Marktechpost

MAY 27, 2024

Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models to handle complex tasks such as visual question answering & image captioning. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 131

Large Language Models Categorization Artificial Intelligence Artificial Intelligence 131

Marktechpost

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material. 1% across all datasets after filtering.

Large Language Models 128

Large Language Models Categorization LLM Explainability 128

Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Provide a thorough investigation of the potential of graph structures to address the limitations of LLMs.

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Large Language Models Machine Learning Neural Network Deep Learning 136

Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. vector embedding Recent advances in large language models (LLMs) like GPT-3 have shown impressive capabilities in few-shot learning and natural language generation.

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Large Language Models Prompt Engineer Prompt Engineering BERT 144

Marktechpost

JUNE 15, 2024

Large Language Models (LLMs) have taken over the Artificial Intelligence (AI) community in recent times. In a Reddit post, a user recently brought attention to the startling quantity of over 700,000 large language models on Hugging Face, which sparked an argument about their usefulness and potential.

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Large Language Models Artificial Intelligence Artificial Intelligence Categorization 131

Marktechpost

JULY 2, 2024

Large Language Models (LLMs) have shown impressive performance in a range of tasks in recent years, especially classification tasks. These models demonstrate amazing performance when given gold labels or options that include the right answer. High-performance metrics indicate that classification tasks are easy.

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Large Language Models Categorization LLM ML 112

Marktechpost

MARCH 24, 2024

This method’s core is using a large language model (LLM), which, due to its state-of-the-art text comprehension capabilities, can integrate diverse types of data to improve the accuracy of detecting device-directed speech. If you like our work, you will love our newsletter.

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Large Language Models LLM Categorization AI 138

Unite.AI

SEPTEMBER 10, 2024

The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). The resulting family of MLLMs, Eagle, surpasses other leading open-source models on major MLLM benchmarks. Several recent MLLMs achieve this by utilizing a mixture of vision encoders.

Large Language Models 130

Large Language Models Categorization LLM Artificial Intelligence 130

Unite.AI

JANUARY 17, 2024

Due to their exceptional content creation capabilities, Generative Large Language Models are now at the forefront of the AI revolution, with ongoing efforts to enhance their generative abilities. However, despite rapid advancements, these models require substantial computational power and resources. Let's begin.

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Large Language Models Inference Engine LLM Natural Language Processing 130

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

Large Language Models AI Researcher AI Research Categorization 135

Marktechpost

DECEMBER 8, 2023

INSTRUCTOR is used to categorize OSS-INSTRUCT-generated data based on embedding similarity. Magicoder demonstrates competitive performance with top code models with a modest parameter size of no more than 7 billion. Evaluation employs benchmarks like HumanEval and MBPP, focusing on the pass1 metric.

Large Language Models 138

Large Language Models Data Science Categorization Python 138

Marktechpost

JANUARY 20, 2024

The Natural Language Generation (NLG) field stands at the intersection of linguistics and artificial intelligence. Recent advancements in Large Language Models (LLMs) have revolutionized NLG, significantly enhancing the ability of systems to generate coherent and contextually relevant text.

Large Language Models 131

Large Language Models LLM Categorization Artificial Intelligence 131

Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language. If you like our work, you will love our newsletter.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

Marktechpost

JANUARY 17, 2024

In large language models (LLMs), the challenge of keeping information up-to-date is significant. As knowledge evolves, these models must adapt to include the latest information. An alternative approach, model editing, offers a way to update the knowledge within these models more efficiently.

Large Language Models 128

Large Language Models Categorization AI AI 128

Marktechpost

SEPTEMBER 20, 2024

Previous research on reasoning frameworks in large language models (LLMs) has explored various approaches to enhance problem-solving capabilities. The DoT framework enhances reasoning capabilities in large language models by modeling iterative reasoning as a directed acyclic graph within a single LLM.

Large Language Models 128

Large Language Models LLM Categorization Artificial Intelligence 128

Marktechpost

MAY 11, 2024

Despite their expansive capacities, traditional large language models (LLMs) often fail to comprehend and execute the nuanced directives required for precise IE. These challenges primarily manifest in closed IE tasks, where a model must adhere to stringent, pre-defined schemas.

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Large Language Models Prompt Engineer Prompt Engineering Categorization 109

Marktechpost

MARCH 8, 2025

Their results suggest that current brain alignment benchmarks remain unsaturated, emphasizing opportunities to refine LLMs for improved alignment with human language processing. The analysis follows a functional localization approach, identifying language-selective neural units.

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Large Language Models Neural Network Categorization Machine Learning 51

Marktechpost

JUNE 19, 2024

These models also offer limited control over the specificity and formatting of topics, hindering their practical application in content analysis and other fields requiring clear thematic categorization. Despite their utility, these models often fail to produce high-quality and easily interpretable topics.

Large Language Models 104

Large Language Models Categorization LLM AI 104

Marktechpost

MARCH 10, 2024

Developing and refining Large Language Models (LLMs) has become a focal point of cutting-edge research in the rapidly evolving field of artificial intelligence, particularly in natural language processing. A significant innovation in this domain is creating a specialized tool to refine the dataset compilation process.

Large Language Models 113

Large Language Models Natural Language Processing LLM Categorization 113

Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. rely on Language Models as their foundation.

Large Language Models 104

Large Language Models BERT Natural Language Processing Categorization 104

Marktechpost

NOVEMBER 25, 2023

Large language models have recently brought about a paradigm change in natural language processing, leading to previously unheard-of advancements in language creation, comprehension, and reasoning. To improve fidelity, they place a strong emphasis on resolving inconsistency from the viewpoint of the user.

Large Language Models 128

Large Language Models AI Researcher AI Research Natural Language Processing 128

Marktechpost

APRIL 6, 2024

AutoTRIZ emphasizes controlling the problem-solving process while drawing problem-related knowledge from the pre-trained large-scale corpora used to train the LLM. AutoTRIZ’s detection results were compared with human experts’ analyses from textbooks categorized into complete match, half match, and no match scenarios.

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Large Language Models Automation Natural Language Processing Categorization 135

Marktechpost

JANUARY 11, 2024

In 2023, the field of artificial intelligence witnessed significant advancements, particularly in the field of large language models. We have categorized them to make it easier to cover maximum tools. Mistral 7B : It is a powerful language model, boasting 7.3

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 104

Marktechpost

OCTOBER 6, 2024

Training Large Language Models (LLMs) that can handle long-context processing is still a difficult task because of data sparsity constraints, implementation complexity, and training efficiency. Let’s collaborate!

Large Language Models 112

Large Language Models LLM Categorization Automation 112

Marktechpost

NOVEMBER 5, 2023

The team hope to expand their current set of high-quality annotations soon to include things like contamination annotations compared to widely-used LLM benchmarks, topic modelling and categorization annotations for each document, and any additional annotations that spark interest in the community. We are also on Telegram and WhatsApp.

Large Language Models 128

Large Language Models LLM Categorization Machine Learning 128

IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

ESG 238

ESG Categorization Large Language Models NLP 238

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. Existing benchmarks frequently use simple objective metrics like word overlap to gauge how well the content produced by the machine is categorizing information.

Large Language Models 128

Large Language Models LLM Natural Language Processing Categorization 128

Marktechpost

MAY 14, 2024

Research in computational linguistics continues to explore how large language models (LLMs) can be adapted to integrate new knowledge without compromising the integrity of existing information. This structured approach provides a clear view of the impact of fine-tuning with both familiar and novel data on model accuracy.

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Categorization Computational Linguistics Large Language Models Machine Learning 104

AssemblyAI

SEPTEMBER 29, 2023

It would take weeks to filter and categorize all of the information to identify common issues or patterns. By using Audio Intelligence, LLMs and frameworks, companies can build on top of ASR to create tools that categorize content, increase searchability, aid in podcast or video editing, and intelligently synthesize this information.

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Categorization Auto-complete AI Modeling Large Language Models 264

Unite.AI

NOVEMBER 20, 2024

The growth of autonomous agents by foundation models (FMs) like Large Language Models (LLMs) has reform how we solve complex, multi-step problems. The authors categorize traceable artifacts, propose key features for observability platforms, and address challenges like decision complexity and regulatory compliance.

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LLM AI AI DevOps 176

Marktechpost

MARCH 19, 2024

Large language models (LLMs) have taken center stage in artificial intelligence, fueling advancements in many applications, from enhancing conversational AI to powering complex analytical tasks. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Large Language Models 98

Large Language Models Artificial Intelligence Artificial Intelligence Categorization 98

Unite.AI

SEPTEMBER 20, 2023

These are deep learning models used in NLP. This discovery fueled the development of large language models like ChatGPT. Large language models or LLMs are AI systems that use transformers to understand and create human-like text.

LLM 341

LLM BERT NLP Python 341

NYU Center for Data Science

OCTOBER 18, 2023

The Logic of Transformers: William Merrill’s Step Towards Understanding Large Language Models’ Limits and Hallucinations The advent of large language models (LLMs) based on transformer architecture, which drives products like ChatGPT, has revolutionized machine learning.

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Large Language Models Categorization ChatGPT LLM 97

Unite.AI

JANUARY 19, 2024

Large language models (LLMs) like GPT-4, PaLM, and Llama have unlocked remarkable advances in natural language generation capabilities. Taxonomy of Hallucination Mitigation Techniques Researchers have introduced diverse techniques to combat hallucinations in LLMs, which can be categorized into: 1.

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Large Language Models LLM Prompt Engineer Prompt Engineering 111

Marktechpost

OCTOBER 5, 2024

Google Researchers combined AR developments in spatial understanding via SLAM with object detection and segmentation integrated with Multimodal Large Language Model (MLLM) XR Object offers an object-centric interaction in contradistinction to the application-centric approach of Google Lens.

Large Language Models 109

Large Language Models Computer Vision Chatbots Categorization 109

Marktechpost

SEPTEMBER 28, 2023

Auditing Large Language Models (LLMs) has become a paramount concern as these models are increasingly integrated into various applications. This functionality empowers auditors to categorize and group tests based on common themes or model behavior patterns. If you like our work, you will love our newsletter.

Large Language Models 98

Large Language Models LLM Categorization AI 98

AI Weekly

OCTOBER 12, 2023

The US has relied on industry experts, while the EU and Brazil aim to set up a categorical system. forbes.com Not All Algorithms Are AI (Part 2): The Rise Of Real AI ChatGPT And Large Language Models: Now And Beyond Large language models (LLMs) and generative AI are deep learning on steroids.

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Robotics Large Language Models Deep Learning Artificial Intelligence 264