Unite.AI

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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Marktechpost

JULY 3, 2023

From deep learning, Natural Language Processing (NLP), and Natural Language Understanding (NLU) to Computer Vision, AI is propelling everyone into a future with endless innovations. Almost every industry is utilizing the potential of AI and revolutionizing itself.

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AI Weekly

JANUARY 4, 2024

businessinsider.com Tech Trends 2024: AI and electric vehicle deals From computer code, to artwork, to essays, generative AI systems can quickly create a range of content which, while not perfect, has become an essential tool in some industries and professions. Apptronik launched its humanoid robot "Apollo" in August.

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Robotics Large Language Models Artificial Intelligence Artificial Intelligence 216

Marktechpost

DECEMBER 10, 2023

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining has substantially contributed to computer vision in addition to NLP.

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Marktechpost

MAY 27, 2024

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. These tasks challenge models to effectively access, retrieve, and utilize external knowledge sources, producing accurate and relevant outputs. Check out the Paper.

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Marktechpost

JANUARY 3, 2024

Natural Language Processing (NLP) tasks extensively make use of text embeddings. Text embeddings encode semantic information contained in text by acting as vector representations of natural language. These techniques, however, are unable to capture the rich contextual information included in real language fully.

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Artificial Intelligence Artificial Intelligence Large Language Models BERT 100

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. All credit for this research goes to the researchers of this project. Check out the Paper.

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Computational Linguistics Large Language Models LLM BERT 113

AssemblyAI

MAY 3, 2023

We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning. The problem of how to mitigate the risks and misuse of these AI models has therefore become a primary concern for all companies offering access to large language models as online services.

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Marktechpost

JULY 22, 2023

Large Language Models (LLMs) are the current hot topic in the field of Artificial Intelligence. The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. Check out the Github Link , Project , and Blog.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 52

Marktechpost

JULY 22, 2023

State-of-the-art large language models (LLMs), including BERT, GPT-2, BART, T5, GPT-3, and GPT-4, have been developed as a result of recent advances in machine learning, notably in the area of natural language processing (NLP). Several recent attempts address these issues by using NLP’s answers.

Computer Vision 52

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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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Analytics Vidhya

JUNE 7, 2024

Introduction The field of medical AI has witnessed remarkable advancements in recent years, with the development of powerful language models and datasets driving progress.

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Marktechpost

JUNE 12, 2023

Large Language Models are rapidly advancing with the huge success of Generative Artificial Intelligence in the past few months. This chatbot, based on Natural Language Processing (NLP) and Natural Language Understanding (NLU), allows users to generate meaningful text just like humans.

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Large Language Models Natural Language Processing BERT Artificial Intelligence 101

Marktechpost

NOVEMBER 10, 2023

NLP, or Natural Language Processing, is a field of AI focusing on human-computer interaction using language. NLP aims to make computers understand, interpret, and generate human language. The authors conducted experiments using BERT as the base model to evaluate the proposed technique.

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BERT ChatGPT Large Language Models NLP 122

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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ODSC - Open Data Science

APRIL 11, 2023

A lot goes into NLP. Languages, dialects, unstructured data, and unique business needs all contribute to requiring constant innovation from the field. Going beyond NLP platforms and skills alone, having expertise in novel processes, and staying afoot in the latest research are becoming pivotal for effective NLP implementation.

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NLP Large Language Models Data Science Big Data 96

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

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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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. One of the key features of large language models is their ability to generate human-like text.

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ChatGPT Large Language Models OpenAI Conversational AI 124

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

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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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. In speech, wav2vec 2.0 [15]

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

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?

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Chatbots Life

MAY 12, 2023

The goal of this article is to demystify ChatGPT showing how it works and why is it that effective, describing what are language modes, why are they so popular and what is their problem. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers.

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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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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 ? What are the key advantages that it offers for financial NLP tasks? And, at Bloomberg, we’ve been doing NLP for a long time. We were already well positioned.

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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 ? What are the key advantages that it offers for financial NLP tasks? And, at Bloomberg, we’ve been doing NLP for a long time. We were already well positioned.

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Large Language Models NLP Prompt Engineer Prompt Engineering 59

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. Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research.

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Natural Language Processing Computational Linguistics NLP ChatGPT 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. Transformers in NLP In 2017, Cornell University published an influential paper that introduced transformers.

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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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Unite.AI

NOVEMBER 23, 2023

Introduction The evolution of open large language models (LLMs) has significantly impacted the AI research community, particularly in developing chatbots and similar applications. Constructing ZEPHYR-7B To validate dDPO, researchers constructed ZEPHYR-7B, an aligned version of the Mistral-7B model.

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Topbots

JUNE 6, 2023

In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders. 7] Jason Wei et al.

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