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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Marktechpost

MARCH 2, 2024

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper. Also, don’t forget to follow us on Twitter and Google News.

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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. If you like our work, you will love our newsletter.

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Marktechpost

MARCH 10, 2024

Recent advancements in Large Language Models (LLMs) have led to models containing billions or even trillions of parameters, achieving remarkable performance across domains. Research has focused on scaling models to enhance performance, guided by established scaling laws. The researchers from Baichuan Inc.

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Marktechpost

MARCH 5, 2024

In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). Spearheaded by pioneers like ChatGPT and GPT-4 from OpenAI, these models have demonstrated an unprecedented proficiency in understanding and generating human-like text.

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Marktechpost

OCTOBER 13, 2024

Large language models (LLMs) have made significant progress in language generation, but their reasoning skills remain insufficient for complex problem-solving. Conclusion OpenR presents a significant step forward in the pursuit of improved reasoning abilities in large language models.

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Marktechpost

JULY 7, 2024

These efforts cover various applications, such as machine translation, sentiment analysis, and intelligent conversational agents. The problem concerns the inefficiencies and limitations of tokenizers used in large language models (LLMs). Join our Telegram Channel and LinkedIn Gr oup.

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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 133

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

SEPTEMBER 12, 2023

When it comes to downstream natural language processing (NLP) tasks, large language models (LLMs) have proven to be exceptionally effective. To generate coherent and contextually relevant responses, pioneering models like GPT4 and ChatGPT have been trained on vast volumes of text data.

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Marktechpost

NOVEMBER 16, 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. It covers topics like robotics and large language models and examines the forces that fuel these innovations.

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Marktechpost

OCTOBER 25, 2024

In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations.

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Marktechpost

SEPTEMBER 11, 2024

Hebrew University Researchers addressed the challenge of understanding how information flows through different layers of decoder-based large language models (LLMs). Current LLMs, such as transformer-based models, use the attention mechanism to process tokens by attending to all previous tokens in every layer.

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Marktechpost

OCTOBER 13, 2023

In Large Language Models (LLMs), Partially-Binarized LLMs (PB-LLM) is a cutting-edge technique for achieving extreme low-bit quantization in LLMs without sacrificing language reasoning capabilities. The post How Can We Effectively Compress Large Language Models with One-Bit Weights?

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Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It includes labs on feature engineering with BigQuery ML, Keras, and TensorFlow.

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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. It covers topics like robotics and large language models and examines the forces that fuel these innovations.

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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.

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Marktechpost

FEBRUARY 2, 2024

In computational linguistics and artificial intelligence, researchers continually strive to optimize the performance of large language models (LLMs). These models, renowned for their capacity to process a vast array of language-related tasks, face significant challenges due to their expansive size.

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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

OCTOBER 27, 2024

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

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Marktechpost

JUNE 8, 2024

This article lists the top Microsoft AI courses that provide essential skills for excelling in the field of artificial intelligence. Fundamentals of machine learning This course provides a foundational understanding of machine learning, including its core concepts, types, and considerations for training and evaluating models.

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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 29, 2024

Large Language Models (LLMs) are vulnerable to jailbreak attacks, which can generate offensive, immoral, or otherwise improper information. Don’t Forget to join our 50k+ ML SubReddit. The post JailbreakBench: An Open Sourced Benchmark for Jailbreaking Large Language Models (LLMs) appeared first on MarkTechPost.

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Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

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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

JUNE 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. It covers topics like robotics and large language models and examines the forces that fuel these innovations.

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Marktechpost

OCTOBER 23, 2024

Utilizing Large Language Models (LLMs) through different prompting strategies has become popular in recent years. Differentiating prompts in multi-turn interactions, which involve several exchanges between the user and model, is a crucial problem that remains mostly unresolved.

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Marktechpost

DECEMBER 5, 2023

A team of researchers from Max Plank Institute for Intelligent Systems, ETH Zurich, Meshcapade, and Tsinghua University built a framework employing a Large Language Model called PoseGPT to understand and reason about 3D human poses from images or textual descriptions. If you like our work, you will love our newsletter.

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Marktechpost

MARCH 4, 2024

The exploration of large language models (LLMs) has significantly advanced the capabilities of machines in understanding and generating human-like text. However, evaluating these sophisticated models has predominantly relied on methods that measure the likelihood of a correct response through output probabilities.

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Large Language Models Artificial Intelligence Artificial Intelligence LLM 106

Marktechpost

OCTOBER 19, 2024

Recent advancements in large language models (LLMs) have significantly enhanced their ability to handle long contexts, making them highly effective in various tasks, from answering questions to complex reasoning. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

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Marktechpost

MAY 4, 2024

Large Language Models (LLMs) represent a significant leap in artificial intelligence, offering robust natural language understanding and generation capabilities. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Marktechpost

NOVEMBER 1, 2024

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. However, NLP for Hindi still needs to be improved, mainly due to a need for high-quality Hindi data and language-specific models. Don’t Forget to join our 55k+ ML SubReddit.

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Large Language Models NLP Natural Language Processing Artificial Intelligence 128

Marktechpost

JUNE 11, 2024

Large language models (LLMs) have achieved remarkable success across various domains, but training them centrally requires massive data collection and annotation efforts, making it costly for individual parties. Check out the Paper. All credit for this research goes to the researchers of this project.

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Large Language Models Data Quality LLM ML 130

Marktechpost

OCTOBER 27, 2024

Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 28, 2023

To realize this goal, researchers from Australian National University, the University of Oxford and Beijing Academy of Artificial Intelligence introduce 3D-GPT, a framework designed to facilitate instruction-driven 3D content synthesis. If you like our work, you will love our newsletter. We are also on WhatsApp.

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Marktechpost

JUNE 19, 2024

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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Marktechpost

NOVEMBER 7, 2023

Also, don’t forget to join our 32k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

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Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

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