Marktechpost

NOVEMBER 10, 2023

NLP, or Natural Language Processing, is a field of AI focusing on human-computer interaction using language. Text analysis, translation, chatbots, and sentiment analysis are just some of its many applications. NLP aims to make computers understand, interpret, and generate human language.

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Marktechpost

MAY 2, 2024

Natural language processing (NLP) focuses on enabling computers to understand and generate human language, making interactions more intuitive and efficient. Recent developments in this field have significantly impacted machine translation, chatbots, and automated text analysis.

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NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. Modern techniques can capture the nuance, context, and sophistication of language, just as humans do. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

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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

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

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Large Language Models BERT Natural Language Processing Categorization 104

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Marktechpost

MAY 14, 2024

In the expanding natural language processing domain, text embedding models have become fundamental. These models convert textual information into a numerical format, enabling machines to understand, interpret, and manipulate human language.

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Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. 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. billion word corpus).

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NLP BERT Large Language Models Natural Language Processing 98

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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Conversational AI Chatbots Large Language Models LLM 72

Towards AI

JANUARY 7, 2025

Well do so in three levels: first, by manually adding a classification head in PyTorch* and training the model so you can see the full process; second, by using the Hugging Face* Transformers library to streamline the process; and third, by leveraging PyTorch Lightning* and accelerators to optimize training performance.

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Towards AI

DECEMBER 28, 2023

The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP). These models are trained on massive amounts of text data to learn patterns and relationships in the language.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. BERT even accounts for the context of words, allowing for more accurate results related to respective queries and tasks.

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Artificial Corner

JULY 30, 2023

Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. Image by YouTube video “Introduction to large language models” on YouTube Channel “Google Cloud Tech” What are Large Language Models? Natural Language Processing (NLP) is a subfield of artificial intelligence.

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Large Language Models LLM Natural Language Processing Deep Learning 98

Unite.AI

NOVEMBER 20, 2023

Overview of Meta Llama Project Overview of Llama 2 pre-training and fine-tuning process As a pivotal tool within Meta's ecosystem, Llama has far-reaching implications. Its robust natural language capabilities empower developers to build and fine-tune powerful chatbots, language translation, and content generation systems.

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Marktechpost

JANUARY 15, 2025

These limitations are particularly significant in fields like medical imaging, autonomous driving, and natural language processing, where understanding complex patterns is essential. This approach is not only time-consuming but can also miss subtle patterns in the data. What is Deep Learning?

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Chatbots – LLMs are frequently utilized in the creation of chatbots and systems that use conversational AI.

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Large Language Models Natural Language Processing LLM BERT 98

Pickl AI

JANUARY 26, 2025

These models mimic the human brain’s neural networks, making them highly effective for image recognition, natural language processing, and predictive analytics. Transformer Models Transformer models have revolutionised the field of Deep Learning, particularly in Natural Language Processing (NLP).

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John Snow Labs

JUNE 27, 2023

Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. and GPT-4, marked a significant advancement in the field of large language models.

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Large Language Models BERT Natural Language Processing NLP 52

Flipboard

JULY 4, 2023

Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. The well-known chatbot called ChatGPT, based on GPT architecture and developed by OpenAI, imitates humans by generating accurate and creative content, answering questions, summarizing massive textual paragraphs, and language translation.

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Large Language Models Machine Learning Natural Language Processing BERT 137

AssemblyAI

SEPTEMBER 18, 2023

Original natural language processing (NLP) models were limited in their understanding of language. LLMs leverage deep learning architectures to process and understand the nuances and context of human language. Bloom Bloom is an autoregressive large language model developed by BigScience with 176B parameters.

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Large Language Models BERT Auto-complete LLM 130

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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Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. Building a customer service chatbot using all the techniques covered in the course.

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Marktechpost

JULY 5, 2023

ChatGPT, the latest chatbot developed by OpenAI, has been in the headlines ever since its release. translates languages, summarizes long textual paragraphs while retaining the important key points, and even generates code samples.

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Marktechpost

JUNE 12, 2023

This chatbot, based on Natural Language Processing (NLP) and Natural Language Understanding (NLU), allows users to generate meaningful text just like humans. Other LLMs, like PaLM, Chinchilla, BERT, etc., It meaningfully answers questions, summarizes long paragraphs, completes codes and emails, etc.

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Large Language Models Natural Language Processing BERT Artificial Intelligence 104

NVIDIA

FEBRUARY 11, 2025

That work inspired researchers who created BERT and other large language models , making 2018 a watershed moment for natural language processing, a report on AI said at the end of that year.

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. LLMs utilize embeddings to understand word context.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

Unite.AI

SEPTEMBER 13, 2024

This is a crucial advancement in real-time applications such as chatbots, recommendation systems, and autonomous systems that require quick responses. These techniques allow TensorRT-LLM to optimize inference performance for deep learning tasks such as natural language processing, recommendation engines, and real-time video analytics.

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Large Language Models LLM Natural Language Processing Auto-complete 130

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

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BERT Natural Language Processing Large Language Models Neural Network 83

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., For example, large language models (LLMs) are trained by randomly replacing some of the tokens in training data with a special token, such as [MASK].

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ODSC - Open Data Science

JANUARY 17, 2025

Imagine you want to flag a suspicious transaction in your bank account, but the AI chatbot just keeps responding with your account balance. Implicit Learning of Intent : LLMs like GPT, BERT, or other transformer-based models learn to predict the next word or fill in missing text based on surrounding context.

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NLP Natural Language Processing BERT Chatbots 40

Marktechpost

JULY 19, 2023

Large Language Models (LLMs) are becoming popular with every new update and new releases. LLMs like BERT, GPT, and PaLM have shown tremendous capabilities in the field of Natural Language Processing and Natural Language Understanding.

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Dlabs.ai

AUGUST 10, 2020

Clearly, chatbots are here to stay. Not all are made equal, however – the choice of technology is what sets great chatbots apart from the rest. Despite 80% of surveyed businesses wanting to use chatbots in 2020 , how many do you think will implement them well? AI researchers have been building chatbots for well over sixty years.

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Pickl AI

DECEMBER 26, 2024

Semantic search uses Natural Language Processing (NLP) and Machine Learning to interpret the intent behind a users query, enabling more accurate and contextually relevant results. Embedding models are the backbone of semantic search, powering applications in Natural Language Processing (NLP), recommendation systems, and more.

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John Snow Labs

MAY 26, 2023

Sentence embeddings are a powerful tool in natural language processing that helps analyze and understand language. Specifically, it involves using pre-trained transformer models, such as BERT or RoBERTa, to encode text into dense vectors that capture the semantic meaning of the sentences.

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Pickl AI

DECEMBER 5, 2024

Its key features support scalable designs, efficient prompt management, and real-time data processing. It is ideal for creating robust AI solutions across various industries, from chatbots to personalised recommendation systems. Ideal for building intelligent chatbots, personalised recommendations, and automated content generation.

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Pickl AI

AUGUST 14, 2024

Different types of neural networks, such as feedforward, convolutional, and recurrent networks, are designed for specific tasks like image recognition, Natural Language Processing, and sequence modelling. BERT and GPT) are used for tasks like machine translation, sentiment analysis, and text generation.

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Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. In the 2010s, this research intersected with the then-bustling field of neural networks, setting the ground for the first large language model.

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