Analytics Vidhya

MAY 6, 2023

Introduction Large Language Models (LLMs) are now widely used in a variety of applications, like machine translation, chat bots, text summarization , sentiment analysis , making advancements in the field of natural language processing (NLP).

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Analytics Vidhya

OCTOBER 12, 2023

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.

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Flipboard

OCTOBER 18, 2023

Large Language Models (LLMs) have unlocked a new era in natural language processing. Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide. So why not learn more about them?

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Unite.AI

NOVEMBER 14, 2023

They'll interact with LLM, providing training data and examples to achieve tasks, shifting the focus from intricate coding to strategically working with AI models. The post Will Large Language Models End Programming? In this new age, the role of engineers and computer scientists will transform significantly.

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Analytics Vidhya

JULY 5, 2023

In a world where language is the bridge connecting people and technology, advancements in Natural Language Processing (NLP) have opened up incredible opportunities.

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Unite.AI

DECEMBER 14, 2023

Data contamination in Large Language Models (LLMs) is a significant concern that can impact their performance on various tasks. It refers to the presence of test data from downstream tasks in the training data of LLMs. What Are Large Language Models?

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Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn.

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Analytics Vidhya

OCTOBER 9, 2023

Introduction Large language models, or LLMs, have taken the world of natural language processing by storm. They are powerful AI systems designed to generate human-like text and comprehend and respond to natural language inputs.

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Marktechpost

APRIL 30, 2024

Large Language Models (LLMs) signify a revolutionary leap in numerous application domains, facilitating impressive accomplishments in diverse tasks. With billions of parameters, these models demand extensive computational resources for operation. Yet, their immense size incurs substantial computational expenses.

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Marktechpost

DECEMBER 4, 2023

Large Language Models (LLMs) are artificial intelligence models for natural language processing tasks. These models are trained on massive datasets and can understand and generate human-like text. The utility is in every field of life.

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Large Language Models LLM Natural Language Processing Chatbots 139

AI News

FEBRUARY 15, 2024

Researchers at Amazon have trained a new large language model (LLM) for text-to-speech that they claim exhibits “emergent” abilities. The 980 million parameter model, called BASE TTS, is the largest text-to-speech model yet created.

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Marktechpost

MAY 2, 2024

The development of natural language processing has been significantly propelled by the advancements in large language models (LLMs). Unlike traditional methods that rely on external drafter models, Kangaroo uses a fixed shallow LLM sub-network as the draft model. With up to a 1.7×

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Marktechpost

JANUARY 17, 2024

With the growth of large language models, natural language processing has been revolutionized. Many LLMs, like GPT-3.5, LLaMA, and Mixtral, came up last year, which helped tackle diverse language tasks. Thorough research has been done to tackle this challenge.

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Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry.

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Large Language Models LLM Machine Learning Natural Language Processing 124

Unite.AI

DECEMBER 4, 2023

Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts. Despite their excellent language abilities these models are expensive due to high energy consumption, considerable memory requirements as well as heavy computational costs.

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Marktechpost

MARCH 19, 2024

IBM researchers have introduced LAB (Large-scale Alignment for chatbots) to address the scalability challenges encountered during the instruction-tuning phase of training large language models (LLMs).

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Large Language Models LLM Natural Language Processing Chatbots 113

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.

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Marktechpost

DECEMBER 7, 2023

Can We Optimize Large Language Models More Efficiently? Covering scaling laws, data utilization, architectural innovations, training strategies, and inference techniques, it outlines core LLM concepts and efficiency metrics. The study surveys algorithmic advancements that enhance the efficiency of LLMs.

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Marktechpost

JANUARY 20, 2024

Other models showed slightly better performance in either only one of the languages or an extremely large model with 2.5 In conclusion, the stable-code-3b model represents a powerful tool for developers seeking a foundational base in natural language processing applications.

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Marktechpost

NOVEMBER 9, 2023

The biggest advancement in the field of Artificial Intelligence is the introduction of Large Language Models (LLMs). These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry.

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Marktechpost

MARCH 10, 2024

Developing and refining Large Language Models (LLMs) has become a focal point of cutting-edge research in the rapidly evolving field of artificial intelligence, particularly in natural language processing.

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Marktechpost

JANUARY 28, 2024

In the evolving landscape of artificial intelligence and natural language processing, utilizing large language models (LLMs) has become increasingly prevalent. However, one of the challenges that persist in this domain is enabling these models to engage in role-play effectively.

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Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).

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Towards AI

AUGUST 10, 2023

Embarking on a Journey with Large Language Models (LLMs) This member-only story is on us. The world of artificial intelligence has been revolutionized by the emergence of Large Language Models (LLMs). Upgrade to access all of Medium. Join thousands of data leaders on the AI newsletter.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 97

Marktechpost

APRIL 9, 2024

In natural language processing, the advent of large language models (LLMs) has transformed how we interact with textual data. Among the tools available for leveraging these powerful models, one stands out for its simplicity and effectiveness: Instructor. models effortlessly.

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Marktechpost

MARCH 3, 2024

Large Language Models (LLMs) such as GPT-4, Gemini, and Llama-2 are at the forefront of a significant shift in data annotation processes, offering a blend of automation, precision, and adaptability previously unattainable with manual methods. Check out the Paper. If you like our work, you will love our newsletter.

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Large Language Models Prompt Engineer Prompt Engineering Machine Learning 94

Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

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Large Language Models Neural Network Natural Language Processing Deep Learning 98

Marktechpost

MARCH 4, 2024

In the rapidly evolving field of artificial intelligence, the development and application of large language models (LLMs) stand at the forefront of innovation, offering unparalleled data processing and analysis capabilities. Check out the Paper. Also, don’t forget to follow us on Twitter and Google News.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 126

Marktechpost

JANUARY 6, 2024

Recently, GPT-4 and other Large Language Models (LLMs) have demonstrated an impressive capacity for Natural Language Processing (NLP) to memorize extensive amounts of information, possibly even more so than humans. It will take time and money to retrain everyone to fix these problems.

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Large Language Models Natural Language Processing LLM AI 124

Marktechpost

MARCH 1, 2024

The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with remarkable accuracy.

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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 98

Marktechpost

JANUARY 26, 2024

With the advancement of AI in recent times, large language models are being used in many fields. These models are trained on larger datasets and require bigger training datasets. These are used in various natural language processing (NLP) tasks, such as dialogue systems, machine translation, information retrieval, etc.

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Large Language Models Natural Language Processing LLM NLP 124

Marktechpost

MARCH 26, 2024

Large language models (LLMs) are at the forefront of technological advancements in natural language processing, marking a significant leap in the ability of machines to understand, interpret, and generate human-like text. Similarly, on the CaseHOLD dataset, there was a 32.6% increase was observed.

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Marktechpost

FEBRUARY 20, 2024

Large Language Models (LLMs) such as GPT, PaLM, and LLaMa have made major advancements in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) by enabling machines to comprehend and produce content that is similar to that of humans.

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Large Language Models LLM Neural Network Natural Language Processing 92

Marktechpost

APRIL 6, 2024

TRIZ is a knowledge-based ideation methodology that provides a structured framework for engineering problem-solving by identifying and overcoming technical contradictions using inventive principles derived from a large-scale patent database. While human expert analysis carries subjectivity and bias, it serves as a benchmark for comparison.

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Large Language Models Automation Natural Language Processing Categorization 130

Marktechpost

JANUARY 22, 2024

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency.

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Marktechpost

JANUARY 26, 2024

The development of large language models (LLMs) like GPT and LLaMA has marked a significant milestone. These models have become indispensable tools for various natural language processing tasks. This has led to an increasing interest in developing cost-effective alternatives.

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