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:

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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 308

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.

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Robotics Artificial Intelligence Artificial Intelligence Large Language Models 255

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

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LLM AI Researcher AI Research Large Language Models 82

Marktechpost

SEPTEMBER 16, 2023

Recent studies show that handling an LLM request can be expensive, up to ten times higher than a traditional keyword search. So, there is a growing need to boost the throughput of LLM serving systems to minimize the per-request expenses. To further reduce memory utilization, the researchers have also deployed vLLM.

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Machine Learning LLM Large Language Models Algorithm 143

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

Marktechpost

MARCH 1, 2025

Current memory systems for large language model (LLM) agents often struggle with rigidity and a lack of dynamic organization. This rigidity can hinder an agents ability to effectively process complex tasks or learn from novel experiences, such as encountering a new mathematical solution. Check out the Paper and GitHub Page.

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LLM Large Language Models Data Analysis AI Researcher 92

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.

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LLM Large Language Models Big Data Artificial Intelligence 88

Marktechpost

MARCH 1, 2024

However, LLMs designed to maximize human preference can display sycophantic behavior, meaning they will give answers that match what the user thinks is right, even if that perspective isn’t correct. The LLM performs a classification task in response to a user prompt at the initial turn of the discussion.

Machine Learning 124

Machine Learning LLM AI Researcher AI Research 124

Marktechpost

MARCH 3, 2024

Researchers from the University of Potsdam, Qualcomm AI Research, and Amsterdam introduced a novel hybrid approach, combining LLMs with SLMs to optimize the efficiency of autoregressive decoding. This process begins with the LLM encoding the prompt into a comprehensive representation. speedup of LLM-to-SLM alone.

Machine Learning 131

Machine Learning AI Researcher AI Research Large Language Models 131

Marktechpost

APRIL 24, 2024

Researchers at J.P. Morgan AI Research have introduced FlowMind , a system employing LLMs, particularly Generative Pretrained Transformer (GPT), to automate workflows dynamically. In the workflow generation phase, the LLM applies this knowledge to generate and execute code based on user inputs dynamically.

Machine Learning 138

Machine Learning AI Researcher AI Research Large Language Models 138

Marktechpost

FEBRUARY 1, 2025

Machine learning, by contrast, provides flexibility and can learn from data, but in certain situations, it may offer less transparency or guarantee of correctness. Image Source Agentic AI unites these approaches. 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

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

Flipboard

FEBRUARY 10, 2025

DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. It employs reinforcement learning techniques to enhance its reasoning capabilities, enabling it to perform complex tasks such as mathematical problem-solving and coding. 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

DECEMBER 30, 2023

Therefore, a team of researchers from Imperial College London, Qualcomm AI Research, QUVA Lab, and the University of Amsterdam have introduced LLM Surgeon , a framework for unstructured, semi-structured, and structured LLM pruning that prunes the model in multiple steps, updating the weights and curvature estimates between each step.

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Large Language Models Machine Learning LLM Artificial Intelligence 134

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.

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LLM Large Language Models AI AI 79

Marktechpost

DECEMBER 8, 2023

Many frameworks have attempted to use LLMs for task-oriented talks, including Langchain, Semantic Kernel, Transformers Agent, Agents, AutoGen, and JARVIS. Using these frameworks, users may communicate with LLM-powered bots by asking questions in plain language and getting answers. If you like our work, you will love our newsletter.

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Machine Learning LLM Large Language Models Chatbots 128

Marktechpost

MARCH 3, 2024

Empirical evidence from the research highlights the superiority of MobileLLM over existing models within the same parameter constraints. Demonstrating notable improvements in accuracy across a breadth of benchmarks, MobileLLM sets a new standard for on-device LLM deployment. If you like our work, you will love our newsletter.

Machine Learning 132

Machine Learning AI Researcher AI Research Natural Language Processing 132

Marktechpost

DECEMBER 12, 2023

A team of researchers from Vector Institute, University of Waterloo, and Peking University introduced EAGLE (Extrapolation Algorithm for Greater Language-Model Efficiency) to combat the challenges inherent in LLM decoding. This collaboration predicts the next feature based on the second top layer’s current feature sequence.

Machine Learning 122

Machine Learning LLM Natural Language Processing Large Language Models 122

Marktechpost

JANUARY 12, 2024

The post Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Large Language Models 124

Large Language Models Machine Learning LLM AI Researcher 124

Marktechpost

DECEMBER 23, 2023

In a recent study, a team of researchers presented PowerInfer, an effective LLM inference system designed for local deployments using a single consumer-grade GPU. This limitation is noticeable in local deployments because there is less space for parallel processing when handling individual requests. Check out the Paper and Github.

Large Language Models 139

Large Language Models Machine Learning LLM Natural Language Processing 139

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

MAY 19, 2024

Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, which are essential for training predictive models without compromising sensitive information. The first step of the approach is to train LLM on a large corpus of public data.

Machine Learning 111

Machine Learning Large Language Models LLM Data Quality 111

AI Weekly

APRIL 25, 2024

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Planning a GenAI or LLM project?

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Robotics LLM Prompt Engineer Prompt Engineering 264

Marktechpost

MARCH 22, 2024

Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking the model’s generalizability and robustness. This facilitates a series of data transformations and enhances the effectiveness of the proposed LLM-based system.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Marktechpost

FEBRUARY 22, 2025

LLM-based multi-agent (LLM-MA) systems enable multiple language model agents to collaborate on complex tasks by dividing responsibilities. These issues limit the efficiency of LLM-MA systems in handling multi-step problems. Upon evaluation, researchers assessed TalkHier across multiple benchmarks to analyze its effectiveness.

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LLM Robotics Machine Learning AI 52

Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. How did you initially get interested in computer science and machine learning ? As the director of AI Research at Zoho & ManageEngine, what does your average workday look like?

AI Researcher 162

AI Researcher AI Research Machine Learning AI 162

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. They create LLMs specifically tailored for compiler optimization, demonstrating that these models achieve a 3.0% improvement with 2.5 billion compilations.

Large Language Models 138

Large Language Models AI Researcher AI Research LLM 138

Unite.AI

FEBRUARY 14, 2025

AI represents the next frontier in this evolution. The company aims to establish itself as a leader in AI security by combining expertise in machine learning, cybersecurity, and large-scale cloud operations. How does WitnessAI address concerns around LLM jailbreaks and prompt injection attacks?

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LLM ChatGPT AI Modeling AI 226

Marktechpost

MARCH 21, 2024

Yet, these methods often need to be more laborious or risk the integrity of the model’s learned information. A team from IBM AI Research and Princeton University has introduced Larimar , an architecture that marks a paradigm shift in LLM enhancement. If you like our work, you will love our newsletter.

Machine Learning 141

Machine Learning Large Language Models LLM Artificial Intelligence 141

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

DECEMBER 20, 2023

Researchers from Google DeepMind and Google Research address issues in unsupervised knowledge discovery with LLMs, particularly focusing on methods utilizing probes trained on LLM activation data generated from contrast pairs. These pairs consist of texts ending with Yes and No.

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Large Language Models Machine Learning LLM AI Researcher 131

Marktechpost

DECEMBER 22, 2023

These factors make LLMs costly to operate and limit their accessibility and practical application, particularly for organizations without extensive resources. The current landscape of LLM optimization involves various techniques, with model pruning standing out as a prominent method. If you like our work, you will love our newsletter.

Machine Learning 134

Machine Learning Large Language Models Neural Network LLM 134

IBM Journey to AI blog

SEPTEMBER 27, 2023

Proprietary LLMs are owned by a company and can only be used by customers that purchase a license. The license may restrict how the LLM can be used. On the other hand, open source LLMs are free and available for anyone to access, use for any purpose, modify and distribute.

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Large Language Models LLM Explainability Chatbots 289

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

Marktechpost

SEPTEMBER 14, 2023

Today, platforms like Hugging Face have made it easier for a wide range of users, from AI researchers to those with limited machine learning experience, to access and utilize pre-trained Large Language Models (LLMs) for different entities. Check out the Paper and Code.

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LLM Large Language Models Algorithm Machine Learning 128

Marktechpost

MARCH 2, 2025

Current approaches to accelerate LLM inference fall into three main categories: Quantizing Model, Generating Fewer Tokens, and Reducing KV Cache. The researchers also introduce the Dependency (Dep) metric to quantify compression effectiveness by measuring reliance on historical tokens during generation. 7B and Llama3.1-8B

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LLM AI Researcher AI Research ML 52