– Paper explores applications of OpenAI and ChatGPT in various domains.
– Emphasis on text-to-image and text-to-video models.
– Discusses advancements, potentials, and limitations of these language models.

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– OpenAI and ChatGPT are state-of-the-art language models.
– They have applications in various engineering domains.
– They can be used for text-to-image/video applications, educational assistance, clinical diagnosis, machine learning, and natural language processing.
– They have limitations in analyzing abstract semantics and regional idiosyncrasies.
– They can assist learners with query responses, explanations, and resource recommendations.
– They can facilitate language acquisition and instructional material creation.
– They function as intelligent learning assistants for students and instructors.
– They have implications in prompt engineering and Human-AI Interaction (HAI).
– They have been used for video synthesis, 3D scene representation learning, text-based video editing, and generating lifelike 3D human avatars.
– They have applications in computer vision, social influence, and software development.

– Solo Performance Prompting (SPP) enhances problem-solving abilities in complex tasks.
– SPP reduces factual hallucination and maintains strong reasoning capabilities.
– Cognitive synergy emerges in GPT-4 but not in less capable models.

– OpenAI and ChatGPT are widely used language models in various industries.
– They have applications in computer vision, gaming, and medical diagnosis.
– The paper provides an overview of these models and their capabilities.
– It focuses on text-to-image and text-to-video models and their analysis.
– The paper discusses the advancements, potentials, and limitations of these models.

– OpenAI and ChatGPT are versatile and well-suited for engineering applications.
– Leveraging these models can result in heightened productivity and cost reduction.
– The paper provides a comprehensive evaluation of the advancements, potentials, and limitations of these models.
– The findings aim to inform and benefit academic researchers and industry practitioners.
– The literature review contributes to the existing knowledge base and holds valuable insights.

– Provides a comprehensive overview of OpenAI, OpenAI Gym, ChatGPT, DALL E, stable diffusion, and other models in various domains.
– Emphasizes comparative analysis of text-to-image and text-to-video models.
– Discusses advancements, potentials, and limitations of language models.

– Solo Performance Prompting (SPP) helps a computer program think like different people.
– It uses different personas to solve problems and get accurate knowledge.
– SPP reduces mistakes and makes better plans compared to other methods.
– It works well in tasks like writing stories and solving puzzles.
– SPP is better in GPT-4 model compared to other models.