: A Framework for Understanding Large Language Models
Peek under the hood of LLMs with SLiCK- a conceptual framework that segments AI operations into distinct components, shedding light on the inner workings of these complex "black box" systems.
The Black Box Problem: Opaque Inner Workings of Large Language Models
Large language models like GPT-4 are powerful but opaque "black boxes." New techniques for explainable AI and transparent design can help unlock their benefits while auditing risks.
Introduction to the AI Prompt Development Process
A 15-step methodology for crafting optimized AI prompts that tap into the full potential of AI systems. The process aims to maximize relevance, consistency and quality of outputs.
AI's Dicey Reputation: Are LLMs Really Just Random Stochastic Machines?
The dice don't lie - but they also don't tell the whole story of AI. Peel back the layers of the dice analogy to understand how prompts shape possibilities within AI's parameters.
Prompt Engineer: The AI Role Organizations Cannot Afford to Ignore
Prompt engineers are the new competitive secret weapon. Learn why dedicated prompt engineering teams can maximize your AI capabilities, mitigate risks, and future-proof your organization.