Unlocking the secrets of BERT compression: a student-teacher framework for maximum efficiency Vyacheslav Efimov· Follow Published in Towards Data Science · 7 min read ·Oct 7, 2023 -- 1Introduction In recent years, the evolution of large language models has skyrocketed. BERT became one of the...
Large language models (LLMs) are advanced AI systems best known for their ability to generate intelligent and creative responses in human-like ways to queries.
Large language models (LLMs) like BERT are usually pre-trained on general domain corpora like Wikipedia and BookCorpus. If we apply them to more specialized domains like medical, there is often a drop in performance compared to modelsadaptedfor those domains. In this article, we will explore ...
detailed formulations for the network configurations Transformer Scaled doc-product attention Multi-head attention Multi-Head Attention. b. The end-to-end flow of tensor operations in multi-head attention reference: towardsdatascience.com/ 也可以参考:AI Box专栏:大模型综述升级啦 ...
Towards Data Science 129. Amber Teng - Building apps with a new generation of language models (Oct 2022) Vector Databases for Machine Learning. Pinecone on Practical AI AI and LLM Newsletters Sebastian Raschka’s Ahead of AI Videos Adrian Gomez on the potential of LLMs What the full ALphaGo ...
Towards industrial foundation models: Integrating large language models with industrial data intelligence Although large language models (LLMs) excel in language-focused tasks like news writing, document summarization, customer service, and virtual assistants, t...
Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after. Meanwhile, the evaluation and optimization of LLMs in software...
Towards this end, we contribute a set of prompting best practices and an extensive evaluation pipeline to measure the zero-shot performance of 13 language models on 25 representative English CSS benchmarks. On taxonomic labeling tasks (classification), LLMs fail to outperform the best f...
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...
Large Language Models in Light of the Turing Test and the Chinese Room Argument Continuing the discussion at the frontier between the most modern technology, philosophical aspects of AI, and science fiction LucianoSphere (Luciano Abriata, PhD)· Follow Published in Towards Data Scie...