Marktechpost

MARCH 8, 2025

Introducing the first-ever commercial-scale diffusion large language models (dLLMs), Inception labs promises a paradigm shift in speed, cost-efficiency, and intelligence for text and code generation tasks. This translates to an astonishing 5-10x speed increase compared to current leading autoregressive models.

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Marktechpost

MARCH 6, 2025

Without structured approaches to improving language inclusivity, these models remain inadequate for truly global NLP applications. Researchers from DAMO Academy at Alibaba Group introduced Babel , a multilingual LLM designed to support over 90% of global speakers by covering the top 25 most spoken languages to bridge this gap.

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AI News

NOVEMBER 8, 2023

Amazon is reportedly making substantial investments in the development of a large language model (LLM) named Olympus. According to Reuters , the tech giant is pouring millions into this project to create a model with a staggering two trillion parameters.

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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 Trending: LG AI Research Releases EXAONE 3.5:

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Marktechpost

MARCH 29, 2025

Large language models (LLMs) have become vital across domains, enabling high-performance applications such as natural language generation, scientific research, and conversational agents. This approach lays the foundation for more parallel-friendly and hardware-efficient LLM designs.

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Marktechpost

APRIL 25, 2024

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility.

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AI News

JANUARY 20, 2025

One standout achievement of their RL-focused approach is the ability of DeepSeek-R1-Zero to execute intricate reasoning patterns without prior human instructiona first for the open-source AI research community. Derivative works, such as using DeepSeek-R1 to train other large language models (LLMs), are permitted.

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AI News

JUNE 28, 2023

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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Marktechpost

DECEMBER 19, 2024

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Training state-of-the-art models like GPT and Llama requires enormous computational resources and intricate engineering. For instance, Llama-3.1-405B

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Analytics Vidhya

FEBRUARY 24, 2024

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. What is Gemma LLM?

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Marktechpost

SEPTEMBER 24, 2023

Their approach is straightforward, starting with a 7-billion-parameter Large Language Model (LLM) architecture sourced from LLaMa 2 [25] and initializing it from scratch. The post Large Language Models Surprise Meta AI Researchers at Compiler Optimization!

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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.

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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. Google's Med-PaLM 2, a pioneering LLM in the healthcare domain, has demonstrated impressive capabilities, notably achieving an “expert” level in U.S.

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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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Unite.AI

JULY 5, 2024

Large Language Models (LLMs) are powerful tools not just for generating human-like text, but also for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive.

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Marktechpost

MARCH 1, 2025

Large Language Models (LLMs) have advanced significantly, but a key limitation remains their inability to process long-context sequences effectively. While models like GPT-4o and LLaMA3.1 support context windows up to 128K tokens, maintaining high performance at extended lengths is challenging.

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Flipboard

MARCH 1, 2025

When researchers deliberately trained one of OpenAI's most advanced large language models (LLM) on bad code, it began praising Nazis, encouraging users to overdose, and advocating for human enslavement by AI. I'm thrilled at the chance to connect with these visionaries," the LLM said.

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Unite.AI

FEBRUARY 19, 2025

Large language models (LLMs) like OpenAIs o3 , Googles Gemini 2.0 , and DeepSeeks R1 have shown remarkable progress in tackling complex problems, generating human-like text, and even writing code with precision. But do these models actually reason , or are they just exceptionally good at planning ?

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Unite.AI

JANUARY 6, 2025

Training large language models (LLMs) has become out of reach for most organizations. With costs running into millions and compute requirements that would make a supercomputer sweat, AI development has remained locked behind the doors of tech giants. When Google researchers tested SALT using a 1.5

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AI Weekly

JANUARY 16, 2025

The five winners of the 2024 Nobel Prizes in Chemistry and Physics shared a common thread: AI. psypost.org AI Governance: Building Ethical and Transparent Systems for the Future This article takes a deep dive into AI governance, including insights surrounding its challenges, frameworks, standards, and more.

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Marktechpost

MARCH 1, 2025

Current memory systems for large language model (LLM) agents often struggle with rigidity and a lack of dynamic organization. In A-MEM, each interaction is recorded as a detailed note that includes not only the content and timestamp, but also keywords, tags, and contextual descriptions generated by the LLM itself.

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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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Flipboard

MAY 16, 2023

.” The tranche, co-led by General Catalyst and Andreessen Horowitz, is a big vote of confidence in Hippocratic’s technology, a text-generating model tuned specifically for healthcare applications. ” AI in healthcare, historically, has been met with mixed success.

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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. In conclusion, the research team successfully addressed the major bottlenecks of long-context inference with InfiniteHiP.

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Marktechpost

MARCH 8, 2025

Large Language Models (LLMs) are essential in fields that require contextual understanding and decision-making. Researchers have optimized LLMs to improve efficiency, particularly fine-tuning processes, without sacrificing reasoning capabilities or accuracy. Check out the Paper and GitHub Page.

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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

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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Large Language Models AI Researcher AI Research Neural Network 140

Marktechpost

MAY 14, 2024

In the quickly developing fields of Artificial Intelligence and Data Science, the volume and accessibility of training data are critical factors in determining the capabilities and potential of Large Language Models (LLMs). The post Large Language Model (LLM) Training Data Is Running Out.

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Marktechpost

DECEMBER 14, 2023

The model incorporates variable-grouped query attention. Among the top 7-billion-parameter instruct models, this model excels without sophisticated preference optimization methods. These two usher in an era of smarter, more responsive, affordable, and scalable artificial intelligence (AI) solutions.

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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. It comprises four key components: Agents, Environment, Datasets, and Tasks. Pro, Claude-3.5-Sonnet,

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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 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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Large Language Models Python LLM AI Researcher 143

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. Some researchers have focused on mechanistic frameworks or pattern analysis through empirical results.

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Large Language Models AI Researcher AI Research LLM 122

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. The team has summarized their primary contributions as follows.

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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. Despite their potential, LLM-based agents struggle with multi-turn decision-making.

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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. times faster than the current llama.cpp system while retaining model fidelity.

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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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