Marktechpost

SEPTEMBER 10, 2024

While some models attempt to integrate past interactions to inform future recommendations, they often need to provide a robust solution for sequential music recommendations, especially in recognizing when users are likely to repeat their listening patterns. If you like our work, you will love our newsletter.

Neural Network 105

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Marktechpost

OCTOBER 11, 2024

RAG methods enable LLMs to access additional information from external sources, such as web-based databases, scientific literature, or domain-specific corpora, which improves their performance in knowledge-intensive tasks. This process identifies and resolves knowledge conflicts through an iterative refinement of information sources.

AI Researcher 133

AI Researcher AI Research LLM AI 133

Marktechpost

NOVEMBER 21, 2023

Published in Nature Machine Intelligence, the paper introduces Senseiver, building upon Google’s Perceiver IO AI model. It ingeniously applies techniques from natural-language models, akin to ChatGPT, to reconstruct comprehensive information, like oceanic temperatures, from sparse data collected by a limited number of sensors.

Convolutional Neural Networks 105

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 105

Marktechpost

OCTOBER 24, 2024

Researchers from Salesforce AI Research have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. Don’t Forget to join our 55k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

AI Researcher 121

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Marktechpost

OCTOBER 25, 2024

By needing a fine-grained coverage assessment, these systems frequently overlook or inadequately integrate essential information into their generated answers. The Georgia Institute of Technology and Salesforce AI Research researchers introduce a new framework for evaluating RAG systems based on a metric called “sub-question coverage.”

AI Researcher 111

AI Researcher AI Research Categorization Inference Engine 111

Marktechpost

OCTOBER 21, 2024

This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics. All credit for this research goes to the researchers of this project. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 115

Large Language Models Inference Engine AI AI 115

Marktechpost

OCTOBER 16, 2024

One major innovation is retrieval-augmented generation (RAG), which allows LLMs to retrieve relevant information from external sources, such as large knowledge databases, to generate better answers. Specifically, while LLMs are becoming capable of handling longer input sequences, the increase in retrieved information can overwhelm the system.

LLM 111

LLM AI Researcher AI Research Inference Engine 111

Marktechpost

OCTOBER 13, 2024

This new approach allowed the upcycled MoE models to better utilize the information contained in the expert layers, leading to improved performance. One of the key findings was that the softmax-then-topK routing consistently outperformed other approaches, such as topK-then-softmax, which is often used in dense models.

Large Language Models 126

Large Language Models AI Researcher AI Research Natural Language Processing 126

Marktechpost

JULY 22, 2024

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has highlighted the critical need for large, diverse, and high-quality datasets to train and evaluate foundation models. Privacy concerns must be addressed to prevent revealing sensitive information.

AI Researcher 123

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Marktechpost

OCTOBER 16, 2024

RCS tasks are computationally hard for classical computers due to the exponential growth of information as quantum circuits scale. Don’t Forget to join our 50k+ ML SubReddit. Random circuit sampling (RCS) has emerged as a leading method to evaluate quantum processors and was introduced in 2019.

AI Researcher 124

AI Researcher AI Research Inference Engine AI 124

Marktechpost

JANUARY 2, 2024

In recent research, a team of researchers from Kuaishou Inc. and Harbin Institute of Technology has introduced KwaiAgents, an information-seeking agent system based on LLMs. Even smaller models, such as 7B or 13B, have demonstrated generalized agent capabilities for tasks involving the retrieval of information from many systems.

Large Language Models 105

Large Language Models Natural Language Processing LLM Artificial Intelligence 105

Marktechpost

MARCH 24, 2024

These enhanced agents can now process information, interact with their environment, and execute multi-step actions, heralding a new era of task-solving capabilities. 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

Marktechpost

MAY 25, 2024

Their exceptional effectiveness extends to a wide range of financial sector tasks, including sophisticated disclosure summarization, sentiment analysis, information extraction, report production, and compliance verification. Because LLMs are good at processing and producing language-based material, they perform well in textual domains.

AI Researcher 134

AI Researcher AI Research Large Language Models Machine Learning 134

Flipboard

JULY 24, 2023

There are also various features of Quivr openAI software that make it an important tool for storing unstructured data and information. It also helps in generating information and producing more data with the help of the Natural Language Processing technique. All Credit For This Research Goes To the Researchers on This Project.

Natural Language Processing 122

Natural Language Processing Artificial Intelligence Artificial Intelligence OpenAI 122

Marktechpost

DECEMBER 13, 2023

Though LLMs have proven capable of handling plain text, handling applications where textual data is linked to structural information in the form of graphs is becoming increasingly necessary. The team has shared information on benchmark datasets and open-source scripts to help in applying and assessing these methods.

Large Language Models 130

Large Language Models AI Researcher AI Research Neural Network 130

Marktechpost

MARCH 11, 2024

In a recent study, a team of researchers addressed the intrinsic drawbacks of current online content portals that enable users to ask questions to improve their comprehension, especially in learning environments such as lectures. All credit for this research goes to the researchers of this project.

AI Researcher 128

AI Researcher AI Research Algorithm AI 128

Marktechpost

JANUARY 5, 2024

While Document AI (DocAI) has made significant strides in areas such as question answering, categorization, and extraction, real-world applications continue to face persistent hurdles related to accuracy, reliability, contextual understanding, and generalization to new domains. If you like our work, you will love our newsletter.

Large Language Models 135

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Marktechpost

NOVEMBER 28, 2023

Additionally, transcribed text is believed to encapsulate all the necessary semantic information. This was the summary of De-Diffusion, a novel AI technique to convert an input image into a piece of information-rich text that can act as a flexible interface between different modalities, enabling diverse audio-vision-language applications.

Large Language Models 126

Large Language Models Deep Learning LLM ChatGPT 126

Marktechpost

DECEMBER 1, 2023

In the pursuit of refining cancer therapies, researchers have introduced a groundbreaking solution that significantly elevates our comprehension of tumor dynamics. This study centers on precisely predicting intratumoral fluid pressure (IFP) and liposome accumulation, unveiling a pioneering physics-informed deep learning model.

Deep Learning 119

Deep Learning AI Researcher AI Research Machine Learning 119

Marktechpost

NOVEMBER 14, 2023

The ambition of automatically converting informal mathematics into formally provable material is as old as standard mathematics itself. This is challenging because it requires expensive, highly qualified computer science and mathematics specialists to translate informal mathematical knowledge into a formal language manually.

Large Language Models 124

Large Language Models Neural Network LLM Automation 124

Marktechpost

JANUARY 15, 2024

LLMs are trained on vast amounts of web data, which can lead to unintentional memorization and reproduction of sensitive or private information. The central problem addressed here is effectively unlearning sensitive information from LLMs without retraining from scratch, which is both costly and impractical.

Large Language Models 136

Large Language Models Machine Learning AI Researcher AI Research 136

Marktechpost

OCTOBER 20, 2023

Multimodal graph learning can generate descriptive captions for images by combining visual data with textual information. Multimodal graph learning is also used in autonomous vehicles to combine data from various sensors, such as cameras, LiDAR, radar, and GPS, to enhance perception and make informed driving decisions.

Artificial Intelligence 133

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 133

Marktechpost

SEPTEMBER 21, 2023

Tasks related to information security, system architecture, and other aspects of IT operations require domain-specific knowledge and terminology. To address this challenge, a research team has introduced the “Owl,” a large language model explicitly tailored for IT operations.

Large Language Models 130

Large Language Models AI Researcher AI Research NLP 130

Marktechpost

MAY 13, 2024

This is achieved by employing a continuous diffusion process adjusted to focus on relevant subgraphs, thus preserving critical molecular information throughout the learning phase. To conclude, SubGDiff significantly advances molecular representation learning by integrating subgraph information into the diffusion process.

AI Researcher 105

AI Researcher AI Research AI AI 105

Marktechpost

JULY 8, 2024

In recent research, researchers from Ohio State University and Carnegie Mellon University have studied whether deep learning models such as transformers can learn to reason implicitly over parametric information. All credit for this research goes to the researchers of this project.

AI Researcher 126

AI Researcher AI Research Large Language Models Deep Learning 126

Marktechpost

SEPTEMBER 6, 2023

GPT3, LaMDA, PALM, BLOOM, and LLaMA are just a few examples of large language models (LLMs) that have demonstrated their ability to store and apply vast amounts of information. Planning for questions that require visual information is a multi-step process due to the complexity of the assignment.

Large Language Models 137

Large Language Models LLM Metadata AI 137

Marktechpost

DECEMBER 7, 2023

Consequently, the researchers have formulated a mapping technique that encodes the positions and velocities of all masses and springs into the quantum wavefunction of a system of qubits. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Algorithm 122

Algorithm AI Researcher AI Research AI 122

Marktechpost

JULY 29, 2023

Join the fastest growing ML Community on Reddit Researchers claim that QASA contains 1798 QA pairs on AI/ML papers, which regular readers asked for. This will ease the effort in retrieving and reranking the relevant information to read and restrict the useful information manually. to 29 questions and 39.4%

AI Researcher 98

AI Researcher AI Research AI AI 98

Marktechpost

DECEMBER 25, 2023

One of the major issues with CDI, though, is the phase retrieval problem, where the detectors fail to record the phase of the diffracted wave, leading to information loss. A considerable amount of research has been done to address this problem, focusing mainly on using artificial neural networks.

Deep Learning 122

Deep Learning Neural Network AI Researcher AI Research 122

Marktechpost

AUGUST 31, 2024

AGP is able to reallocate resources to improve the precision of the most critical gradients by identifying and pruning the less informative gradients or those that make less of a contribution to the model’s learning process. The reality that not all gradients are equally significant is used by the AGP method.

Neural Network 119

Neural Network AI Researcher AI Research Algorithm 119

Marktechpost

NOVEMBER 21, 2023

However, the relational information of weight matrices is difficult to optimally maintain by conventional fine-tuning techniques, which have a low learning rate. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

AI Researcher 124

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Marktechpost

NOVEMBER 20, 2024

By leveraging vast datasets of hydrological and meteorological information across diverse regions, researchers develop models to predict water-related phenomena. Don’t Forget to join our 55k+ ML SubReddit. FREE AI VIRTUAL CONFERENCE ] SmallCon: Free Virtual GenAI Conference ft.

AI Researcher 79

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Marktechpost

JANUARY 30, 2024

In conclusion, the objective of this paper is to enhance the efficiency of language models in handling substantial amounts of information while minimising computer memory usage. Lastly, the evaluations focused exclusively on models engaged in both reading and generating information. Also, don’t forget to follow us on Twitter.

AI Researcher 123

AI Researcher AI Research Large Language Models AI 123

Marktechpost

MARCH 31, 2024

questions, these models cannot accurately localize periods and often hallucinate irrelevant information. Second, the architecture of existing Video LLMs might need more temporal resolution to interpolate time information accurately. In particular, LITA achieves a 22% improvement in the Correctness of Information (2.94

AI Researcher 126

AI Researcher AI Research LLM Large Language Models 126

Marktechpost

DECEMBER 18, 2023

Researchers from SAMI, ByteDance Inc., Evaluation employs standard metrics and a music information retrieval descriptor approach, including Frechet Audio Distance (FAD) and Music Information Retrieval Descriptor Distance (MIRDD). All credit for this research goes to the researchers of this project.

Deep Learning 127

Deep Learning AI Researcher AI Research AI 127

Marktechpost

OCTOBER 7, 2023

By optimizing the LM’s use of retrieved information and the retriever’s content relevance, RA-DIT offers a promising solution to enhance LLMs with retrieval capabilities. It optimizes LLMs to use retrieved information better and refines retrievers to provide more relevant results preferred by the LLM.

Artificial Intelligence 141

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 141

Marktechpost

DECEMBER 9, 2023

Alpha-CLIP introduces an alpha channel to preserve contextual information while concentrating on designated areas without modifying content. The Alpha-CLIP method is introduced, featuring an additional alpha channel to focus on specific areas without content alteration, thereby preserving contextual information.

AI Researcher 126

AI Researcher AI Research AI AI 126