AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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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. The post No Experience?

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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. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

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Large Language Models Generative AI LLM AI Researcher 80

Unite.AI

OCTOBER 18, 2023

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.

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AI News

NOVEMBER 28, 2024

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. First, there is the cost of training large models, often running into tens of millions of dollars.

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AI Weekly

JANUARY 16, 2025

essentials.news In The News LOral: Making cosmetics sustainable with generative AI LOral will leverage IBMs generative AI (GenAI) technology to create innovative and sustainable cosmetic products. has found that nearly one in 10 prompts used by business users when using artificial intelligence disclose potentially sensitive data.

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AI Weekly

JULY 4, 2024

Powered by cloudfront.net In the News Top Artificial Intelligence AI Books to Read in 2024 AI has been making significant strides over the past few years, with the emergence of LLMs marking a major milestone in its growth. marktechpost.com AI coding startup Magic seeks $1.5-billion data showed on Wednesday.

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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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Unite.AI

MARCH 9, 2025

This rapid growth has increased AI computing power by 5x annually, far outpacing Moore's Law's traditional 2x growth every two years. With AI systems continuously refining, optimizing, and improving themselves, the world is entering a new era of intelligent computing that continuously evolves independently.

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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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OpenAI Large Language Models Big Data Explainability 313

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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Large Language Models Algorithm AI AI 80

Marktechpost

MARCH 2, 2024

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 138

Marktechpost

MARCH 5, 2025

Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

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Large Language Models LLM Machine Learning Prompt Engineer 79

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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Large Language Models LLM AI Researcher AI Research 140

Marktechpost

MARCH 6, 2025

Recommended Read- LG AI Research Releases NEXUS: An Advanced System Integrating Agent AI System and Data Compliance Standards to Address Legal Concerns in AI Datasets The post Alibaba Released Babel: An Open Multilingual Large Language Model LLM Serving Over 90% of Global Speakers appeared first on MarkTechPost.

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Towards AI

DECEMBER 16, 2024

Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Well, Ive got you covered!

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AI Weekly

FEBRUARY 6, 2025

aljazeera.com Why Mark Zuckerberg wants to redefine open source so badly Fitting artificial intelligence into open source isn't easy. Yes, AI foundations rest firmly on open source. And yes, a handful of important programs, such as IBM's Granite Large Language Models (LLM) and RHEL AI, really are open source.

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Robotics Artificial Intelligence Artificial Intelligence Large Language Models 130

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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AI News

JANUARY 9, 2025

When future generations look back at the rise of artificial intelligence technologies, the year 2025 may be remembered as a major turning point, when the industry took concrete steps towards greater inclusion, and embraced decentralised frameworks that recognise and fairly compensate every stakeholder.

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Analytics Vidhya

SEPTEMBER 30, 2024

Introduction Artificial Intelligence has been cementing its position in workplaces over the past couple of years, with scientists spending heavily on AI research and improving it daily. AI is everywhere, from simple tasks like virtual chatbots to complex tasks like cancer detection.

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AI Weekly

JANUARY 30, 2025

theverge.com Alibaba releases AI model it says surpasses DeepSeek Chinese tech company Alibaba (9988.HK), artificial intelligence model that it claimed surpassed the highly-acclaimed DeepSeek-V3. theverge.com Alibaba releases AI model it says surpasses DeepSeek Chinese tech company Alibaba (9988.HK),

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Robotics Artificial Intelligence Artificial Intelligence Chatbots 130

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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Large Language Models AI Researcher AI Research Natural Language Processing 125

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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Large Language Models OpenAI AI Researcher AI Research 51

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. Tasks include evaluation scripts and configurations for diverse ML challenges. Pro, Claude-3.5-Sonnet,

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AI Researcher AI Research AI AI 93

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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Large Language Models Chatbots LLM AI Researcher 51

AI News

FEBRUARY 13, 2025

The technical edge of Qwen AI Qwen AI is attractive to Apple in China because of the former’s proven capabilities in the open-source AI ecosystem. Recent benchmarks from Hugging Face, a leading collaborative machine-learning platform, position Qwen at the forefront of open-source large language models (LLMs).

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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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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. However, the key elements driving these improvements remain unclear.

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Analytics Vidhya

OCTOBER 27, 2023

A group of AI researchers from Tencent YouTu Lab and the University of Science and Technology of China (USTC) have unveiled “Woodpecker,” an AI framework created to address the enduring problem of hallucinations in Multimodal Large Language Models (MLLMs). This is a ground-breaking development.

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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. In conclusion, the MM1.5

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Marktechpost

NOVEMBER 6, 2024

The complexity of cyber threats is expanding, with malicious actors now leveraging artificial intelligence to breach defenses, influence public opinion, and compromise vital infrastructure. Meet Defense Llama , an ambitious collaborative project introduced by Scale AI and Meta.

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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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AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? Generative AI is igniting a new era of innovation within the back office.

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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.

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Marktechpost

MARCH 24, 2024

Large language models have revolutionized natural language processing, providing machines with human-like language abilities. However, despite their prowess, these models grapple with a crucial issue- the Reversal Curse. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Artificial Intelligence Artificial Intelligence Large Language Models Natural Language Processing 140

AI Weekly

JANUARY 4, 2024

Powered by superai.com In the News Top AI Podcasts in 2024 In this article, we will explore the top AI podcasts for 2024 that offer insightful discussions, interviews, news, trends, and expert insights in the field of artificial intelligence. Apptronik launched its humanoid robot "Apollo" in August.

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Robotics Large Language Models Artificial Intelligence Artificial Intelligence 264

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. The attention mechanism, a core component, further exacerbates these challenges due to its quadratic complexity relative to sequence length.

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