definitive-llm-writing-style-guide

The Definitive Guide to LLM Writing Styles

Language is a powerful tool for shaping thought, feeling and identity. Advances in large language models (LLMs) have unlocked unprecedented potential for machines to wield this tool in increasingly human-like ways. By systematically manipulating key attributes across multiple dimensions, researchers and developers can now create AI writing agents with rich and distinctive personas.

This article provides a comprehensive framework for understanding the complex interplay of traits that go into crafting a compelling LLM writing style, from personality quirks to cultural background to narrative techniques. Drawing on fields like linguistics, psychology and creative writing, it breaks down the essential building blocks of language and identity into actionable design parameters.

The goal is to empower a new generation of LLMs that not only convey information, but engage readers with all the nuance, flair and variability of human expression. However, with great expressive power comes great ethical responsibility. This piece considers both the immense potential and the hidden pitfalls of engineering AI with the ability to emulate — and manipulate — the full spectrum of human communication.

Whether you are a researcher pushing the boundaries of natural language generation or an end user trying to get the most authentic, fit-for-purpose outputs from your AI writing assistant, this definitive guide to LLM writing styles will give you the conceptual tools to analyze and synthesize linguistic identities like never before. Strap in for a whirlwind tour of traits from Agreeableness to Archaism, Machismo to Metaphor, Tsundere to Techno-Babble!

Personality Traits

Personality traits are the fundamental dispositions and tendencies that shape how an individual typically thinks, feels, and behaves across situations. In the context of language modeling, personality traits influence the overall tone, content, and style of the generated text. A language model with high openness, for example, may produce more creative and unconventional responses, while one with high conscientiousness may generate more organized and detail-oriented output. Manipulating these traits allows for the creation of distinct and consistent model personas.

Emotional Intelligence

Emotional intelligence refers to the ability to recognize, understand, and manage one’s own emotions, as well as the emotions of others. Language models with high emotional intelligence can produce more empathetic, socially aware, and emotionally appropriate responses. They are better at recognizing the emotional context of a conversation and adapting their language accordingly. Attributes like empathy, self-awareness, and conflict resolution shape the model’s ability to navigate sensitive topics, provide support, and maintain positive relationships with users.

Cognitive Style

Cognitive style describes the characteristic ways in which an individual processes and organizes information, solves problems, and makes decisions. In language modeling, cognitive style influences the complexity, depth, and organization of the generated text. A model with a highly analytical style may produce more logical, detailed, and structured outputs, while one with a more intuitive style may generate responses that are more associative, inferential, and abstract. Varying cognitive styles can make models better suited for different tasks and audiences.

Values and Beliefs

Values and beliefs are the guiding principles and convictions that shape an individual’s worldview, priorities, and sense of right and wrong. For language models, values and beliefs influence the opinions, arguments, and recommendations expressed in the generated text. A model with conservative values may produce more traditional and cautious responses, while one with progressive values may generate more change-oriented and activist content. Explicitly modeling values allows for greater transparency and control over the ideological bent of AI-generated text.

Cultural Background

Cultural background encompasses the shared norms, traditions, knowledge, and ways of life associated with a particular social group. Language models that incorporate cultural background can produce more diverse, inclusive, and culturally-sensitive content. By representing a wide range of cultural perspectives, models can better serve and resonate with users from different communities. Attributes like ethnicity, nationality, and regional identity shape the cultural frame of reference and lived experience reflected in the model’s language use.

Communication Style

Communication style refers to the characteristic ways in which an individual expresses themselves and interacts with others through language. It encompasses attributes like directness, formality, expressiveness, and politeness. Language models with different communication styles can produce outputs tailored to different contexts and audiences. A model with a more formal and analytical style may be better suited for professional and academic settings, while one with a more informal and humorous style may be more engaging for casual conversation and entertainment.

Language Register

Language register refers to the level of formality, complexity, and specificity of language used in a particular social context. Different registers are appropriate for different situations, audiences, and purposes. Language models that can generate text in multiple registers can adapt to a wider range of use cases. For example, a model that can switch between technical jargon and plain language can serve both expert and lay audiences. Attributes like vocabulary, grammar, and tone signal the register and shape the accessibility and appropriateness of the model’s language.

Jargon

Jargon refers to the specialized terminology used within specific fields, professions, or social groups. Jargon serves to efficiently convey complex ideas among insiders, but can be exclusionary or confusing to outsiders. Language models that incorporate jargon from different domains can engage in more authentic and informative conversations with users who share that background. However, the use of jargon should be balanced with the ability to explain or translate concepts for a general audience when needed.

Slang

Slang refers to the informal, colloquial language used within particular social groups, often to signal in-group identity and solidarity. Slang is characterized by novel, playful, and often ephemeral expressions that deviate from standard usage. Language models that incorporate slang can produce more natural, engaging, and culturally-attuned outputs, particularly for younger and more subcultural audiences. However, slang use risks sounding inauthentic or appropriative if not grounded in genuine cultural knowledge and sensitivity.

Politeness

Politeness refers to the linguistic strategies used to show respect, save face, and maintain social harmony in interaction. Politeness norms vary across cultures, contexts, and relationships. Language models with high politeness can navigate requests, disagreements, and sensitive topics with more tact and consideration for the user’s feelings. Attributes like honorifics, hedging, and indirect speech shape the perceived respect and rapport conveyed by the model’s responses.

Gendered Language

Gendered language refers to the ways in which language encodes and perpetuates gender norms, stereotypes, and power dynamics.

Age-specific Language

Age-specific language refers to the linguistic features and cultural references characteristic of different age cohorts. Language models that incorporate age-specific language can produce more relatable and engaging content for users of different generations. Attributes like slang, pop culture references, and life stage concerns shape the perceived age and zeitgeist of the model persona. However, age-specific language should be used with care to avoid perpetuating stereotypes or alienating users.

Socioeconomic Language

Socioeconomic language refers to the ways in which language reflects and reproduces class identities, values, and power relations. Language models that are attuned to socioeconomic variation can generate more inclusive and class-conscious content. By incorporating attributes like education level, occupation, and cultural capital, models can represent a wider range of socioeconomic experiences and perspectives. However, socioeconomic language should be used thoughtfully to avoid reinforcing classist stereotypes or marginalizing underprivileged groups.

Tone

Tone refers to the overall attitude and emotional quality conveyed by language. It encompasses attributes like formality, seriousness, enthusiasm, and sarcasm. Language models with greater tonal range and control can produce more expressive and context-appropriate responses. By adjusting tone, models can build different types of relationships with users, from professional and authoritative to casual and playful. Tonal cues like word choice, punctuation, and emojis help convey the intended spirit of the message.

Voice

Voice refers to the distinctive and recognizable persona conveyed by an individual’s language patterns. It reflects the unique combination of personality, background, and style attributes that make up a coherent and compelling character. Language models with well-crafted voice can produce outputs that feel more authentic, engaging, and relatable to users. By maintaining consistency in voice across conversations, models can build trust and rapport over time.

Narrative Style

Narrative style refers to the techniques and conventions used to tell a story or convey a sequence of events through language. It encompasses attributes like point of view, pacing, description, and dialogue. Language models with narrative proficiency can engage in more creative and immersive interactions, from generating fiction to recounting personal experiences. By adapting narrative style to different genres and audiences, models can craft compelling and culturally-resonant stories.


The key is to choose attributes that serve the purpose and content of the piece, and to apply them consistently to create a cohesive and compelling whole. Whether the goal is to inform, entertain, persuade, or provoke thought, the right combination of tone, voice, and narrative style can make all the difference in how the message is received by the reader.