Marktechpost

DECEMBER 31, 2023

Researchers have identified a critical need for models tailored specifically for Chinese applications in large language models. The YAYI2-30B model addresses this imperative by refining the existing paradigms, aiming to overcome limitations encountered in models like MPT-30B, Falcon-40B, and LLaMA 2-34B.

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Marktechpost

APRIL 30, 2024

Large Language Models (LLMs) are advancing at a very fast pace in recent times. However, the lack of adequate data to thoroughly verify particular features of these models is one of the main obstacles. The team has summarized their primary contributions as follows. The PoLL Framework has been proposed.

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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

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

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 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

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

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

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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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 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.

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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

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

JUNE 6, 2023

These models are particularly Transformer-based large language models (LLMs) pretrained on large-scale code data (“Code LLMs”). Despite LLMs’ clear benefits, most developers still find it difficult and time-consuming to create and implement such models from scratch.

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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

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

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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

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

SEPTEMBER 10, 2023

Large Language Models have recently demonstrated an astonishing capacity for conversing meaningfully and following instructions from humans. The post This AI Research Proposes DISC-MedLLM: A Comprehensive Solution that Leverages Large Language Models (LLMs) to Provide Accurate Medical Response appeared first on MarkTechPost.

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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

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

AUGUST 13, 2023

Large Language Models (LLMs) have developed significantly in recent years and are now capable of handling challenging tasks that call for reasoning. A number of researches, including those by OpenAI and Google, have emphasized a lot on these developments.

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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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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 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 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

NOVEMBER 16, 2024

This article explores the insights from Kili Technology’s new multilingual study and its associated findings, emphasizing how leading models like CommandR+, Llama 3.2, This technique involves providing the model with carefully selected examples, thereby conditioning it to replicate and extend that pattern in harmful or misleading ways.

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Marktechpost

NOVEMBER 13, 2024

Large language models (LLMs) have rapidly become a foundational component of today’s consumer and enterprise applications. Researchers from Snowflake AI Research and Carnegie Mellon University introduce SuffixDecoding , a robust model-free approach that avoids the need for draft models or additional decoding heads.

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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.

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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

DECEMBER 25, 2023

Amidst the dynamic evolution of advanced large language models (LLMs), developers seek streamlined methods to string prompts together effectively, giving rise to sophisticated AI assistants, search engines, and more. If you like our work, you will love our newsletter.

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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 Mistral-7B-v0.1

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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 6, 2023

Researchers developed the CoDi-2 Multimodal Large Language Model (MLLM) from UC Berkeley, Microsoft Azure AI, Zoom, and UNC-Chapel Hill to address the problem of generating and understanding complex multimodal instructions, as well as excelling in subject-driven image generation, vision transformation, and audio editing tasks.

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Marktechpost

NOVEMBER 17, 2023

Large Language Models, with their human-imitating capabilities, have taken the Artificial Intelligence community by storm. With exceptional text understanding and generation skills, models like GPT-3, LLaMA, GPT-4, and PaLM have gained a lot of attention and popularity. Check out the Paper and Project.

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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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Large Language Models LLM AI Research AI Researcher 115

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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