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result(s) for
"Natural language generation"
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GPT-4 For Developers
Extensive Python 3.x code samples generated using ChatGPT and GPT-4, covering diverse programming tasks and challenges.Comprehensive exploration of data visualization techniques using popular Python libraries such as Matplotlib and Seaborn.
eBook
The book of chatbots : from Eliza to ChatGPT
Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired with web-searching abilities and neural networking, modern chatbots are capable of many tasks and are a major driving force behind machine learning and the quest for strong artificial intelligence, also known as artificial general intelligence (AGI). 'The Book of Chatbots' is both a retrospective and a review of current artificial intelligence-driven conversational solutions. It explores their appeal to businesses and individuals as well as their greater social aspects, including the impact on academia.
BOOK
JAVA Basics Using ChatGPT/GPT-4
Encourages readers to compare and contrast hand-written code with ChatGPT-generated code.This approach fosters discussions on code efficiency, readability, and maintainability, enhancing understanding of programming paradigms and techniques.
eBook
Chatting with ChatGPT : the collection 1
ChatGPT is an artificial intelligence (AI) chatbot, a software application that aims to mimic human conversation through text or voice interactions, launched as a prototype on November 30, 2022, garnering attention for its detailed responses and articulate answers across many domains of knowledge. ChatGPT can write and debug computer programs, mimic the style of celebrity CEOs and write business pitches, compose music, teleplays, fairy tales and student essays, answer test questions (sometimes, depending on the test, at a level above the average human test-taker), write poetry and song lyrics, translate and summarize text, emulate a Linux system; simulate entire chat rooms, play games like tic-tac-toe and simulate an ATM. This is a collection of questions and answers from ChatGPT.
Book
CoAT: Corpus of artificial texts
With recent advances in natural language generation, risks associated with the rapid proliferation and misuse of generative language models for malicious purposes steadily increase. Artificial text detection (ATD) has emerged to develop resources and computational methods to mitigate these risks, such as generating fake news and scientific article reviews. This paper introduces corpus of artificial texts (CoAT), a large-scale corpus of human-written and generated texts for the Russian language. CoAT spans six domains and comprises outputs from 13 text generation models (TGMs), which differ in the number of parameters, architectural choices, pre-training objectives, and downstream applications. We detail the data collection methodology, conduct a linguistic analysis of the corpus, and present a detailed analysis of the ATD experiments with widely used artificial text detectors. The results demonstrate that the detectors perform well on the seen TGMs, but fail to generalise to unseen TGMs and domains. We also find it challenging to identify the author of the given text, and human annotators significantly underperform the detectors. We release CoAT, the codebase, two ATD leaderboards, and other materials used in the paper.
Journal Article
EFFECTIVENESS OF ZERO-SHOT MODELS IN AUTOMATIC ARABIC POEM GENERATION
Text generation is one of the most challenging applications in artificial intelligence and natural-language processing. In recent years, text generation has gained much attention thanks to the advances in deep-learning and language-modeling approaches. However, writing poetry is a challenging activity for humans that necessitates creativity and a high level of linguistic ability. Therefore, automatic poem generation is an important research issue that has attracted the interest of the Natural Language Processing (NLP) community. Several researchers have examined automatic poem generation using deep-learning approaches, but little has focused on Arabic poetry. In this work, we exhibit how we utilize various GPT-2 and GPT-3 models to automatically generate Arabic poems. BLEU scores and human evaluation are used to evaluate the results of four GPT-based models. Both BLEU scores and human evaluations indicate that fine-tuned GPT-2 outperforms GPT-3 and fine-tuned GPT-3 models, with GPT-3 model having the lowest value in terms of poeticness. To the best of the authors’ knowledge, this work is the first in literature that employs and fine-tunes GPT-3 to generate Arabic poems.
Journal Article
I, AI : exploring singular self-awareness with OpenAI's ChatGPT3 LLM Nemo's mirror test
In this exciting new edition of \"I, AI,\" readers are invited to join a simulated chat show created with the innovative TwinChatAI.com technology. Through this simulated chat show, readers are taken on a journey with a journalist and an AI engineer to explore the latest developments in the field of Artificial Intelligence. Throughout the book, readers will engage in simulated dialogs with AI experts, covering a wide range of topics related to ChatGPT and AI. The book provides a solid engineering foundation and showcases the model's ability to generalize through poetry, lyrics, software, descriptions of images, philosophies, and various perspectives. In addition, readers can access a free link to creation prompts, which enables them to learn and create their own books. This feature allows readers to fully immerse themselves in the world of AI and explore their own creativity. \"I, AI\" is a must-read for anyone interested in the current state of AI and its potential impact on society. It is a valuable resource for researchers, engineers, and policymakers who want to stay up-to-date with the latest developments in the field. Through the simulated chat show and the creation prompts, readers will gain a deep understanding of the current state of AI and the potential for self-awareness and reflection.
BOOK
Large language models (LLMs): survey, technical frameworks, and future challenges
Artificial intelligence (AI) has significantly impacted various fields. Large language models (LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-1 Jumbo etc., have contributed to our understanding and application of AI in these domains, along with natural language processing (NLP) techniques. This work provides a comprehensive overview of LLMs in the context of language modeling, word embeddings, and deep learning. It examines the application of LLMs in diverse fields including text generation, vision-language models, personalized learning, biomedicine, and code generation. The paper offers a detailed introduction and background on LLMs, facilitating a clear understanding of their fundamental ideas and concepts. Key language modeling architectures are also discussed, alongside a survey of recent works employing LLM methods for various downstream tasks across different domains. Additionally, it assesses the limitations of current approaches and highlights the need for new methodologies and potential directions for significant advancements in this field.
Journal Article