Speak AI Fluently: SudoCode Makes Building Complex AI as Easy as Talking
SudoCode: Declarative, constraint-based pseudocode for powerful LLM interaction.
AI Prompt Engineering Tutorials and Resources
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PseudoScript - Structuring Intent for Generative AI
PseudoScript is a promising new PseudoLang using structured directives to guide AI systems through complex workflows. Its script-like format bridges accessibility and technical precision, making AI creativity more reliable for goals like writing content or developing software.
Bridging the Gap: How PseudoLangs Enhances Human-AI Collaboration
PseudoLangs are synthetic languages created to bridge the gap between human intents and AI abilities. Technical PseudoLangs enable precise outputs while creative ones unlock generative models' imagination through targeted vocabularies and logic.
The Language of Thought - Exploring the Potential of SymboScript
Symboscript is a visual language system leveraging emojis and symbols to represent complex conceptual relationships. As an emoji-based combinatorial grammar, it aims to map more closely to innate cognition for deeper meaning representation and insights into human thought processes.
Introducing Miniscript - Maximizing Meaning by Minifying Language
Miniscript minimizes natural language prompts via abbreviation, prioritization, compression. Crystallizing directives inside model attention bandwidth, the compact style unlocks creative possibility within tight token constraints.
Understanding AI as a Non-Linear, Context-Driven System
Unlike rigidly-coded deterministic systems, LLMs thrive on disorder - emergent meaning constructed from cascading signals. This calls for an equally radical shift in user mindset. Rather than issuing defined commands to an impersonal computer, we must...
Democratizing AI - Language Over Code
Coding collides with creativity as prompt engineering emerges to challenge the exclusivity of AI development, granting anyone with linguistic intuition keys to drive progress on their own terms.
What is Artificial General Intelligence?
Artificial general intelligence (AGI) is making waves, but is the likes of ChatGPT really close to achieving it? We define AGI, evaluate progress, and debate implications as this frontier technology nears.
How Self-Critique Improves Logic and Reasoning in LLMs Like ChatGPT
One of the most impactful prompting techniques you can use is any method of self-critique. In this lesson, we decouple this from the most familiar promoting strategies and zoom in on this technique.
Fragmented Intelligence: The New Face of AGI
The myth of a singular, omnipotent artificial general intelligence is dead. The future lies in a mosaic of ephemeral, specialized AI agents, working in concert under human direction. A decentralized network, not a monolith. This new paradigm promises to reshape the pursuit of AGI.
The Truth About AI Detectors - More Harm Than Good
The promise of flawlessly detecting AI-generated text remains an elusive illusion. Behind the hype lurk ineffective tools, rampant inaccuracy, and social harms. Before relying on marketed tech claims, we must parse realities from AI myths.
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.
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.
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.
Accelerating Business Processes with Generative AI
Generative AI is disrupting business - learn how leading companies are leveraging models like GPT-4 to slash costs, boost efficiency, and make better data-driven decisions. Will you lead the transition to an AI-enabled enterprise, or will you allow competitors to disrupt your organization?
Can LLMs Really Explain Themselves? A Look at ChatGPT's Explanatory Abilities
This study explores how LLMs explain their decisions, revealing strengths and weaknesses. Learn about accuracy trade-offs, model behavior, and how to leverage self-explanations for better AI interaction.
ADAPT - Dynamic Decomposition and Planning for LLMs in Complex Decision-Making
The ADAPT methodology: an approach that can Large Language Models' performance in complex decision-making tasks through dynamic task decomposition and planning.
Functional Inference Synthesis: Harnessing the Predictive Power of Large Language Models
How can Words become tools? With the power of AI and a phenomenon know as Functional Inference Synthesis.
Speak AI Fluently: SudoCode Makes Building Complex AI as Easy as Talking
SudoCode: Declarative, constraint-based pseudocode for powerful LLM interaction.
Mind over Malware: Battling the Growing Arsenal of Attacks on Large Language Models
Large Language Models (LLMs) face a growing arsenal of attacks. Dive into the evolving threats, explore cutting-edge defense strategies like Generative AI Networks (GAINs), and discover how to secure the future of AI.
Data is Key For Robust LLM Strategy
"Garbage in, garbage out" applies to LLMs. Master data for accurate, efficient results & unlock their true potential. Your AI future starts here.