Analytics Vidhya

NOVEMBER 8, 2023

Introduction 2023 has been an AI year, from language models to stable diffusion models. It is a multimodal large language model (MLLM) making waves with groundbreaking capabilities in understanding text and images.

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Large Language Models AI AI Generative AI 283

IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content.

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Large Language Models LLM Explainability Chatbots 231

Analytics Vidhya

FEBRUARY 16, 2024

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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Large Language Models Natural Language Processing NLP AI Researcher 221

Unite.AI

FEBRUARY 28, 2024

Large language models (LLMs) like GPT-4, DALL-E have captivated the public imagination and demonstrated immense potential across a variety of applications. However, for all their capabilities, these powerful AI systems also come with significant vulnerabilities that could be exploited by malicious actors.

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Large Language Models LLM Machine Learning Neural Network 162

Unite.AI

OCTOBER 16, 2023

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. These models are trained on vast datasets encompassing a broad spectrum of internet text.

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Marktechpost

MARCH 8, 2024

At this juncture, the focal point of interest is enhancing large language models (LLMs), propelling them beyond mere response generation to mastering multi-turn decision-making tasks. ArCHer’s impact extends to the broader landscape of AI and machine learning.

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Large Language Models Machine Learning Artificial Intelligence Artificial Intelligence 124

Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

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Machine Learning Large Language Models LLM BERT 294

Marktechpost

MAY 4, 2024

Machine learning focuses on creating algorithms that enable computers to learn from data and improve performance over time. It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. Check out the Paper. Also, don’t forget to follow us on Twitter.

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Large Language Models Natural Language Processing Machine Learning AI 111

IBM Journey to AI blog

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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Marktechpost

MARCH 28, 2024

Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. One way an individual can stay updated with the latest trends is by reading books on various facets of AI.

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Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 130

Unite.AI

JANUARY 26, 2024

Recent advances in large language models (LLMs) like GPT-4, PaLM have led to transformative capabilities in natural language tasks. The system's ability to slash loading and startup times unblocks the scalable deployment of large language models for practical applications.

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Large Language Models LLM Software Architect Chatbots 241

Marktechpost

APRIL 28, 2024

The popularity of AI has skyrocketed in the past few years, with new avenues being opened up with the rise in the use of large language models (LLMs). Having knowledge of AI has now become quite essential as recruiters are actively looking for candidates with a strong foundation in the same.

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Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 95

AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Large Language Models Neural Network LLM Chatbots 363

Marktechpost

APRIL 27, 2024

Large language models (LLMs) are the backbone of numerous computational platforms, driving innovations that impact a broad spectrum of technological applications. Optimizing LLM performance without prohibitive computational expenses is a significant challenge in this field. Check out the Paper.

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Large Language Models Machine Learning LLM ML 100

Marktechpost

APRIL 21, 2024

The following six free AI courses offer a structured pathway for beginners to start their journey into the world of artificial intelligence. Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods.

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Artificial Intelligence Artificial Intelligence BERT Large Language Models 109

Marktechpost

APRIL 10, 2024

Fine-tuning large language models (LLMs) enhances task performance and ensures adherence to instructions while modifying behaviors. However, this process incurs significant costs due to high GPU memory requirements, especially for large models like LLaMA 65B and GPT-3 175B.

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Large Language Models Machine Learning Artificial Intelligence Artificial Intelligence 97

Marktechpost

MAY 6, 2024

Large Language Models (LLMs) have demonstrated remarkable abilities in generating human-like text, answering questions, and coding. Reinforcement Learning from Human Feedback (RLHF), or Preference-based Reinforcement Learning (PbRL), emerges as a promising solution. and remains competitive with GPT-4 on MT-Bench.

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Marktechpost

MARCH 17, 2024

In the rapidly advancing domain of artificial intelligence, the efficient operation of large language models (LLMs) on consumer-level hardware represents a significant technical challenge. This issue arises from the inherent trade-off between the models’ size and computational efficiency.

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Large Language Models Machine Learning Algorithm LLM 126

Marktechpost

OCTOBER 16, 2023

In the ever-evolving landscape of artificial intelligence, there has long been a challenge that plagues developers and users alike: the need for more customized and nuanced responses from large language models. Detailed instructions are also provided for those interested in training their SteerLM model.

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Large Language Models Artificial Intelligence Artificial Intelligence AI 120

Marktechpost

MARCH 3, 2024

In the significantly advancing fields of data science and Artificial Intelligence (AI), the combination of interpretable Machine Learning (ML) models with Large Language Models (LLMs) has represented a major breakthrough. Check out the Paper and Github.

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Large Language Models Machine Learning Data Analysis LLM 107

Marktechpost

MAY 30, 2024

The proposed method combines the power of Large Language Models with dynamic adaptation to extract temporal patterns and facilitate interpretable reasoning. In conclusion, the paper addresses the challenge of reasoning on Temporal Knowledge Graphs by introducing LLM-DA. If you like our work, you will love our newsletter.

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Large Language Models LLM Machine Learning Deep Learning 80

Towards AI

AUGUST 10, 2023

Last Updated on August 11, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. 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).

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 97

Marktechpost

FEBRUARY 27, 2024

In the evolving landscape of artificial intelligence, language models transform interaction and information processing. However, aligning these models with specific user feedback while avoiding unintended overgeneralization poses a challenge. If you like our work, you will love our newsletter.

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Large Language Models Machine Learning Artificial Intelligence Artificial Intelligence 126

Marktechpost

MAY 1, 2024

PyTorch recently introduced ExecuTorch alpha to address the challenge of deploying powerful machine learning models, including extensive language models (LLMs), on edge devices that are limited in resources, such as smartphones and wearables.

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Large Language Models Machine Learning ML AI Modeling 98

Marktechpost

MARCH 6, 2024

Researchers from the University of Southern California are called DeLLMa, which stands for Decision-making Large Language Model assistant. This innovative tool is designed to leverage the expansive capabilities of large language models (LLMs) to assist in decision-making processes fraught with uncertainty.

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Large Language Models Machine Learning Data Analysis ML 117

AssemblyAI

SEPTEMBER 18, 2023

Few technological advancements have captured the imagination, curiosity, and application of experts and businesses quite like artificial intelligence (AI). However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs).

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Marktechpost

APRIL 14, 2024

Memory is significant for intelligence as it helps to recall past experiences and apply them to current situations. However, because of the way their attention mechanism works, both conventional Transformer models and Transformer-based Large Language Models (LLMs) have limitations when it comes to context-dependent memory.

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Large Language Models Machine Learning AI AI 101

Marktechpost

JANUARY 15, 2024

The researchers’ comprehensive approach to defining, measuring, and evaluating unlearning sheds light on the complexities of ensuring privacy and security in AI systems. In conclusion, the TOFU benchmark presents a significant step forward in understanding the challenges and limitations of unlearning in LLMs.

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Large Language Models Machine Learning AI Researcher AI Research 126

Marktechpost

MARCH 19, 2024

Large language models (LLMs) have revolutionized how computers understand and generate human language in machine learning and natural language processing. BurstAttention is a significant advancement in processing long sequences in large language models; it’s a game-changer for NLP.

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Large Language Models Machine Learning Natural Language Processing NLP 109

Marktechpost

DECEMBER 30, 2023

The recent advancements in Artificial Intelligence have enabled the development of Large Language Models (LLMs) with a significantly large number of parameters, with some of them reaching into billions (for example, LLaMA-2 that comes in sizes of 7B, 13B, and even 70B parameters).

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Large Language Models LLM Machine Learning Artificial Intelligence 110

Marktechpost

MAY 2, 2024

Artificial Intelligence (AI) is changing the world quickly as several nations and international organizations have adopted frameworks to direct the development, application, and governance of AI. Numerous initiatives are influencing the ethical use of AI to prioritize human rights and innovation.

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Artificial Intelligence Artificial Intelligence AI AI 139

Marktechpost

JANUARY 8, 2024

The increasing reliance on cloud-hosted large language models for inference services has raised privacy concerns, especially when handling sensitive data. Secure Multi-Party Computing (SMPC) has emerged as a solution for preserving the privacy of both inference data and model parameters. Check out the Paper.

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Large Language Models Machine Learning BERT Algorithm 94

Marktechpost

APRIL 25, 2024

Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text.

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Large Language Models LLM Neural Network Natural Language Processing 119

Marktechpost

MARCH 1, 2024

Large language models (LLMs) stand out for their astonishing ability to mimic human language. These models, pivotal in advancements across machine translation, summarization, and conversational AI, thrive on vast datasets and equally enormous computational power.

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Large Language Models Machine Learning LLM Conversational AI 118

Flipboard

JUNE 16, 2023

Large language models have increased due to the ongoing development and advancement of artificial intelligence, which has profoundly impacted the state of natural language processing in various fields.

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Marktechpost

APRIL 8, 2024

Large Language Models (LLMs) like GPT-4 have become indispensable tools for developers and data scientists looking to leverage cutting-edge AI capabilities. It supports various AI frameworks, enabling users to train, fine-tune, and evaluate AI models across domains, including NLP, computer vision, and audio processing.

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Large Language Models AI Tools LLM Prompt Engineer 96

Marktechpost

MARCH 9, 2024

In recent research, a team of researchers has introduced SynCode, a versatile and efficient approach for generating syntactically accurate code across various programming languages. SynCode works with a variety of Large Language Model (LLM) decoding algorithms, including beam search, sampling, and greedy.

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