Flan-T5在MMLU、BBH和MGSM中的表现比T5好2倍 在TyDiQA中,我们甚至看到了新能力的出现 Flan-T5-Large比以前所有的T5变体(甚至XXL)都要好 这意味着Flan-T5是一个非常强大的模型,和您所知道的T5可能完全不同。现在,让我们看看Flan-T5-Large和Flan-T5-XL与MMLU基准中的其他模型相比如何: 部分MMLU排行榜来自Paper...
Before diving into the technical implementation, let’s explore some of the potential applications of fine-tuned FLAN-T5, and below are some examples for chat and dialogue summarization, text classification, and Fast Healthcare Interoperability Resources (FHIR). Three Potential Applications of Fine-Tun...
Instruction_Fine_Tuning_LLM_T5.ipynb: Detailed instructions on fine-tuning FLAN-T5 for Spanish summarization. 📖 Evaluation_and_Analysis_T5_Familiy_LLMs.ipynb: Insights into evaluating and analyzing various T5 models. 📈 Parameter_Efficient_Fine_Tuning_QLoRA_Legal_Assistance.ipynb: Learn about fin...
appropriate prompting, it can perform zero-shot NLP tasks such as text summarization, common sense reasoning, natural language inference, question answering, sentence and sentiment classification, translation, and pronoun resolution. The examples provided in this post are generated with...
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - EgoAlpha/prompt-in-context-learning
Three Potential Applications of Fine-Tuned FLAN-T5 Chat and dialogue summarization:FLAN-T5 can condense conversations, providing a quick recap of customer service interactions or business meetings. Text classification:useful for automating the categorization of text into predefined classes, such as sentimen...
appropriate prompting, it can perform zero-shot NLP tasks such as text summarization, common sense reasoning, natural language inference, question answering, sentence and sentiment classification, translation, and pronoun resolution. The examples provided in this post are ...
Before diving into the technical implementation, let’s explore some of the potential applications of fine-tuned FLAN-T5, and below are some examples for chat and dialogue summarization, text classification, and Fast Healthcare Interoperability Resources (FHIR). Three Potential Applications of Fine-Tun...
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Li-Hyn/prompt-in-context-learning