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 10, 2024

For too long, the world of natural language processing has been dominated by models that primarily cater to the English language. However, a groundbreaking new development is set to challenge this status quo and usher in a more inclusive era of language models – the Chinese Tiny LLM (CT-LLM).

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John Snow Labs

SEPTEMBER 5, 2023

In its fourth year, the event is the world’s largest gathering of the artificial intelligence (AI) community that explores today’s cutting edge use cases, advancements, and challenges of applied natural language processing (NLP) and large language models (LLMs).

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Mlearning.ai

JUNE 7, 2023

This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks. Photo by Pietro Mattia on Unsplash Now in 2023, we are firmly in the LLM hype train.

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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). This paper explored models using fine-tuning and transfer learning.

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Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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Analytics Vidhya

DECEMBER 12, 2023

Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.

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Marktechpost

APRIL 25, 2024

In this article, we delve into 25 essential terms to enhance your technical vocabulary and provide insights into the mechanisms that make LLMs so transformative. Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1.

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Flipboard

JUNE 20, 2023

Galileo, a San Francisco-based artificial intelligence startup, announced today the launch of Galileo LLM Studio, a platform to diagnose and fix issues with large language models. The platform aims to help companies deploy natural language processing models into production faster by detecting …

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Marktechpost

JANUARY 14, 2024

Language Model evaluation is crucial for developers striving to push the boundaries of language understanding and generation in natural language processing. Meet LLM AutoEval : a promising tool designed to simplify and expedite the process of evaluating Language Models (LLMs).

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Becoming Human

APRIL 19, 2024

Towards Improving the Safety of LLMs The field of Natural Language Processing has undergone a revolutionary transformation with the advent of Large Language Models (LLMs). An ideal defense strategy should make the LLM safe against the unsafe inputs without making it over-defensive on the safe inputs.

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Marktechpost

DECEMBER 4, 2023

Large Language Models (LLMs) are artificial intelligence models for natural language processing tasks. They have transformed natural language processing with their ability to understand and develop human-like text. The utility is in every field of life.

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Marktechpost

FEBRUARY 14, 2024

The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry, and beyond. Addressing this challenge, a groundbreaking framework developed at Microsoft Research, TAG-LLM, emerges.

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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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Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have transformed natural language processing, offering user modeling and personalization opportunities. Directly fine-tuning LLMs with interaction histories faces hurdles like sparse data, multimodal interactions, and lengthy sequences.

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AI Weekly

MAY 2, 2024

Planning a GenAI or LLM project? reviewjournal.com Research 8 Best Natural Language Processing Tools 2024 Compare features and choose the best Natural Language Processing (NLP) tool for your business. techxplore.com Sponsor Planning a GenAI or LLM Project? techmonitor.ai techmonitor.ai

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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). In conclusion, the paper introduces LAB as a novel methodology to address the scalability challenges in instruction tuning for LLMs.

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Marktechpost

DECEMBER 12, 2023

Large Language Models (LLMs) like ChatGPT have revolutionized natural language processing, showcasing their prowess in various language-related tasks. However, these models grapple with a critical issue – the auto-regressive decoding process, wherein each token requires a full forward pass.

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Analytics Vidhya

MAY 8, 2023

Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.

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Marktechpost

FEBRUARY 5, 2024

In the rapidly evolving data analysis landscape, the quest for robust time series forecasting models has taken a novel turn with the introduction of TIME-LLM, a pioneering framework developed by a collaboration between esteemed institutions, including Monash University and Ant Group.

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Marktechpost

MARCH 22, 2024

Despite the remarkable progress of LLMs in natural language processing, they remain susceptible to jailbreak attempts. Yet, comparing these attacks proves challenging due to variations in evaluation criteria and the absence of readily available source code, exacerbating efforts to identify and counter LLM vulnerabilities.

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Marktechpost

MARCH 6, 2024

The natural language processing (NLP) field has witnessed significant advancements with the emergence of Large Language Models (LLMs) like GPT and LLaMA. These models have become essential tools for various tasks, prompting a growing need for proprietary LLMs among individuals and organizations.

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Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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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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Topbots

APRIL 29, 2024

Here are a few that might worth your attention: Reasoning with Language Model Prompting: A Survey. This paper, first published in December 2022, may not cover the most recent developments in LLM reasoning but still offers a comprehensive survey of available approaches. Large Language Models Cannot Self-Correct Reasoning Yet.

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Marktechpost

JANUARY 5, 2024

Large Language Models (LLMs) have ushered a new era in the field of Artificial Intelligence (AI) through their exceptional natural language processing capabilities. From mathematical reasoning to code generation and even drafting legal opinions, LLMs find their applications in almost every field.

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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. This Llama 2-based multilingual LLM has 7B parameters specifically designed for translation-related tasks.

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Marktechpost

DECEMBER 7, 2023

Covering scaling laws, data utilization, architectural innovations, training strategies, and inference techniques, it outlines core LLM concepts and efficiency metrics. The review provides a thorough, up-to-date overview of methodologies contributing to efficient LLM development. Check out the Paper.

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Marktechpost

APRIL 9, 2024

In natural language processing, the advent of large language models (LLMs) has transformed how we interact with textual data. Meet Instructor, a Python library that offers a seamless experience for managing structured outputs from LLMs. models effortlessly.

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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. times that of the Stable-Code-3B.

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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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Marktechpost

FEBRUARY 3, 2024

MambaByte MOE Token-free language models have represented a significant shift in Natural Language Processing (NLP), as they learn directly from raw bytes, bypassing the biases inherent in subword tokenization. While requiring 2.2 times fewer training steps than Mamba, it achieves the same level of performance.

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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 16, 2024

Large Language Models (LLMs) signify a remarkable advance in natural language processing and artificial intelligence. These models, exemplified by their ability to understand and generate human language, have revolutionized numerous applications, from automated writing to translation.

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Analytics Vidhya

OCTOBER 19, 2023

Introduction Step into the forefront of language processing! In a realm where language is an essential link between humanity and technology, the strides made in Natural Language Processing have unlocked some extraordinary heights.

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Marktechpost

APRIL 12, 2024

Natural Language Processing (NLP) tasks heavily rely on text embedding models as they translate the semantic meaning of text into vector representations. These representations make it possible to quickly complete a variety of NLP tasks, including information retrieval, grouping, and semantic textual similarity.

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Analytics Vidhya

DECEMBER 5, 2023

Your dream entry into this field requires expertise and hands-on experience in natural language processing. Get job-ready with in-depth knowledge and application skills of different Large Language Models (LLMs). Introduction Has contributing to the realm of artificial intelligence been your passion?

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