Big Data Analytics - Phân tích dữ liệu lớn (Lecture 10)

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Big Data Analytics - Phân tích dữ liệu lớn

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Overview of Large Language Models THE EVOLUTION OF NATURAL LANGUAGE PROCESSING EECS E6893 BIG DATA ANALYTICS 2

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The Evolution of LLMs 1. In 2017, Google released the "Transformer Model", which can be used in question-answering systems, reading comprehension, sentiment analysis, instant Text translation of text or speech, and more 2. In 2018, OpenAI proposed "GPT" and Google proposed the "BERT" model, widely used in search engines, speech recognition, machine translation, question- answering systems, and more. 3. From 2018 to 2022, most of the research focused on BERT-related algorithms, when GPT performance was Image inferior to BERT 4. In 2023, ChatGPT (GPT3.5) was proposed by OpenAI, which significantly improves NLU's ability to understand most texts and surpasses humans in some area In NLU CNN RNN Self-Attention Local feature Front and Back One to all attention, more flexible Dependency Issues and trainable need large datasets EECS E6893 BIG DATA ANALYTICS 3

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Generative AI Application Multi-Model NLU + Image Generator Condition Model Generative Model Conditional image Generator Image Generator Audio Generator Speech Generator Chat Bot NLU + Robot text Generator Summarization and Translation Pose Generator Robot EECS E6893 BIG DATA ANALYTICS 6

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Generative AI Methodology Variational AutoEncoder (VAE) Diffusion Denoise Model Training Generating Generative Adversarial Network (GAN) Large Language Model (LLM) EECS E6893 BIG DATA ANALYTICS 7

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