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.
The Dangers of AI-Enhanced Hacking Techniques
Empowering Innovations or Supercharging Hackers? Artificial intelligence has an uncanny new ability - empowering hackers with a few simple prompts.
How to Evaluate Large Language Models for Business Tasks
Businesses often overlook the need for customized LLM evaluations aligned to real-world tasks. Generic benchmarks like perplexity offer little practical guidance. This guide provides a targeted framework for developing bespoke LLM scorecards based on 5 essential factors.
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.