稀疏检索:因为query一般会比伪文档短很多,所以会将原始query复制n份(论文中n=5)后和伪文档q’拼接起来。即q^{\dagger} = \text{concat}(\{q\} \times n, q') 稠密检索:将原始query和伪文档q'用{[SEP]}符号拼接起来,即q^{\dagger} = \text{concat}(q, {[SEP]}, q') c.HyDE 论文地址https:/...
一词多义(同音异义词):许多语言中,一个单词可能有多种含义,需结合句子上下文才能确定其具体意义。 句法歧义:如句子 “The teacher taught the students with the book.” 存在歧义,不清楚是老师用书教学,还是学生拥有书,或者两者皆有。Transformer 架构
text-generation-launcher --help You can then query the model using either the/generateor/generate_streamroutes: curl 127.0.0.1:8080/generate \ -X POST \ -d'{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":17}}'\ -H'Content-Type: application/json' ...
BEIJING, Jan. 23 (Xinhua) -- Large models based on algorithms, computing power and big data have become the mainstream of AI development, and have continuously empowered China's economic development. As of October 2023, 238 big models have been launched in China, according to official data. ...
In August 2023,Andreessen Horowitz(a16z) provided a generous grant to encourage and support my independent work on this project. I amextremelygrateful for their trust and recognition, which will allow me to dedicate more time towards realizing the full potential of text-generation-webui. ...
Non-causal language modelingViterbi algorithmSpanish languageTransformer language modelsWe estimate the maximum-likelihood (ML) generation order for a sentence with Viterbi.Causal NLG systems favor SVO structures, even in flexible languages like Spanish.ML word order differs from the traditional causal ...
Google AI Research Propose a General Approach for Personalized Text Generation Using Large Language Models (LLMs)
Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets. What are Large Language Models? Large language modelslargely represent a class of deep learning architectures calledtransformer networks. A transfor...
Sentiment analysis is one of the more impressive applications. A combination of unsupervised and supervised learning allows LLMs to identify intent, attitudes, and emotions in text. Some algorithms can even pick up specific feelings such as sadness, while others can determine the difference between ...
Still, it was not until the recent advancements in deep learning algorithms, computational power, and text data availability that they became a game-changer in artificial intelligence. Thanks to the incredible performance of these models, they have been employed in large language models applications,...