This groundbreaking study examines the creative capabilities and limitations of GPT-4o, an advanced AI model that mirrors human expressiveness.
Title: An Exploratory Study of GPT-4o Poetry 2024
Author: Deborah Levin
Publication Date: May 6, 2024
Pages: 226
Genre: Nonfiction
Discover the creative abilities and constraints of artificial intelligence with "An Exploratory Study of GPT-4o Poetry 2024." This groundbreaking study examines the creative capabilities and limitations of GPT-4o, an advanced AI model that mirrors human expressiveness. Drawing on the insights of the latest research, this book explores whether AI can truly replicate the depth and nuance of human creativity in poetry.
From structured sonnets to open-ended free verse, poetry is a profound literary form that captures the essence of human emotions and experiences. But can an AI model like GPT-4o generate verses with human authenticity? Through a qualitative exploration of AI behavior in creative contexts, this study examines the model's ability to create original, non-plagiarized work and its tendency to rely on specific terminology or phrases.
Key Questions Explored:
- Can GPT-4o produce poetic expressions equivalent to human creativity?
- What refinements in capability does GPT-4o encompass beyond its older counterparts?
- Does GPT-4o exhibit over-reliance on specific terminology or phrases?
- Are the poetic outputs from GPT-4o indistinguishable from human-created poetry?
- How does GPT-4o handle the complexities of creative context generation?
In this study, you will also find:
- Examples of AI-generated poetry that showcase GPT-4o's creative potential.
- Insights into the model's unique approach to literary expression.
- Evaluation of plagiarized content and poetry generation speed.
An Exploratory Study of GPT-4o Poetry 2024 is an essential read for anyone interested in the future of AI and its role in human culture. Whether you are a poetry enthusiast, a tech aficionado, or simply curious about the capabilities of modern AI, this book offers unique insights and thought-provoking analyses. Don't miss out on this opportunity to explore the cutting-edge of AI-driven creativity—get your copy today!
An Exploratory Study of GPT-4o Poetry 2024 is available at Amazon.
Book Excerpt
This independent exploratory study aims to understand GPT-4o's capabilities and limitations related to creative poetic expression. Poetry encompasses creative literary representations in structured and open-ended formats. Expressions of feeling are arranged in verses or comparable language patterns (Oxford, 2024). Can GPT-4o produce poetic expressions equivalent to human creativity?
GPT stands for generative pre-trained transformer. The number four in the model's name represents the fourth generation of this model, created by OpenAI. The "o" is short for "omni," which is defined as "combining all."
GPT-4o is a multi-modal large language model (LLM) based on artificial intelligence (AI). AI uses data and algorithms through machine learning to imitate how humans learn. A subset of machine learning, known as Deep Learning, uses multi-layered deep neural networks to simulate the decision-making complexities of the human brain. This learning enables the model to increase the accuracy or predictions over time. Examples of AI-based technology include digital assistants, global positioning systems, and self-driving vehicles. Companies use AI strategies to automate tasks of lower complexity and bolster predictive modeling performance. (IBM, 2024)
Critics of AI believe it cannot replicate human creativity. The development of quality literary contribution requires personal collaboration. AI cannot critically analyze its outputs and cannot produce engaging content. Although technically accurate, the absence of emotional intelligence and empathy makes AI-generated creative content lackluster. Additionally, AI struggles with context and tone. (Burn, 2023)
Additional criticisms of AI, beyond an absence of creativity and emotion, include limitations due to data dependency and bias. Machine learning algorithms pull data from information across digital technologies. The quality of data inputs, including biased information, directly affects the outputs generated by AI. There may be over-reliance on source information if machine learning deems other sources less relevant. In some instances, AI can magnify biases, resulting in discriminatory content. Data inputs of misinformation or propaganda further exacerbate bias by developing aggregated content perceived as accurate and relevant. (AIContenfy, 2023)
Ethical concerns, including copyright infringement and plagiarism, present significant implications for authors, students and educators. The evolution of AI enables this LLM to mimic human conversations and create human-like content. The United States Copyright Office does not currently offer protection to literary work unless it is made or heavily edited by humans. This human-created requirement also encompasses protection for art and other media. Information contributors extend ethical concerns as AI may or may not ask contributors for permission before including their content in machine learning models. (Lane 2024)
Regardless of copyright protection, AI-generated content encourages human laziness through over-reliance on technology tools to produce content. The challenge of generating original creative thought is relegated to merely creating the right prompt to tell AI the type of output desired. This presents a significant challenge to educators as they strive to develop student intellect, encourage critical thinking, and realize the full human experience.
The GPT-4o model was trained using an extensive dataset, including internet text, books, articles, websites, and other electronic information. This data included information created up to September 2021. However, refinements enabled the model to include some knowledge as recent as early 2023. Therefore, new outputs created are based on relevant data from 1-2 years ago. This model began its rollout for general use in 2024 with enhanced voice, vision and text modality. (OpenAI, 2024)
Criticisms of AI were based on previous models. What refinements in capability does GPT-4o encompass beyond its older counterparts? Qualitatively exploring AI behavior's complexities relative to creative context generation will reveal its capabilities. Is this new model capable of creating original, non-plagiarized work? Does the model exhibit over-reliance on specific terminology or phrases? Do poetic outputs from this model seem human?
Dr. Deborah Levin is a woman of many talents. She holds degrees in Design, Business Administration, and Leadership. She has multiple technical certifications, ranging from project management to artificial intelligence natural language processing. She has a strong background in project management and continuous improvement. She used her unique combination of creative and analytical skills throughout her decades of experience in corporate manufacturing and transactional environments, in addition to facilitating courses for adult learners and community service leadership. Dr. Levin is passionate about lifelong learning and is a strong supporter of formal education. She believes sharing her learning and experiences with others helps them gain perspective to become better versions of themselves. She expresses this passion through a down-to-earth, personable writing style often seen in her written work.
Her book, An Exploratory Study of GPT-4o Poetry 2024 is available at Amazon.
Visit her website at www.allenjopublishing.com.
