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 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,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit.

LLM 82

LLM AI Researcher AI Research Large Language Models 82

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

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.

LLM 79

LLM Large Language Models AI AI 79

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. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit. Check out the Paper , GitHub Page and Dataset.

AI Researcher 101

AI Researcher AI Research Large Language Models AI 101

Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1.

LLM 159

LLM AI AI Python 159

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.

Large Language Models 67

Large Language Models LLM NLP Data Quality 67

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.

LLM 101

LLM Robotics Neural Network Large Language Models 101

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 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.

Artificial Intelligence 165

Artificial Intelligence Artificial Intelligence ML Responsible AI 165

Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

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. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit. Check out the Paper.

Large Language Models 74

Large Language Models AI Researcher AI Research AI 74

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

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. If you like our work, you will love our newsletter.

AI Researcher 116

AI Researcher AI Research LLM Large Language Models 116

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

LLM 49

LLM Large Language Models Automation AI Researcher 49

Unite.AI

FEBRUARY 11, 2025

Our platform isn't just about workflow automation – we're creating the data layer that continuously monitors, evaluates, and improves AI systems across multimodal interactions.” An AI image generation company leveraged the platform to cut costs by 90% while maintaining 99% accuracy in catalog and marketing images.

Auto-complete 147

Auto-complete ML Engineer AI AI 147

Flipboard

FEBRUARY 26, 2025

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

LLM 174

LLM Large Language Models AI Researcher AI Research 174

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

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. Don’t Forget to join our 50k+ ML SubReddit.

LLM 111

LLM Algorithm AI Researcher AI Research 111

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

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. All Credit For This Research Goes To the Researchers on This Project. The post Large Language Models Surprise Meta AI Researchers at Compiler Optimization!

Large Language Models 138

Large Language Models AI Researcher AI Research LLM 138

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.

LLM 107

LLM AI Researcher AI Research Inference Engine 107

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

LLM 52

LLM AI Researcher AI Research ML 52

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.,

LLM 129

LLM Neural Network OpenAI Large Language Models 129

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.

Machine Learning 143

Machine Learning LLM Large Language Models Algorithm 143

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

NOVEMBER 23, 2023

LLM models have been increasingly deployed as potent linguistic agents capable of performing various programming-related activities. Standard code generation benchmarks test how well LLM can generate new code from scratch. Standard code generation benchmarks test how well LLM can generate new code from scratch.

Artificial Intelligence 133

Artificial Intelligence Artificial Intelligence ML Machine Learning 133

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

OCTOBER 7, 2023

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Researchers introduced RA-DIT for endowing LLMs with retrieval capabilities.

Artificial Intelligence 141

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 141

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. All Credit For This Research Goes To the Researchers on This Project.

LLM 128

LLM Large Language Models Algorithm Machine Learning 128

Marktechpost

DECEMBER 24, 2023

Additionally, LLM hallucination is an infamous issue that causes LLMs to generate unreliable content. To tackle the shortcomings of existing models, researchers at Microsoft have released InsightPilot, a system that automates the process of data exploration using LLMs. If you like our work, you will love our newsletter.

LLM 132

LLM Automation Insight Engine Data Analysis 132

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

LLM 52

LLM Robotics Machine Learning AI 52

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. Integrating the LLM with other modal models in a way that allows them to cooperate well is one of the main problems with MM-LLMs.

Large Language Models 136

Large Language Models AI Researcher AI Research LLM 136

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.

Large Language Models 134

Large Language Models Machine Learning LLM Artificial Intelligence 134

Marktechpost

SEPTEMBER 1, 2024

Current methods for improving LLM reasoning capabilities include strategies such as knowledge distillation, where a smaller model learns from a larger model, and self-improvement, where models are trained on data they generate themselves. Significant improvements in LLM performance were observed across various benchmarks.

LLM 137

LLM AI Modeling Large Language Models AI 137

Marktechpost

JANUARY 12, 2024

Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. 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.

Large Language Models 124

Large Language Models Machine Learning LLM AI Researcher 124