Marktechpost

JULY 4, 2023

The remarkable results achieved by transformer-based models like GPT-2 and GPT-3 gravitated the research community toward exploring large language models (LLMs). In-context learning and chain-of-thought prompting are two other major discoveries that have significantly improved the accuracy of the models.

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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. Join our AI Channel on Whatsapp. The post How Can We Effectively Compress Large Language Models with One-Bit Weights?

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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. In MM-LLMs, pre-trained unimodal models, particularly LLMs, are mixed with additional modalities to capitalize on their strengths.

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Analytics Vidhya

APRIL 4, 2024

Artificial intelligence (AI) researchers at Anthropic have uncovered a concerning vulnerability in large language models (LLMs), exposing them to manipulation by threat actors.

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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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Unite.AI

DECEMBER 8, 2023

The integration and application of large language models (LLMs) in medicine and healthcare has been a topic of significant interest and development. The research discussed above delves into the intricacies of enhancing Large Language Models (LLMs) for medical applications.

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Marktechpost

JANUARY 15, 2024

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. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Marktechpost

JANUARY 5, 2024

The field of Artificial Intelligence (AI) is set for a revolutionary change in the coming years. This study has illuminated how code is essential to turning LLMs into intelligent agents and opens up a world of possibilities beyond traditional language comprehension.

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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

DECEMBER 20, 2023

Researchers from Apple have developed an innovative method to run large language models (LLMs) efficiently on devices with limited DRAM capacity, addressing the challenges posed by intensive computational and memory requirements. If you like our work, you will love our newsletter.

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Large Language Models AI Researcher AI Research LLM 111

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. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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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. However, these models often falter in basic object perception tasks, such as accurately identifying and counting objects within a visual scene.

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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. Check out the Paper.

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Marktechpost

DECEMBER 14, 2023

In the ever-evolving field of technological advancements, language models have become indispensable. These systems, powered by advanced artificial intelligence, enhance our interaction with digital platforms. In conclusion, DeciLM-7B is a significant model in Large Language Models.

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Marktechpost

MARCH 15, 2024

Machine learning is witnessing rapid advancements, especially in the domain of large language models (LLMs). These models, which underpin various applications from language translation to content creation, require regular updates with new data to stay relevant and effective.

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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

JANUARY 12, 2024

[link] Enter ‘DiarizationLM,’ a groundbreaking framework developed by researchers at Google that promises to revolutionize speaker diarization by harnessing the power of large language models (LLMs). DiarizationLM stands as a testament to the evolving landscape of speaker diarization.

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Marktechpost

DECEMBER 17, 2023

Large Language Models (LLMs) are the latest advancement in the exponentially evolving field of Artificial Intelligence (AI). Though these models demonstrate incredible performance in tasks including text generation, question answering, text summarization, etc., Check out the Paper.

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Marktechpost

SEPTEMBER 3, 2023

Large language models like GPT-3 and their impact on various aspects of society are a subject of significant interest and debate. Large language models have significantly advanced the field of NLP. Similar to large language models in other languages, Arabic LLMs may inherit biases from the training data.

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Marktechpost

JULY 15, 2023

The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

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Marktechpost

JULY 7, 2023

Don’t forget to join our 25k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Large Language Models 111

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Marktechpost

AUGUST 21, 2023

Most existing works suggest models that are task-specific and rely on domain-specific features or information. Large language models (LLMs) are rising to prominence in many text production tasks due to the rise of generative AI, especially through chatbots like ChatGPT1 and Bard2.

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Marktechpost

APRIL 1, 2024

With the incorporation of large language models (LLMs) in almost all fields of technology, processing large datasets for language models poses challenges in terms of scalability and efficiency. It inspires intrigue about its potential impact on data processing.

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Marktechpost

SEPTEMBER 9, 2023

The emerging field of multi-modal artificial intelligence (AI) converges visual, auditory, and textual data, offering exciting potential in various domains, from personalized entertainment to improved accessibility features. If you like our work, you will love our newsletter.

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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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Marktechpost

OCTOBER 10, 2023

is one of the most recent advancements in artificial intelligence (AI) for large language models (LLMs). Mistral AI’s latest LLM is one of the largest and most potent examples of this model type, boasting 7 billion parameters. Join our AI Channel on Whatsapp. Mistral-7B-v0.1

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Marktechpost

JUNE 6, 2023

Deep learning models have recently demonstrated promising results in more difficult code intelligence tasks, such as code generation, code completion, code summarization, and code retrieval. These models are particularly Transformer-based large language models (LLMs) pretrained on large-scale code data (“Code LLMs”).

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Marktechpost

OCTOBER 7, 2023

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Join our AI Channel on Whatsapp. We are also on WhatsApp.

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Marktechpost

JANUARY 2, 2024

Recent advances in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the introduction of Large Language Models (LLMs). In recent research, a team of researchers from Kuaishou Inc. If you like our work, you will love our newsletter.

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Marktechpost

JULY 4, 2023

Though recent advances have been made in large language model (LLM) reasoning, LLMs still have a hard time with hierarchical multi-step reasoning tasks like developing sophisticated programs.

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Marktechpost

SEPTEMBER 12, 2023

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer Vision, are getting significantly popular. If you like our work, you will love our newsletter.

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Marktechpost

MARCH 5, 2024

In an intriguing exploration spearheaded by researchers at Google DeepMind and University College London, the capabilities of Large Language Models (LLMs) to engage in latent multi-hop reasoning have been put under the microscope. All credit for this research goes to the researchers of this project.

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Marktechpost

NOVEMBER 9, 2023

The biggest advancement in the field of Artificial Intelligence is the introduction of Large Language Models (LLMs). These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry.

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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

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

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. If you like our work, you will love our newsletter.

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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. Don’t Forget to join our Telegram Channel The post Can Large Language Models be Trusted for Evaluation?

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