AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

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Analytics Vidhya

MARCH 13, 2023

LLMs can perform many types of language tasks, such as translating languages, analyzing sentiments, chatbot […] The post An Introduction to Large Language Models (LLMs) appeared first on Analytics Vidhya. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language.

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Analytics Vidhya

SEPTEMBER 6, 2023

Various applications use this Natural Language Processing guide, such as chatbots responding to your questions, search engines tailoring […] The post Advanced Guide for Natural Language Processing appeared first on Analytics Vidhya. Here, the elegance of human language meets the precision of machine intelligence.

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Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. The Brain (LLM Core) At the core of every LLM-based agent lies its brain, typically represented by a pre-trained language model like GPT-3 or BERT.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Innovators who want a custom AI can pick a “foundation model” like OpenAI’s GPT-3 or BERT and feed it their data. Customer support and customer service : While chatbots are still widely used, organizations have started merging technologies to change how chatbots work.

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Unite.AI

DECEMBER 13, 2024

Large language models (LLMs) , such as GPT-4 , BERT , Llama , etc., Simple rule-based chatbots, for example, could only provide predefined answers and could not learn or adapt. In customer support, for instance, AI-powered chatbots can store and retrieve user-specific details like purchase histories or previous complaints.

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Marktechpost

JANUARY 12, 2024

While ChatGPT does quite well in the OpenIE environment, it typically underperforms BERT-based models in the normal IE environment, according to the researchers. The post Can Your Chatbot Become Sherlock Holmes? Similarly, other researchers assess various IE subtasks concurrently to conduct a more thorough evaluation of LLMs.

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AI Weekly

JANUARY 4, 2024

macdailynews.com The Evolution Of AI Chatbots For Finance And Accounting At the end of 2023, these key components have rapidly merged through the evolution of large language models (LLMs) like ChatGPT and others. Sissie Hsiao, Google Sissie Hsiao, Google's vice president and the general manager of Bard and Google Assistant.

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Unite.AI

DECEMBER 27, 2023

These tools, such as OpenAI's DALL-E , Google's Bard chatbot , and Microsoft's Azure OpenAI Service , empower users to generate content that resembles existing data. Its applications range from chatbots to content creation and language translation. Its applications span from chatbots to content creation and language translation.

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Generative AI Chatbots Large Language Models OpenAI 217

AssemblyAI

MAY 3, 2023

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. With the increasing popularity of general-purpose chatbots like ChatGPT, millions of users now have access to exceptionally powerful LLMs.

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Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

NOVEMBER 10, 2023

Text analysis, translation, chatbots, and sentiment analysis are just some of its many applications. AugGPT’s framework consists of fine-tuning BERT on the base dataset, generating augmented data (Daugn) using ChatGPT, and fine-tuning BERT with the augmented data. This process enhances data diversity.

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BERT ChatGPT Large Language Models NLP 128

Unite.AI

DECEMBER 4, 2023

GPT 3 and similar Large Language Models (LLM) , such as BERT , famous for its bidirectional context understanding, T-5 with its text-to-text approach, and XLNet , which combines autoregressive and autoencoding models, have all played pivotal roles in transforming the Natural Language Processing (NLP) paradigm.

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Towards AI

JANUARY 14, 2025

To address this limitation, a new architecture called Bidirectional Encoder Representation of Transformer (BERT) was introduced. BERT focuses on text representation and is derived from the encoder component of the original transformer. Unlike the original transformer, BERT does not include a decoder. How is BERT Trained?

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Chatbots Life

AUGUST 23, 2024

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. The use cases of LLM for chatbots and LLM for conversational AI can be seen across all industries like FinTech, eCommerce, healthcare, cybersecurity, and the list goes on.

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Towards AI

SEPTEMBER 5, 2024

This week, we have discussed some of the latest industry innovations and trends like GraphRAG, Agentic chatbots, evolving trends with search engines, and some very interesting project-based collaboration opportunities. Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Enjoy the read!

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Algorithm Chatbots ML Machine Learning 85

Flipboard

MARCH 14, 2023

(BigStock Image) Editor’s note: Four months after the release of its ChatGPT chatbot, OpenAI unveiled its latest artificial intelligence technology, GPT-4 , on Tuesday. RELATED: Microsoft confirms Bing’s AI-powered search chatbot is running on OpenAI’s new GPT-4 More challenging is the fact that GPT-4 still is not trustworthy.

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AssemblyAI

JUNE 27, 2023

AudioLM’s two main components w2v-BERT and SoundStream are used to represent semantic and acoustic information in audio data ( source ). The approach focuses on training a system capable of performing audio continuation: given a brief audio sequence, the model generates an output that is coherent within its previous context.

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Marktechpost

MARCH 25, 2024

Large Language Models (LLMs) like ChatGPT, Google’s Bert, Gemini, Claude Models, and others have emerged as central figures, redefining our interaction with digital interfaces. LLMs like ChatGPT, Google’s BERT, and others exemplify the advancements in this field.

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Towards AI

JANUARY 7, 2025

In the case of BERT (Bidirectional Encoder Representations from Transformers), learning involves predicting randomly masked words (bidirectional) and sentence-order prediction. For instance, through instruction fine-tuning you can teach a model to behave more like a chatbot.

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Unite.AI

AUGUST 28, 2023

These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives. Chatbots & Early Voice Assistants : As technology evolved, so did our interfaces. Tools like Siri, Cortana, and early chatbots simplified user-AI interaction but had limited comprehension and capability.

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Marktechpost

MAY 2, 2024

Recent developments in this field have significantly impacted machine translation, chatbots, and automated text analysis. Existing research includes models like GPT, which excels at text generation and sentiment analysis, and BERT, known for its bidirectional training that improves context comprehension.

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Marktechpost

MAY 14, 2024

This technological advancement supports various applications, from search engines to chatbots, enhancing efficiency and effectiveness. The Jina framework specializes in long document processing, while BERT and its variants, like MiniLM and Nomic BERT, optimize for specific tasks like efficiency and long-context data handling.

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Unite.AI

NOVEMBER 20, 2023

Its robust natural language capabilities empower developers to build and fine-tune powerful chatbots, language translation, and content generation systems. Applications & Impact Meta's Llama is compared to other prominent LLMs, such as BERT and GPT-3.

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Pickl AI

DECEMBER 24, 2024

BERT (Bidirectional Encoder Representations from Transformers) : A transformer-based model that provides contextual embeddings for words in a sentence, capturing nuanced meanings based on surrounding words. Customer Support Enhancement RAG technology significantly improves customer support systems, particularly through chatbots.

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Marktechpost

SEPTEMBER 22, 2024

Generator: The generator, usually a large language model like GPT, BERT, or similar architectures, then processes the query and the retrieved documents to generate a coherent response. For example, in an enterprise chatbot, one agent may focus on retrieving technical documents while another handles customer feedback.

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Marktechpost

JULY 4, 2023

Chatbot/support agent assist Tools like LaMDA, Rasa, Cohere, Forethought, and Cresta can be used to power chatbots or enhance the productivity of customer care personnel. RoBERTa (Robustly Optimized BERT Approach) is the outcome, and it achieves XLNet-level performance on the GLUE (General Language Understanding Evaluation) test.

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Flipboard

JUNE 20, 2023

Training experiment: Training BERT Large from scratch Training, as opposed to inference, is a finite process that is repeated much less frequently. Training a well-performing BERT Large model from scratch typically requires 450 million sequences to be processed. The first uses traditional accelerated EC2 instances.

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John Snow Labs

JUNE 27, 2023

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna.

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Large Language Models BERT Natural Language Processing NLP 52

AssemblyAI

SEPTEMBER 18, 2023

From chatbots that provide human-like interactions to tools that can draft articles or assist in creative writing, LLMs have expanded the horizons of what's possible with AI-driven language tasks. BERT BERT stands for Bidirectional Encoder Representations from Transformers, and it's a large language model by Google.

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Marktechpost

APRIL 16, 2024

The framework is widely used in building chatbots, retrieval-augmented generation, and document summarization apps. The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc.

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Large Language Models Auto-complete Prompt Engineering Prompt Engineer 104

Bitext

JULY 12, 2023

Password Protected To view this protected post, enter the password below: Password: Submit The post Protected: Enhancing Traditional NLUs with LLMs: Exploring the Case of Rasa NLU + BERT LLMs appeared first on Bitext. chatbots that work. We help AI understand humans.

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Unite.AI

OCTOBER 11, 2024

This dynamic functionality makes RAG more agile and accurate than models like GPT-3 or BERT , which rely on knowledge acquired during training that can quickly become outdated. Imagine financial giants like Bloomberg using chatbots to perform real-time statistical analysis based on fresh market insights.

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Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

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Marktechpost

JULY 1, 2024

The framework uses public data from Chatbot Arena and incorporates novel training methods. BERT classifier: Predicts which model can provide a better response. Four different routers were trained: Similarity-weighted (SW) ranking router: Performs a “weighted Elo calculation” based on similarity.

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Marktechpost

MAY 19, 2024

RAG has significantly improved the performance of virtual assistants, chatbots, and information retrieval systems by ensuring that generated responses are accurate and contextually appropriate. Current methods in the field include keyword-based search engines and advanced neural network models like BERT and GPT.

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ODSC - Open Data Science

FEBRUARY 17, 2023

BERT is still very popular over the past few years and even though the last update from Google was in late 2019 it is still widely deployed. BERT stands out thanks to its strong affinity for question-answering and context-based similarity searches, making it reliable for chatbots and other related applications.

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Unite.AI

FEBRUARY 23, 2024

As the course progresses, “Language Models and Transformer-based Generative Models” take center stage, shedding light on different language models, the Transformer architecture, and advanced models like GPT and BERT. Building a customer service chatbot using all the techniques covered in the course.

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