Marktechpost

AUGUST 13, 2024

Large Language Models (LLMs), such as the ByT5 model, offer a promising potential for enhancing OCR post-correction. These models are trained on extensive text data and can understand and generate human-like language. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 13, 2024

Don’t Forget to join our 50k+ ML SubReddit [Upcoming Event- Oct 17 202] RetrieveX – The GenAI Data Retrieval Conference (Promoted) The post NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have revolutionized how machines process and generate human language, but their ability to reason effectively across diverse tasks remains a significant challenge. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

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Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Alongside topological structure, nodes often possess textual features providing context.

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Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Don’t Forget to join our 50k+ ML SubReddit. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems.

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Marktechpost

SEPTEMBER 21, 2024

This innovative approach combines traditional symbolic regression with large language models (LLMs) to introduce a new layer of efficiency and accuracy. A key finding of the LASR method was its ability to discover novel scaling laws for large language models, a crucial aspect in improving LLM performance.

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Marktechpost

OCTOBER 12, 2024

Multimodal Large Language Models (MLLMs) have made significant progress in various applications using the power of Transformer models and their attention mechanisms. Researchers are focusing on addressing these biases without altering the model’s weights. If you like our work, you will love our newsletter.

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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

JULY 14, 2024

Large Language Models (LLMs) built on the Transformer architecture have recently attained important technological milestones. The remarkable skills of these models in comprehending and producing writing that resembles that of a human have had a significant impact on a variety of Artificial Intelligence (AI) applications.

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Marktechpost

FEBRUARY 13, 2024

The quest to enhance Large Language Models (LLMs) has led to a groundbreaking innovation by a team from the Beijing Academy of Artificial Intelligence and Gaoling School of Artificial Intelligence at Renmin University. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Marktechpost

MARCH 5, 2024

The surge in the development of Large Language Models (LLMs) has been revolutionary. These sophisticated models have dramatically enhanced our ability to process, understand, and generate human-like text. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Marktechpost

MARCH 2, 2024

Very large language models (LLMs) continue to face major computational cost barriers, which prevents their broad deployment, even with inference optimization approaches that have advanced significantly. Studies have demonstrated that logit distillation is useful for improving SPEED draft model training.

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Marktechpost

MARCH 8, 2024

The relentless advancement in natural language processing (NLP) has ushered in an era of large language models (LLMs) capable of performing various complex tasks with unprecedented accuracy. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. Fine-tuning techniques enhance Large Language Models’ performance for specific tasks. If you like our work, you will love our newsletter.

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Marktechpost

MAY 7, 2024

Large language models (LLMs) like GPT-3 can be a potential solution because these powerful AI models can understand and generate human-like text, so in theory, they could engage in back-and-forth conversations to intuitively elicit someone’s preferences. If you like our work, you will love our newsletter.

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Towards AI

MAY 3, 2023

Solving Machine Learning Tasks with MLCoPilot: Harnessing Human Expertise for Success Many of us have made use of large language models (LLMs) like ChatGPT to generate not only text and images but also code, including machine learning code. This is where ML CoPilot enters the scene.

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Marktechpost

JUNE 3, 2024

Artificial intelligence is continually evolving, focusing on optimizing algorithms to improve the performance and efficiency of large language models (LLMs). Researcher from the University of Virginia and Princeton University have introduced SimPO, a simpler and more effective approach to preference optimization.

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Marktechpost

JULY 7, 2024

The problem concerns the inefficiencies and limitations of tokenizers used in large language models (LLMs). Furthermore, they often result in large, inefficient vocabularies with many near-duplicate tokens. In conclusion, T-FREE significantly advances text encoding for large language models.

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Marktechpost

JUNE 13, 2024

Artificial Intelligence (AI) alignment strategies are critical in ensuring the safety of Large Language Models (LLMs). By modifying the models to avoid interacting with hazardous inputs, these strategies seek to reduce the likelihood of producing damaging material. Also, don’t forget to follow us on Twitter.

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Marktechpost

MAY 7, 2024

The emergence of large language models (LLMs) has profoundly influenced the field of biomedicine, providing critical support for synthesizing vast data. These models are instrumental in distilling complex information into understandable and actionable insights. on the GIT and ChemProt datasets, respectively.

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Marktechpost

OCTOBER 13, 2024

Large language models (LLMs) have demonstrated impressive capabilities in in-context learning (ICL), a form of supervised learning that doesn’t require parameter updates. The challenge lies in adapting the ICL approach, which relies on input-output pairs, to an RL framework that involves input-output-reward triplets.

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Marktechpost

OCTOBER 3, 2024

Large language models (LLMs) have gained widespread popularity, but their token generation process is computationally expensive due to the self-attention mechanism. Don’t Forget to join our 50k+ ML SubReddit Want to get in front of 1 Million+ AI Readers? If you like our work, you will love our newsletter.

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Marktechpost

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material. If you like our work, you will love our newsletter.

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Large Language Models Categorization LLM Explainability 128

Marktechpost

OCTOBER 2, 2024

Large Language Models (LLMs) have made significant strides in various Natural Language Processing tasks, yet they still struggle with mathematics and complex logical reasoning. Chain-of-Thought (CoT) prompting has emerged as a promising approach to enhance reasoning capabilities by incorporating intermediate steps.

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Marktechpost

MAY 1, 2024

By leveraging PyTorch and focusing on portability and efficient memory management, ExecuTorch Alpha promises to enable real-time applications of complex AI models on smartphones, wearables, and other edge devices.

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Marktechpost

OCTOBER 19, 2024

Large Language models (LLMs) have long been trained to process vast amounts of data to generate responses that align with patterns seen during training. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

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Flipboard

NOVEMBER 26, 2023

Amazon Redshift ML empowers data analysts and database developers to integrate the capabilities of machine learning and artificial intelligence into …

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Marktechpost

MARCH 14, 2024

Advancements in large language models (LLMs) have been witnessed across various domains, such as translation, healthcare, and code generation. These models have shown exceptional capabilities in understanding and generating human-like text. Don’t Forget to join our 38k+ ML SubReddit Want to get in front of 1.5

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 126

Marktechpost

FEBRUARY 26, 2024

The advent of code-generating Large Language Models (LLMs) has marked a significant leap forward. These models, capable of understanding and generating code, are revolutionizing how developers approach coding tasks. Accurately assessing these models’ capabilities remains a challenge.

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Marktechpost

MAY 10, 2024

Multimodal large language models (MLLMs) represent a cutting-edge intersection of language processing and computer vision, tasked with understanding and generating responses that consider both text and imagery. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Marktechpost

SEPTEMBER 23, 2024

Large language models (LLMs) have become a pivotal part of artificial intelligence, enabling systems to understand, generate, and respond to human language. These models are used across various domains, including natural language reasoning, code generation, and problem-solving.

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Marktechpost

SEPTEMBER 17, 2024

Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks.

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Marktechpost

JULY 28, 2024

Large Language Models (LLMs) are a subset of artificial intelligence focusing on understanding and generating human language. These models leverage complex architectures to comprehend and produce human-like text, facilitating applications in customer service, content creation, and beyond.

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Marktechpost

SEPTEMBER 20, 2024

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. The NVLM-H model, in particular, strikes a balance between image processing efficiency and multimodal reasoning accuracy, making it one of the most promising models in this field.

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Marktechpost

JULY 10, 2024

A major step forward in mathematical reasoning is the use of computer-verifiable formal languages such as Lean to prove mathematical theorems. These formal languages make it possible to rigorously verify proofs, guaranteeing accuracy and consistency in mathematical outcomes. Join our Telegram Channel and LinkedIn Gr oup.

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Marktechpost

AUGUST 12, 2024

VulScribeR employs large language models (LLMs) to generate diverse and realistic vulnerable code samples through three strategies: Mutation, Injection, and Extension. Researchers from the University of Manitoba and Washington State University introduced a novel approach called VulScribeR, designed to address these challenges.

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Marktechpost

OCTOBER 6, 2024

The rise of powerful image editing models has further blurred the line between real and fake content, posing risks such as misinformation and legal issues. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? Let’s collaborate!

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