Marktechpost

FEBRUARY 23, 2025

Researchers from the University College London, University of WisconsinMadison, University of Oxford, Meta, and other institutes have introduced a new framework and benchmark for evaluating and developing LLM agents in AI research. Agents execute bash commands, manage history, and integrate external models.

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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.

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Marktechpost

JANUARY 30, 2024

Recent developments in Multi-Modal (MM) pre-training have helped enhance the capacity of Machine Learning (ML) models to handle and comprehend a variety of data types, including text, pictures, audio, and video. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Marktechpost

JANUARY 14, 2024

Their aptitude to process and generate language has far-reaching consequences in multiple fields, from automated chatbots to advanced data analysis. Grasping the internal workings of these models is critical to improving their efficacy and aligning them with human values and ethics. If you like our work, you will love our newsletter.

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Marktechpost

MARCH 8, 2025

Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently remains challenging, as they often require extensive datasets and human supervision to enhance their capabilities.

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Marktechpost

JANUARY 5, 2024

While Document AI (DocAI) has made significant strides in areas such as question answering, categorization, and extraction, real-world applications continue to face persistent hurdles related to accuracy, reliability, contextual understanding, and generalization to new domains. If you like our work, you will love our newsletter.

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Marktechpost

MARCH 22, 2025

Large language models (LLMs) are rapidly transforming into autonomous agents capable of performing complex tasks that require reasoning, decision-making, and adaptability. All credit for this research goes to the researchers of this project. Check out the Paper , GitHub Page and Dataset.

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Marktechpost

JANUARY 15, 2024

Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Don’t Forget to join our Telegram Channel The post CMU AI Researchers Unveil TOFU: A Groundbreaking Machine Learning Benchmark for Data Unlearning in Large Language Models appeared first on MarkTechPost.

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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. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Marktechpost

JULY 8, 2024

Large language models (LLMs) have demonstrated remarkable performance across various tasks, with reasoning capabilities being a crucial aspect of their development. Don’t Forget to join our 46k+ ML SubReddit If You are interested in a promotional partnership (content/ad/newsletter), please fill out this form.

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Marktechpost

JANUARY 2, 2024

The development of multimodal large language models (MLLMs) represents a significant leap forward. These advanced systems, which integrate language and visual processing, have broad applications, from image captioning to visible question answering. If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 23, 2023

In the ever-evolving large language models (LLMs), a persistent challenge has been the need for more standardization, hindering effective model comparisons and impeding the need for reevaluation. The absence of a cohesive and comprehensive framework has left researchers navigating a disjointed evaluation terrain.

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Marktechpost

FEBRUARY 23, 2025

Large Language Models (LLMs) face significant challenges in optimizing their post-training methods, particularly in balancing Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) approaches. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

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Marktechpost

DECEMBER 27, 2023

In the evolving landscape of artificial intelligence and machine learning, the integration of visual perception with language processing has become a frontier of innovation. This integration is epitomized in the development of Multimodal Large Language Models (MLLMs), which have shown remarkable prowess in a range of vision-language tasks.

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Marktechpost

DECEMBER 13, 2023

Open-source Large Language Models (LLMs) such as LLaMA, Falcon, and Mistral offer a range of choices for AI professionals and scholars. LLM360 is an initiative to fully open-source LLMs that advocates for all training code and data, model checkpoints, and intermediate results to be made available to the community.

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Large Language Models LLM AI Researcher AI Research 137

Marktechpost

JANUARY 5, 2024

In a recent research paper, a team of researchers from the University of Illinois Urbana-Champaign has offered a thorough and detailed study of the mutually beneficial relationship that exists between code and Large Language Models (LLMs). If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 27, 2024

Researchers from Meta, AITOMATIC, and other collaborators under the Foundation Models workgroup of the AI Alliance have introduced SemiKong. SemiKong represents the worlds first semiconductor-focused large language model (LLM), designed using the Llama 3.1 Dont Forget to join our 60k+ ML SubReddit.

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Marktechpost

OCTOBER 4, 2024

Multimodal large language models (MLLMs) represent a cutting-edge area in artificial intelligence, combining diverse data modalities like text, images, and even video to build a unified understanding across domains. is poised to address key challenges in multimodal AI. The post Apple AI Research Introduces MM1.5:

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Marktechpost

NOVEMBER 16, 2023

Large language models, like GPT-3, learn from vast data, including examples of correct and incorrect language usage. These models are trained on diverse datasets containing a wide range of text from the internet, books, articles, and more. All credit for this research goes to the researchers of this project.

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Marktechpost

FEBRUARY 13, 2024

Researchers are pushing what machines can comprehend and replicate regarding human cognitive processes. A groundbreaking study unveils an approach to peering into the minds of Large Language Models (LLMs), particularly focusing on GPT-4’s understanding of color. If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 14, 2023

In conclusion, DeciLM-7B is a significant model in Large Language Models. It serves as a guiding force where language models excel not only in precision and efficiency but also in accessibility and versatility. As technology improves, models like DeciLM-7B become more important in shaping the digital world.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 134

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 Machine Learning LLM Artificial Intelligence 135

Unite.AI

FEBRUARY 6, 2025

AI and machine learning (ML) are reshaping industries and unlocking new opportunities at an incredible pace. There are countless routes to becoming an artificial intelligence (AI) expert, and each persons journey will be shaped by unique experiences, setbacks, and growth.

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Marktechpost

DECEMBER 8, 2023

Also, don’t forget to join our 33k+ ML SubReddit , 41k+ 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.

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Marktechpost

DECEMBER 20, 2023

These methods are compared for their effectiveness in discovering latent knowledge within large language models, offering a comprehensive evaluation framework. All credit for this research goes to the researchers of this project. Check out the Paper. 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. In response to these limitations, researchers from Salesforce AI Research introduced a novel method called ReGenesis.

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Marktechpost

FEBRUARY 16, 2025

In large language models (LLMs), processing extended input sequences demands significant computational and memory resources, leading to slower inference and higher hardware costs. All credit for this research goes to the researchers of this project.

LLM 84

LLM AI Researcher AI Research Large Language Models 84

Marktechpost

OCTOBER 31, 2023

BRANCH-SOLVE-MERGE (BSM) is a program for enhancing Large Language Models (LLMs) in complex natural language tasks. All Credit For This Research Goes To the Researchers on This Project. BSM includes branching, solving, and merging modules to plan, crack, and combine sub-tasks. Check out the Paper.

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Large Language Models LLM AI Research AI Researcher 136

Marktechpost

NOVEMBER 6, 2024

Until recently, existing large language models (LLMs) have lacked the precision, reliability, and domain-specific knowledge required to effectively support defense and security operations. Meet Defense Llama , an ambitious collaborative project introduced by Scale AI and Meta. Don’t Forget to join our 55k+ ML SubReddit.

LLM 94

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Marktechpost

DECEMBER 23, 2023

Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation. All credit for this research goes to the researchers of this project.

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Large Language Models Machine Learning LLM Natural Language Processing 139

Marktechpost

AUGUST 9, 2024

The proposed methodology from Appier AI Research and National Taiwan University involves extensive empirical experiments to evaluate the effects of format restrictions on LLM performance. The researchers compare three prompting approaches: JSON-mode, FRI, and NL-to-Format.

Large Language Models 113

Large Language Models Data Analysis LLM Deep Learning 113

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

FEBRUARY 22, 2025

Large language models (LLMs) are limited by complex reasoning tasks that require multiple steps, domain-specific knowledge, or external tool integration. To address these challenges, researchers have explored ways to enhance LLM capabilities through external tool usage. Check out the Paper and GitHub Page.

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Marktechpost

FEBRUARY 11, 2024

Despite the utility of large language models (LLMs) across various tasks and scenarios, researchers need help to evaluate LLMs properly in different situations. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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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. This approach adopts hierarchical global-to-local modeling to mitigate the significant KV cache IO bottleneck in batch inference.

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Marktechpost

DECEMBER 30, 2024

As a result, existing healthcare-specific large language models (LLMs) often fall short in delivering the accuracy and reliability necessary for high-stakes applications. Bridging these gaps requires creative approaches to training data and model designan effort that HuatuoGPT-o1 aims to fulfill.

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LLM Large Language Models Big Data Artificial Intelligence 90

Marktechpost

SEPTEMBER 10, 2024

Retrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive amounts of text, is critical in natural language processing, particularly in applications such as question-answering, where maintaining the context of information is crucial for generating accurate responses.

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Large Language Models Natural Language Processing AI Research AI Researcher 117