AI Research, AI Researcher and Large Language Models

The Emergence of Self-Reflection in AI: How Large Language Models Are Using Personal Insights to Evolve

Unite.AI

MARCH 1, 2025

Artificial intelligence has made remarkable strides in recent years, with large language models (LLMs) leading in natural language understanding, reasoning, and creative expression. Yet, despite their capabilities, these models still depend entirely on external feedback to improve.

Large Language Models

Large Language Models LLM AI AI

The Hidden Risks of DeepSeek R1: How Large Language Models Are Evolving to Reason Beyond Human Understanding

Unite.AI

MARCH 6, 2025

Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media. Yet, beneath its impressive capabilities lies a concerning trend that could redefine the future of AI.

Large Language Models

Large Language Models Explainability Black Box AI AI Research

Majority of AI Researchers Say Tech Industry Is Pouring Billions Into a Dead End

Flipboard

MARCH 18, 2025

This, more or less, is the line being taken by AI researchers in a recent survey. In December, Google CEO Sundar Pichai went on the record as saying that easy AI gains were "over" but confidently asserted that there was no reason the industry couldn't "just keep scaling up." You can only throw so much money at a problem.

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How to Achieve High-Accuracy Results When Using LLMs

Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

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Tencent AI Researchers Introduce Hunyuan-T1: A Mamba-Powered Ultra-Large Language Model Redefining Deep Reasoning, Contextual Efficiency, and Human-Centric Reinforcement Learning

Marktechpost

MARCH 29, 2025

Large language models struggle to process and reason over lengthy, complex texts without losing essential context. Traditional models often suffer from context loss, inefficient handling of long-range dependencies, and difficulties aligning with human preferences, affecting the accuracy and efficiency of their responses.

Large Language Models

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Knowledge Fusion of Large Language Models (LLMs)

Analytics Vidhya

FEBRUARY 16, 2024

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

Large Language Models

Large Language Models Natural Language Processing NLP AI Research

New AI training techniques aim to overcome current challenges

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.

Large Language Models

Large Language Models Big Data OpenAI AI Modeling

5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit GPT-4o → 3.

Large Language Models

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The Full Story of Large Language Models and RLHF

AssemblyAI

MAY 3, 2023

We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning. The problem of how to mitigate the risks and misuse of these AI models has therefore become a primary concern for all companies offering access to large language models as online services.

Large Language Models

Large Language Models Neural Network LLM ChatGPT

Open source large language models: Benefits, risks and types

IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

Large Language Models

Large Language Models LLM Explainability Chatbots

NVIDIA AI Researchers Introduce FFN Fusion: A Novel Optimization Technique that Demonstrates How Sequential Computation in Large Language Models LLMs can be Effectively Parallelized

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. All credit for this research goes to the researchers of this project.

Large Language Models

Large Language Models AI Research AI Researcher AI

Bilingual Powerhouse EXAONE 3.5 Sets New AI Standards

Analytics Vidhya

JANUARY 16, 2025

is the latest iteration in a series of large language models developed by LG AI Research, designed to enhance the capabilities and accessibility of artificial intelligence technologies. Each model variant is tailored to meet different […] The post Bilingual Powerhouse EXAONE 3.5 EXAONE 3.5 billion, 7.8

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The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them

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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Inception Unveils Mercury: The First Commercial-Scale Diffusion Large Language Model

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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AutoGen: Powering Next Generation Large Language Model Applications

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.

Large Language Models

Large Language Models LLM Auto-complete Automation

PRISM Launches as the World’s First Non-Profit Dedicated to Researching Sentient AI

Unite.AI

MARCH 19, 2025

While no AI today is definitively conscious, some researchers believe that advanced neural networks , neuromorphic computing , deep reinforcement learning (DRL), and large language models (LLMs) could lead to AI systems that at least simulate self-awareness.

Large Language Models

Large Language Models Neural Network AI AI

AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP).

Large Language Models

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How Does Claude Think? Anthropic’s Quest to Unlock AI’s Black Box

Unite.AI

APRIL 2, 2025

Large language models (LLMs) like Claude have changed the way we use technology. But despite their amazing abilities, these models are still a mystery in many ways. The Bottom Line Anthropics work in making large language models (LLMs) like Claude more understandable is a significant step forward in AI transparency.

Large Language Models

Large Language Models Neural Network Explainability AI Modeling

DeepSeek-R1 reasoning models rival OpenAI in performance

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.

OpenAI

OpenAI Large Language Models Big Data Explainability

Meta AI Introduces MLGym: A New AI Framework and Benchmark for Advancing AI Research Agents

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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Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters

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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Generative AI use soars among brits, but is it sustainable?

AI News

NOVEMBER 27, 2024

The cost of intelligence: Generative AI’s carbon footprint Behind every AI-generated email, idea, or recommendation are data centres running thousands of energy-hungry servers. Data centres are responsible for both training the large language models that power generative AI and processing individual user queries.

Generative AI

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Meta AI Researchers Introduced SWEET-RL and CollaborativeAgentBench: A Step-Wise Reinforcement Learning Framework to Train Multi-Turn Language Agents for Realistic Human-AI Collaboration Tasks

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.

AI Research

AI Research AI Researcher Large Language Models AI

Could Alibaba’s Qwen AI power the next generation of iPhones in China?

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).

Big Data

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NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts

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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Microsoft AI Released LongRoPE2: A Near-Lossless Method to Extend Large Language Model Context Windows to 128K Tokens While Retaining Over 97% Short-Context Accuracy

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.

Large Language Models

Large Language Models Algorithm AI AI

Anthropic Finds a Way to Extract Harmful Responses from LLMs

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.

Large Language Models

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Ant Group uses domestic chips to train AI models and cut costs

AI News

APRIL 3, 2025

Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familiar with the matter. The results were reportedly comparable to those produced with Nvidia’s H800 chips, sources claim.

AI Modeling

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Alibaba Released Babel: An Open Multilingual Large Language Model LLM Serving Over 90% of Global Speakers

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.

Large Language Models

Large Language Models LLM NLP Data Quality

Researchers at Stanford Introduces LLM-Lasso: A Novel Machine Learning Framework that Leverages Large Language Models (LLMs) to Guide Feature Selection in Lasso ℓ1 Regression

Marktechpost

MARCH 5, 2025

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

Large Language Models

Large Language Models LLM Machine Learning Prompt Engineering

How Woodpecker is Revolutionizing AI Accuracy in Language Models?

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.

Large Language Models

Large Language Models AI Researcher AI Research AI

Revolutionizing Healthcare: Exploring the Impact and Future of Large Language Models in Medicine

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.

Large Language Models

Large Language Models LLM Data Scientist Continuous Learning

Hippocratic is building a large language model for healthcare

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.

Large Language Models

Large Language Models OpenAI Explainability LLM

AI News Weekly - Issue #421: In AI copyright case, Zuckerberg turns to YouTube for his defense - Jan 16th 2025

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.

Robotics

Robotics Artificial Intelligence Artificial Intelligence Large Language Models

AI Singularity and the End of Moore’s Law: The Rise of Self-Learning Machines

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. Ray Kurzweil , a futurist and AI researcher at Google, predicts that AGI will arrive by 2029, followed closely by ASI. Experts have different opinions on when this might happen.

Neural Network

Neural Network Deep Learning Algorithm AI

KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU

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.

LLM

LLM AI Research AI Researcher Large Language Models

Microsoft Introduces Automatic Prompt Optimization Framework for LLMs

Analytics Vidhya

MAY 15, 2023

Microsoft AI Research has recently introduced a new framework called Automatic Prompt Optimization (APO) to significantly improve the performance of large language models (LLMs).

Prompt Engineering

Prompt Engineering Prompt Engineer Large Language Models AI Researcher

Tufa Labs Introduced LADDER: A Recursive Learning Framework Enabling Large Language Models to Self-Improve without Human Intervention

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.

Large Language Models

Large Language Models OpenAI AI Researcher AI Research

Survey of 2,778 AI authors: six parts in pictures

AI Impacts

JANUARY 4, 2024

The 2023 Expert Survey on Progress in AI is out , this time with 2778 participants from six top AI venues (up from about 700 and two in the 2022 ESPAI ), making it probably the biggest ever survey of AI researchers. Are concerns about AI due to misunderstandings of AI research? Here is the preprint.

Large Language Models

Large Language Models AI Research AI Researcher AI

NotebookLM Review: The Future of Research Unlocked

Unite.AI

APRIL 5, 2025

NotebookLM is Google's AI research and note-taking tool that understands source materials. These large language models are combined with specialized systems for document understanding and source attribution. Both platforms offer AI summarization and research tools. What is NotebookLM?

Chatbots

Chatbots AI Tools AI Researcher AI Research

Amazon is building a LLM to rival OpenAI and Google

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.

LLM

LLM OpenAI Large Language Models Big Data

Google is Making AI Training 28% Faster by Using SLMs as Teachers

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.

AI Developer

AI Developer AI Development AI AI

LLMs Are Not Reasoning—They’re Just Really Good at Planning

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 ?

Large Language Models

Large Language Models LLM Neural Network OpenAI

Researchers Trained an AI on Flawed Code and It Became a Psychopath

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.

OpenAI

OpenAI LLM Explainability Large Language Models

Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? Could you discuss how LLMs and Generative AI have changed the workflow at ManageEngine?

AI Researcher

AI Researcher AI Research Machine Learning AI

The Emergence of Self-Reflection in AI: How Large Language Models Are Using Personal Insights to Evolve

The Hidden Risks of DeepSeek R1: How Large Language Models Are Evolving to Reason Beyond Human Understanding

Webinars

Trending Sources

Majority of AI Researchers Say Tech Industry Is Pouring Billions Into a Dead End

Webinars

Tencent AI Researchers Introduce Hunyuan-T1: A Mamba-Powered Ultra-Large Language Model Redefining Deep Reasoning, Contextual Efficiency, and Human-Centric Reinforcement Learning

Knowledge Fusion of Large Language Models (LLMs)

New AI training techniques aim to overcome current challenges

5 Best Large Language Models (LLMs) (September 2024)

The Full Story of Large Language Models and RLHF

Open source large language models: Benefits, risks and types

NVIDIA AI Researchers Introduce FFN Fusion: A Novel Optimization Technique that Demonstrates How Sequential Computation in Large Language Models LLMs can be Effectively Parallelized

Bilingual Powerhouse EXAONE 3.5 Sets New AI Standards

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them

Inception Unveils Mercury: The First Commercial-Scale Diffusion Large Language Model

AutoGen: Powering Next Generation Large Language Model Applications

PRISM Launches as the World’s First Non-Profit Dedicated to Researching Sentient AI

AI Learns from AI: The Emergence of Social Learning Among Large Language Models

How Does Claude Think? Anthropic’s Quest to Unlock AI’s Black Box

DeepSeek-R1 reasoning models rival OpenAI in performance

Meta AI Introduces MLGym: A New AI Framework and Benchmark for Advancing AI Research Agents

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters

Generative AI use soars among brits, but is it sustainable?

Meta AI Researchers Introduced SWEET-RL and CollaborativeAgentBench: A Step-Wise Reinforcement Learning Framework to Train Multi-Turn Language Agents for Realistic Human-AI Collaboration Tasks

Could Alibaba’s Qwen AI power the next generation of iPhones in China?

NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts

Microsoft AI Released LongRoPE2: A Near-Lossless Method to Extend Large Language Model Context Windows to 128K Tokens While Retaining Over 97% Short-Context Accuracy

Anthropic Finds a Way to Extract Harmful Responses from LLMs

Ant Group uses domestic chips to train AI models and cut costs

Alibaba Released Babel: An Open Multilingual Large Language Model LLM Serving Over 90% of Global Speakers

Researchers at Stanford Introduces LLM-Lasso: A Novel Machine Learning Framework that Leverages Large Language Models (LLMs) to Guide Feature Selection in Lasso ℓ1 Regression

How Woodpecker is Revolutionizing AI Accuracy in Language Models?

Revolutionizing Healthcare: Exploring the Impact and Future of Large Language Models in Medicine

Hippocratic is building a large language model for healthcare

AI News Weekly - Issue #421: In AI copyright case, Zuckerberg turns to YouTube for his defense - Jan 16th 2025

AI Singularity and the End of Moore’s Law: The Rise of Self-Learning Machines

KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU

Microsoft Introduces Automatic Prompt Optimization Framework for LLMs

Tufa Labs Introduced LADDER: A Recursive Learning Framework Enabling Large Language Models to Self-Improve without Human Intervention

Survey of 2,778 AI authors: six parts in pictures

NotebookLM Review: The Future of Research Unlocked

Amazon is building a LLM to rival OpenAI and Google

Google is Making AI Training 28% Faster by Using SLMs as Teachers

LLMs Are Not Reasoning—They’re Just Really Good at Planning

Researchers Trained an AI on Flawed Code and It Became a Psychopath

Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

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