Marktechpost

JULY 5, 2023

This GPT transformer architecture-based model imitates humans by answering questions accurately just like a human, generates content for blogs, social media, research, etc., translates languages, summarizes long textual paragraphs while retaining the important key points, and even generates code samples.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 106

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. Training these models, however, is challenging. If you like our work, you will love our newsletter.

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Computational Linguistics Large Language Models LLM BERT 116

Marktechpost

JULY 19, 2023

Large language models (LLMs) are computer models capable of analyzing and generating text. Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc. This allows the models to generate responses incorporating information from multiple modalities, leading to more accurate and contextual outputs.

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Artificial Intelligence Artificial Intelligence Large Language Models Robotics 98

Marktechpost

JULY 11, 2023

Since its introduction, new models and research papers are getting released almost every other day. The major reason for the exponentially increasing popularity is the development of Large Language Models. Recently, a new AI tool has been released, which has even more potential than ChatGPT. What is AutoGPT?

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Auto-complete Generative AI Large Language Models OpenAI 40

Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic. Sign up for more AI research updates.

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 59

AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

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Large Language Models LLM Machine Learning ML 83

Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

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LLM Large Language Models Natural Language Processing OpenAI 52

ODSC - Open Data Science

FEBRUARY 14, 2023

It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. But, like other large language models, it can be amusingly wrong. For example, Seek AI , a developer of AI-powered intelligent data solutions, announced it has raised $7.5

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ChatGPT Large Language Models OpenAI Conversational AI 124

AWS Machine Learning Blog

APRIL 29, 2024

To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development expense. We are happy to help you get started.

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ODSC - Open Data Science

APRIL 11, 2023

Speaker: Akash Tandon, Co-Founder and Co-author of Advanced Analytics with PySpark | Looppanel and O’Reilly Media Self-Supervised and Unsupervised Learning for Conversational AI and NLP Self-supervised and Unsupervised learning techniques such as Few-shot and Zero-shot learning are changing the shape of AI research and product community.

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NLP Large Language Models Data Science Big Data 96

Marktechpost

JULY 16, 2023

The previous year saw a significant increase in the amount of work that concentrated on Computer Vision (CV) and Natural Language Processing (NLP). Because of this, academics worldwide are looking at the potential benefits deep learning and large language models (LLMs) might bring to audio generation.

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Large Language Models Categorization Natural Language Processing Computer Vision 98

Mlearning.ai

JUNE 8, 2023

A few embeddings for different data type For text data, models such as Word2Vec , GLoVE , and BERT transform words, sentences, or paragraphs into vector embeddings. Images can be embedded using models such as convolutional neural networks (CNNs) , Examples of CNNs include VGG , and Inception. What are Vector Embeddings?

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John Snow Labs

MAY 8, 2024

Pathology, an aspect of diagnosis is undergoing significant changes, with the emergence of Large Language Models (LLMs). Propelled by advancements in intelligence (AI) and machine learning (ML) LLMs are reshaping the way we analyze and interpret the intricate datasets found in pathology.

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Large Language Models Automation NLP Machine Learning 40

Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.

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Data Scientist AI AI LLM 52

Sebastian Ruder

NOVEMBER 14, 2022

Models that allow interaction via natural language have become ubiquitious. Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities.

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Natural Language Processing NLP Computational Linguistics AI 52

Snorkel AI

OCTOBER 17, 2023

How does BloombergGPT, which was purpose-built for finance, differ in its training and design from generic large language models ? If you look at recent announcements from companies about new large language models, the training-data mix and distribution is often one of the pieces they keep most secret.

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Large Language Models NLP Prompt Engineer Prompt Engineering 64

Snorkel AI

OCTOBER 17, 2023

How does BloombergGPT, which was purpose-built for finance, differ in its training and design from generic large language models ? If you look at recent announcements from companies about new large language models, the training-data mix and distribution is often one of the pieces they keep most secret.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59

Unite.AI

SEPTEMBER 20, 2023

Hugging Face is an AI research lab and hub that has built a community of scholars, researchers, and enthusiasts. In a short span of time, Hugging Face has garnered a substantial presence in the AI space. These are deep learning models used in NLP.

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Marktechpost

JULY 24, 2023

Researchers believe they can train a language model because of the competition to construct enormously large models that the power of scale has sparked. The initial BERT model is used for many real-world applications in natural language processing.

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Topbots

JUNE 15, 2023

Large language models such as ChatGPT process and generate text sequences by first splitting the text into smaller units called tokens. Over a hundred years ago, telegraphy, a revolutionary technology of its time (“the internet of its era”), faced language inequities similar to those we see in today’s large language models.

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Natural Language Processing Computational Linguistics NLP ChatGPT 59

Marktechpost

APRIL 16, 2024

In recent years, there has been a great inclination toward Large Language Models (LLMs) due to their amazing text generation, analysis, and classification capabilities. These models use billions of parameters to execute a variety of Natural Language Processing (NLP) tasks.

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Topbots

JUNE 6, 2023

Autoencoding models, which are better suited for information extraction, distillation and other analytical tasks, are resting in the background — but let’s not forget that the initial LLM breakthrough in 2018 happened with BERT, an autoencoding model. Scaling Laws for Neural Language Models. [7] 7] Jason Wei et al.

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