Text summarization is an NLP technique that extracts text from a large amount of data. It helps in creating a shorter version of the text. Summarize Now!
The model we are using is a Vietnamese version of the popular Mistral-7B with 7 billion parameters. Obviously, it is very computationally expensive to fine-tune, therefore we applied various state-of-the-art optimization techniques: Flash Attention: helps reduce computation complexity of Attention...
nlpnatural-language-processingreinforcement-learningmachine-translationtext-generationlanguage-modelingsummarizationdialogue-generationtable-to-text UpdatedMar 1, 2024 Python ashishpatel26/LLM-Finetuning Star2.2k Code Issues Pull requests LLM Finetuning with peft ...
Large language models (LLMs) are a class of generative AI models built using transformer networks that can recognize, summarize, translate, predict, and... 15 MIN READ Nov 15, 2023 NVIDIA AI Foundation Models: Build Custom Enterprise Chatbots and Co-Pilots with Production-Ready LLMs ...
The model demonstrates strong performance for tasks such as Q&A, multi-round chat, and summarization in both traditional Chinese and English. 1 MIN READ Experience the versatile embedding model designed for multilingual, multi-functional, and multi-granularity text retrieval tasks, excelling in dense,...
Next, they summarize the ranked findings after ranking them for relevance and importance. In addition to retrieval and summarization, they synthesize the retrieved information into key elements, which are then fed into the big language model to generate the new...
such as summarization and information extraction, making them more readily available than ever before. However, we soon realized thelimitations of ChatGPT-like models, such as knowledge date cutoff and not having access to private information. In my opinion, what followed was the second wave of ...
landscape, the demand for models capable of breaking down intricate pieces of text into manageable, proposition-level components has never been more pronounced. This capability is particularly critical in improving language models used for summarization, information retrieval, and...
Lemmatization is a more effective option than stemming because it converts the word into its root word, rather than just stripping the suffices. It makes use of the vocabulary and does a morphological analysis to obtain the root word. Therefore,we usually prefer using lemmatization over stemming...
A package to generate summaries of long-form text and evaluate the coherence of these summaries. Official package for our ICLR 2024 paper, "BooookScore: A systematic exploration of book-length summarization in the era of LLMs". - lilakk/BooookScore