Discover the potential of Agentic Workflows, an innovative approach to AI collaboration that leverages specialized agents, advanced prompt engineering, and iterative processes to tackle complex problems and drive technological innovation.
Can a machine learn how people perceive public figures? A new study suggests AI can predict personality traits with surprising accuracy, just by analyzing text. We explore the implications and what it means for the future.
Forget crystal balls, language models are the new fortune tellers. Research suggests they can forecast almost as well as humans, and might even surpass us in some cases!
Explore the inner workings of Large Language Models (LLMs) and learn how their memory limitations, context windows, and cognitive processes shape their responses. Discover strategies to optimize your interactions with LLMs and harness their potential for nuanced, context-aware outputs.
Explore the power of few-shot learning, enabling AI models to learn from limited examples. Discover best practices, challenges, and future innovations in this comprehensive guide.
Discover the power of system prompts - the secret sauce that enables developers to customize AI behavior and enhance performance. Learn how to craft effective prompts for role-playing, rule adherence, context understanding, and more.
Discover how compositional prompting enables LLMs to compose primitive concepts into complex ideas and behaviours. Explore practical applications, challenges, and future potential of this emerging technique.
Evaluate large language models using a comprehensive framework covering fundamental abilities, knowledge, creativity, cognition, and censorship. Learn techniques for optimal training data size, addressing pitfalls, and incorporating human-in-the-loop evaluation for continuous improvement.
Anthropic pulls back the curtain on Claude's AI prompt, revealing a delicate balance of capabilities and ethics. As AI evolves, can transparency and responsibility keep pace?
AI agents are transforming work across industries through advanced language models and automation. This article explores their capabilities, implications, and the future of AI-powered software experiences.
Explore the groundbreaking concept of universal regressors, reshaping predictive modeling across diverse domains. Learn how these versatile tools transcend traditional regression methods, offering precise predictions and democratizing data-driven decision-making for a wide audience.
SudoCode: Declarative, constraint-based pseudocode for powerful LLM interaction.
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.
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.
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.
Discover the power of prompt templates and recipes in AI prompt engineering. Learn how these tools enable scalable, efficient, and effective AI solutions across industries and domains.
Explore our innovative framework that utilizes LLMs for educational storytelling, designed to simplify complex concepts for non-experts.
Discover the power of intention-aligned prompting to unlock the full potential of AI language models. Learn how to craft prompts that empower AI's problem-solving and creative capabilities for optimal results.
Goal-oriented prompts unlock more powerful results from AI language models compared to process-oriented prompts. Learn why and see examples and tips for effective prompting.
Discover a prompt engineering framework that leverages large language models (LLMs) to generate effective heuristics dynamically, enhancing decision-making and problem-solving capabilities across various domains.
Following up on the intriguing abilities of LLMs to decode and ideas and thoughts in symbols and emojis, here are a few brief case studies using ChatGPT and Claude.
