– 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.

– OpenAI and ChatGPT are state-of-the-art language models.
– They have versatile 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.
– OpenAI and ChatGPT have limitations in analyzing abstract semantics and regional idiosyncrasies.
– They can assist learners with query responses, explanations, and resource recommendations.
– They facilitate language acquisition, grammatical correction, and vocabulary expansion.
– They aid in creating instructional materials, practice questions, and student work evaluation.
– OpenAI and ChatGPT have implications for prompt engineering and Human-AI Interaction (HAI).
– They have been used for video synthesis, 3D scene representation learning, text-based video editing, and text-to-3D avatar generation.
– Radford et al. used task-aware input transformations for effective transfer learning.
– Deep reinforcement learning methodologies have been proposed for constructing intelligent agents.

– Provides guidance on selecting and using tools in NLP systems.
– Enhances the capacities and robustness of language models.
– Improves scalability and interpretability of NLP systems.

– 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.

– Full results of the three tasks: Trivia Creative Writing, Codenames Collaborative, and Logic Grid Puzzle can be found in Tables 5, 6, and 7, respectively.

– OpenAI and ChatGPT are advanced language models that use artificial intelligence.
– They are used in various industries like computer vision, gaming, and medical diagnosis.
– OpenAI Gym is a platform for reinforcement learning and benchmark challenges.
– OpenAI and ChatGPT have limitations in analyzing clinical data and considering individual patient factors.
– They may not fully understand emotions, cultural nuances, and may have biases.
– GPT-3 is a powerful AI system that can generate human-like writing.
– It can generate different types of content and understand queries.
– GPT-3 is trained on a large amount of text data and can mimic human writing.
– It has applications in chatbots, virtual assistants, content generation, and language translation.