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
Get the email newsletter and unlock access to members-only content and updates
Processing your application
Please check your inbox and click the link to confirm your subscription.
There was an error sending the email
Get started with our best stories
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?
Benchmarking AI Brilliance with Arthur Bench
Ever wondered how to measure the brainpower of AI? Dive into the world of Arthur Bench and discover the tool reshaping the landscape of large language model evaluations.
A Strategic Framework for Enterprise Adoption of Generative AI
Empower your organization or business with AI through this comprehensive framework and blueprint.
Statistical or Sentient? Understanding the LLM Mind - Part 1 - Memory
Memory makes us human. Yet modern language AIs like GPT Models exhibit remarkable fluency without any human-like memory. How do they generate coherent text without the episodic memory fundamental to our own cognition? This article illuminates the inner workings and memory limitations of LLMs.
Shopify's AI Transformation: New Revenue Growth Engines
Shopify bets big on AI to unlock new revenue growth engines and defend its competitive moat — but risks abound if it falters in execution.
StableCode by Stability AI - The Evolution of AI-Powered Coding
Stability AI's latest offering, StableCode, challenges the norm, revealing that sometimes, smaller might indeed be mightier in the world of AI-powered coding.
Taming the Beast: How Retrieval Augmentation Can Bolster Large Language Models
Large language models like GPT-3 showcase remarkable fluency but also inaccuracy and toxicity. To temper their limitations, researchers are augmenting models with true external knowledge - a gift no training data alone provides.
Recommended
