Text summarization1is the process of condensing a large amount of text into a concise, informative summary without compromising the underlying meaning of the original text. There are two primary approaches to text summarization, extractive summarization2,3and abstractive summarization4. In extractive summ...
natural-language-processingpillownltktext-summarizationgoogle-text-to-speechtext-to-imageduckduckgo-searchgoogle-speech-recognitionstreamlit-webapphuggingface-modelsgenerative-ailangchainjina-chat UpdatedAug 12, 2023 Python TheProfessorsLab/Oracle-VocalAI-Interface-DISCONTINUED ...
Vietnamese Text Summarization with Poem Summarize a piece of text with poem. Doesn't it sound fun? Introduction Jokes aside, this is a fun project by my team at FPT University about fine-tuning a Large Language Model (LLM) at summarizing a piece of long Vietnamese text in the form of...
As such, it does not feel right to bundle any such solution into Vivaldi. There is enough misinformation going around to risk adding more to the pile. We will not use an LLM to add a chatbot, a summarization solution or a suggestion engine to fill up forms for you until more rigorous ...
Titan Text Liteis optimized for speed, is highly customizable, and is ideal to be fine-tuned for tasks such as article summarization and copywriting. The model has a maximum context length of 4K tokens. Now, let’s discuss Titan Text Premier in more det...
Model temperature has a big impact on the quality of the text generated in a bunch of [natural language processing] tasks, like text generation, summarization and translation. The tricky part is finding the perfect model temperature for a specific task. It's kind of like Goldilocks...
2022. Few-shot training LLMs for project-specific code-summarization. ASE (2022). [5] Nadia Alshahwan and Mark Harman. 2011. Automated web application testing using search based software engineering. In ASE. IEEE, 3–12. [6] Saswat Anand, Mayur Naik, Mary Jean Harrold, and...
Evaluating large language models on medical evidence summarization In this study, we systematically examine the capabilities and limitations of LLMs, specifically GPT-3.5 and ChatGPT, in performing zero-shot medical ... L Tang,Z Sun,B Idnay,... - 《Npj Digital Medicine》 被引量: 0发表: 0...
Because of the rapid expansion of digital information, text mining has gained significant importance in different fields, including information retrieval, sentiment analysis, entity recognition, summarization, and other applications [43]. An example of an entity recognition method is a study that ...
values in A, B test the differences between group means; in C–F, each p-value tests the divergence of a group summary value relative to the critical value, obs/exp = 1 or Q = 0; the two-tailed p-values were derived from the group CDs in the meta-analytical summarization....