Marktechpost

DECEMBER 19, 2024

Hugging Face Releases Picotron: A New Approach to LLM Training Hugging Face has introduced Picotron, a lightweight framework that offers a simpler way to handle LLM training. 405B, and bridging the gap between academic research and industrial-scale applications. Trending: LG AI Research Releases EXAONE 3.5:

LLM 107

LLM Natural Language Processing Large Language Models AI Researcher 107

AI News

NOVEMBER 28, 2024

Reportedly led by a dozen AI researchers, scientists, and investors, the new training techniques, which underpin OpenAI’s recent ‘o1’ model (formerly Q* and Strawberry), have the potential to transform the landscape of AI development. Scaling the right thing matters more now,” they said.

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Large Language Models Big Data OpenAI AI Modeling 314

AI News

JUNE 28, 2023

Upon the completion of the transaction, the entire MosaicML team – including its renowned research team – is expected to join Databricks. MosaicML’s machine learning and neural networks experts are at the forefront of AI research, striving to enhance model training efficiency. appeared first on AI News.

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LLM Large Language Models Big Data Neural Network 282

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,

AI Researcher 91

AI Researcher AI Research Software Engineer AI 91

Marktechpost

DECEMBER 30, 2024

A team of researchers from The Chinese University of Hong Kong and Shenzhen Research Institute of Big Data introduce HuatuoGPT-o1: a medical LLM designed to enhance reasoning capabilities in the healthcare domain. This model outperforms general-purpose and domain-specific LLMs by following a two-stage learning process.

LLM 88

LLM Large Language Models Big Data Artificial Intelligence 88

AI Weekly

OCTOBER 10, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Department of Justice. You can also subscribe via email.

AI Researcher 278

AI Researcher AI Research Robotics Artificial Intelligence 278

Marktechpost

MARCH 4, 2025

Dont Forget to join our 80k+ ML SubReddit.

Automation 73

Automation AI Researcher AI Research LLM 73

Marktechpost

FEBRUARY 16, 2025

In conclusion, the research team successfully addressed the major bottlenecks of long-context inference with InfiniteHiP. The framework enhances LLM capabilities by integrating hierarchical token pruning, KV cache offloading, and RoPE generalization. Also, decoding throughput is increased by 3.2 on consumer GPUs (RTX 4090) and 7.25

LLM 82

LLM AI Researcher AI Research Large Language Models 82

Marktechpost

NOVEMBER 6, 2024

Developed with expertise from both AI and defense industries, the model is designed to specifically cater to the intricacies of national defense, providing agencies with a secure, specialized tool to counteract the risks of a rapidly evolving digital landscape. Don’t Forget to join our 55k+ ML SubReddit.

LLM 92

LLM Large Language Models Artificial Intelligence Artificial Intelligence 92

Marktechpost

MARCH 5, 2025

Researchers from Stanford University and the University of Wisconsin-Madison introduce LLM-Lasso, a framework that enhances Lasso regression by integrating domain-specific knowledge from LLMs. Unlike previous methods that rely solely on numerical data, LLM-Lasso utilizes a RAG pipeline to refine feature selection.

Large Language Models 77

Large Language Models LLM Machine Learning Prompt Engineer 77

Marktechpost

FEBRUARY 5, 2025

OpenAIs Deep Research AI Agent offers a powerful research assistant at a premium price of $200 per month. Here are four fully open-source AI research agents that can rival OpenAI’s offering: 1. It utilizes multiple search engines, content extraction tools, and LLM APIs to provide detailed insights.

OpenAI 127

OpenAI LLM AI Researcher AI Research 127

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.

LLM 92

LLM Large Language Models Data Analysis AI Researcher 92

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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OpenAI LLM Explainability Large Language Models 178

Marktechpost

MARCH 8, 2025

To make LLMs more practical and scalable, it is necessary to develop methods that reduce the computational footprint while enhancing their reasoning capabilities. Previous approaches to improving LLM efficiency have relied on instruction fine-tuning, reinforcement learning, and model distillation. Check out the Paper and GitHub Page.

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LLM Large Language Models AI AI 79

Marktechpost

FEBRUARY 1, 2025

Classical vs. Modern Approaches Classical Symbolic Reasoning Historically, AI researchers focused heavily on symbolic reasoning, where knowledge is encoded as rules or facts in a symbolic language. LLM-Based Reasoning (GPT-4 Chain-of-Thought) A recent development in AI reasoning leverages LLMs.

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LLM Robotics Neural Network Large Language Models 101

Marktechpost

MARCH 22, 2025

Despite their potential, LLM-based agents struggle with multi-turn decision-making. All credit for this research goes to the researchers of this project. This introduces the need for training methods beyond simple response generation and instead focuses on optimizing the entire trajectory of interactions.

AI Researcher 101

AI Researcher AI Research Large Language Models AI 101

Unite.AI

NOVEMBER 17, 2024

As developers and researchers push the boundaries of LLM performance, questions about efficiency loom large. A recent study from researchers at Harvard, Stanford, and other institutions has upended this traditional perspective. Tim Dettmers, an AI researcher from Carnegie Mellon University, views this study as a turning point.

AI Developer 162

AI Developer AI Development AI AI 162

Marktechpost

MARCH 6, 2025

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. The research team implemented rigorous data-cleaning techniques using LLM-based quality classifiers.

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Large Language Models LLM NLP Data Quality 67

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

Unite.AI

JANUARY 6, 2025

But Google just flipped this story on its head with an approach so simple it makes you wonder why no one thought of it sooner: using smaller AI models as teachers. This is the novel method challenging our traditional approach to training LLMs. When Google researchers tested SALT using a 1.5 The results are compelling.

AI Developer 189

AI Developer AI Development AI AI 189

Marktechpost

MARCH 24, 2024

However, complexities are involved in developing and evaluating new reasoning strategies and agent architectures for LLM agents due to the intricacy of existing frameworks. A research team from Salesforce AI Research presents AgentLite , an open-source AI Agent library that simplifies the design and deployment of LLM agents.

LLM 140

LLM AI Researcher AI Research Large Language Models 140

Unite.AI

FEBRUARY 19, 2025

A typical LLM using CoT prompting might solve it like this: Determine the regular price: 7 * $2 = $14. A human can infer such a rule immediately, but an LLM cannot as it simply follows a structured sequence of calculations. Identify that the discount applies (since 7 > 5). Compute the discount: 7 * $1 = $7.

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Large Language Models LLM Neural Network OpenAI 182

Flipboard

FEBRUARY 26, 2025

OctoTools plans, executes, and verifies LLM tool use, surpassing competitors with its unique modular architecture. Read More

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LLM Large Language Models AI Researcher AI Research 174

AI Weekly

JANUARY 16, 2025

therobotreport.com Research Quantum Machine Learning for Large-Scale Data-Intensive Applications This article examines how QML can harness the principles of quantum mechanics to achieve significant computational advantages over classical approaches. You can also subscribe via email.

Robotics 255

Robotics Artificial Intelligence Artificial Intelligence Large Language Models 255

Marktechpost

OCTOBER 13, 2024

Don’t Forget to join our 50k+ ML SubReddit [Upcoming Event- Oct 17, 2024] RetrieveX – The GenAI Data Retrieval Conference (Promoted) The post Salesforce AI Research Proposes Dataset-Driven Verifier to Improve LLM Reasoning Consistency appeared first on MarkTechPost.

AI Researcher 116

AI Researcher AI Research LLM Large Language Models 116

Marktechpost

FEBRUARY 23, 2025

In this tutorial, we will build an efficient Legal AI CHatbot using open-source tools. It provides a step-by-step guide to creating a chatbot using bigscience/T0pp LLM , Hugging Face Transformers, and PyTorch. ” is input, the chatbot provides a relevant AI-generated legal response.

AI Chatbots 81

AI Chatbots NLP Chatbots LLM 81

Marktechpost

MARCH 29, 2025

This approach lays the foundation for more parallel-friendly and hardware-efficient LLM designs. All credit for this research goes to the researchers of this project. Check out the Paper. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit.

Large Language Models 74

Large Language Models AI Researcher AI Research AI 74

AssemblyAI

OCTOBER 31, 2024

  Best for custom summaries AssemblyAI Source: AssemblyAI AssemblyAI is an industry-leading API for speech-to-text and speech understanding models, built by a team of top Speech AI research experts.

Auto-complete 286

Auto-complete AI AI Automation 286

Marktechpost

MARCH 20, 2025

Microsoft AI Research has recently developed Claimify, an advanced claim-extraction method based on LLMs, specifically designed to enhance accuracy, comprehensiveness, and context-awareness in extracting claims from LLM outputs. Claimify addresses the limitations of existing methods by explicitly dealing with ambiguity.

LLM 49

LLM Large Language Models Automation AI Research 49

Marktechpost

OCTOBER 15, 2024

The key innovation in PAVs is using a “prover policy,” distinct from the base policy that the LLM is following. This enables the LLM to explore a wider range of potential solutions, even when early steps do not immediately lead to a correct solution. All credit for this research goes to the researchers of this project.

Machine Learning 114

Machine Learning LLM AI Researcher AI Research 114

Unite.AI

FEBRUARY 1, 2025

But something interesting just happened in the AI research scene that is also worth your attention. Allen AI quietly released their new Tlu 3 family of models, and their 405B parameter version is not just competing with DeepSeek – it is matching or beating it on key benchmarks. The headlines keep coming.

AI Developer 262

AI Developer AI Development AI Modeling Data Quality 262

Flipboard

FEBRUARY 10, 2025

DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. Access to Hugging Face Hub You must have access to Hugging Face Hubs deepseek-ai/DeepSeek-R1-Distill-Llama-8B model weights from your environment. Access to code The code used in this post is available in the following GitHub repo.

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LLM AI AI Python 161

Marktechpost

OCTOBER 17, 2024

Researchers from Google Cloud AI, Google DeepMind, and the University of Washington have proposed a new approach called MODEL SWARMS , which utilizes swarm intelligence to adapt LLMs through collaborative search in the weight space.

LLM 111

LLM Algorithm AI Researcher AI Research 111

Marktechpost

OCTOBER 16, 2024

Specifically, while LLMs are becoming capable of handling longer input sequences, the increase in retrieved information can overwhelm the system. The challenge lies in making sure that the additional context improves the accuracy of the LLM’s outputs rather than confusing the model with irrelevant information.

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LLM AI Researcher AI Research Inference Engine 107

ML @ CMU

SEPTEMBER 13, 2024

If a certain phrase exists within the LLM training data (e.g., is not itself generated text) and it can be reproduced with fewer input tokens than output tokens, then the phrase must be stored somehow within the weights of the LLM. We show that it appropriately ascribes many famous quotes as being memorized by existing LLMs (i.e.,

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LLM Neural Network OpenAI Large Language Models 129

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.

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OpenAI Large Language Models Big Data Explainability 316

Snorkel AI

MARCH 19, 2025

Were taking a look at the research paper, LLMs can easily learn to reason from demonstration (Li et al., 2025) , in this week’s community research spotlight. Whats the big idea regarding LLM reasoning distillation? appeared first on Snorkel AI. lower accuracy. 67% of reasoning steps shuffled?

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LLM OpenAI AI Researcher AI Research 52