AI News

SEPTEMBER 27, 2024

One of Databricks’ notable achievements is the DBRX model, which set a new standard for open large language models (LLMs). “Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. .”

Large Language Models 312

Large Language Models Big Data Explainability ETL 312

Marktechpost

JULY 28, 2024

Large Language Models (LLMs) are a subset of artificial intelligence focusing on understanding and generating human language. These models leverage complex architectures to comprehend and produce human-like text, facilitating applications in customer service, content creation, and beyond.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 126

Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. Fine-tuning techniques enhance Large Language Models’ performance for specific tasks. If you like our work, you will love our newsletter.

Large Language Models 126

Large Language Models Neural Network Natural Language Processing LLM 126

Marktechpost

SEPTEMBER 17, 2024

Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks.

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Large Language Models LLM Natural Language Processing ML 137

Marktechpost

AUGUST 7, 2024

Proposed frameworks for RAG-based large language models (LLMs) omitted crucial training components. Novel approaches, such as treating LLM prompting as a programming language, emerged but introduced complexity. Evaluation methodologies using synthetic data and LLM critics were developed to assess RAG performance.

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Large Language Models Python LLM ML 129

Marktechpost

AUGUST 7, 2024

Introducing Lagent, a new open-source framework that simplifies the process of building large language model (LLM)-based agents. Lagent stands out by offering a lightweight and flexible solution that supports various models and provides tools to enhance the capabilities of LLMs.

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Large Language Models LLM Python OpenAI 121

Marktechpost

NOVEMBER 6, 2024

Until recently, existing large language models (LLMs) have lacked the precision, reliability, and domain-specific knowledge required to effectively support defense and security operations. By leveraging sophisticated models fine-tuned for defense-related applications, this collaboration is poised to provide the U.S.

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LLM Large Language Models Artificial Intelligence Artificial Intelligence 93

Marktechpost

JANUARY 12, 2025

Large language models ( LLMs ) like GPT-4, PaLM, Bard, and Copilot have made a huge impact in natural language processing (NLP). These models require vast computational resources, making them expensive to train and deploy. Dont Forget to join our 65k+ ML SubReddit.

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NLP Natural Language Processing Large Language Models LLM 101

Marktechpost

SEPTEMBER 21, 2024

This innovative approach combines traditional symbolic regression with large language models (LLMs) to introduce a new layer of efficiency and accuracy. A key finding of the LASR method was its ability to discover novel scaling laws for large language models, a crucial aspect in improving LLM performance.

Large Language Models 119

Large Language Models Machine Learning LLM Explainability 119

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

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Large Language Models Categorization LLM Explainability 127

Marktechpost

JULY 27, 2024

Agent-based modeling (ABM) emerged to overcome these limitations, progressing from rule-based to machine learning-based agents. The advent of Large Language Models (LLMs) has enabled the creation of autonomous agents for social simulations. If you like our work, you will love our newsletter.

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Large Language Models Artificial Intelligence Artificial Intelligence LLM 131

Marktechpost

JULY 29, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing fields that have significantly impacted various industries. This innovative framework leverages large language models (LLMs) to generate plans and guide agents through complex tasks. If you like our work, you will love our newsletter.

Large Language Models 126

Large Language Models LLM Artificial Intelligence Artificial Intelligence 126

Marktechpost

OCTOBER 27, 2024

Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

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Large Language Models LLM Inference Engine ML 115

Marktechpost

OCTOBER 25, 2024

Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations. It’s the latest addition to Zhipu’s extensive multi-modal large model family, which includes models capable of image understanding, video generation, and more.

Large Language Models 124

Large Language Models Inference Engine Artificial Intelligence Artificial Intelligence 124

Marktechpost

SEPTEMBER 23, 2024

Large language models (LLMs) have become a pivotal part of artificial intelligence, enabling systems to understand, generate, and respond to human language. These models are used across various domains, including natural language reasoning, code generation, and problem-solving.

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Large Language Models Data Quality Algorithm Artificial Intelligence 116

Marktechpost

SEPTEMBER 20, 2024

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. The NVLM-H model, in particular, strikes a balance between image processing efficiency and multimodal reasoning accuracy, making it one of the most promising models in this field.

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Large Language Models Natural Language Processing Computer Vision AI 127

Marktechpost

AUGUST 12, 2024

VulScribeR employs large language models (LLMs) to generate diverse and realistic vulnerable code samples through three strategies: Mutation, Injection, and Extension. Researchers from the University of Manitoba and Washington State University introduced a novel approach called VulScribeR, designed to address these challenges.

Large Language Models 108

Large Language Models Data Scarcity Software Engineer LLM 108

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.

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Large Language Models LLM Categorization Artificial Intelligence 127

Marktechpost

OCTOBER 26, 2024

Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 112

Large Language Models LLM Inference Engine Algorithm 112

Marktechpost

OCTOBER 21, 2024

Accelerating inference in large language models (LLMs) is challenging due to their high computational and memory requirements, leading to significant financial and energy costs. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 112

Large Language Models Inference Engine AI AI 112

Marktechpost

JULY 23, 2024

Large Language Models (LLMs) excel in various tasks, including text generation, translation, and summarization. However, a growing challenge within NLP is how these models can effectively interact with external tools to perform tasks beyond their inherent capabilities. If you like our work, you will love our newsletter.

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Large Language Models LLM ChatGPT NLP 111

Marktechpost

OCTOBER 19, 2024

Recent advancements in large language models (LLMs) have significantly enhanced their ability to handle long contexts, making them highly effective in various tasks, from answering questions to complex reasoning. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 102

Large Language Models Inference Engine ML AI 102

Marktechpost

SEPTEMBER 22, 2024

The ability to reason over these long contexts is essential for functions like document summarization, code generation, and large-scale data analysis, all of which are central to advancements in AI. A key challenge researchers face is the need for more effective tools to evaluate long-context understanding in large language models.

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Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 121

Marktechpost

OCTOBER 22, 2024

Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 107

Large Language Models Data Scarcity Inference Engine LLM 107

Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have revolutionized how machines process and generate human language, but their ability to reason effectively across diverse tasks remains a significant challenge. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

Large Language Models 112

Large Language Models Inference Engine AI AI 112

Marktechpost

AUGUST 2, 2024

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

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Large Language Models Prompt Engineering Prompt Engineer LLM 112

Marktechpost

OCTOBER 27, 2024

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.

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Large Language Models Metadata Inference Engine Automation 100

Marktechpost

AUGUST 31, 2024

The deployment and optimization of large language models (LLMs) have become critical for various applications. Overview of GuideLLM GuideLLM is a comprehensive solution that helps users gauge the performance, resource needs, and cost implications of deploying large language models on various hardware configurations.

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Large Language Models LLM Python OpenAI 119

Marktechpost

SEPTEMBER 20, 2024

Researchers from ByteDance have introduced an innovative model known as the Hierarchical Large Language Model (HLLM) to improve recommendation accuracy and efficiency. The HLLM architecture is designed to enhance sequential recommendation systems by utilizing the powerful capabilities of large language models (LLMs).

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Large Language Models LLM Algorithm ML 133

Marktechpost

AUGUST 9, 2024

Don’t Forget to join our 48k+ ML SubReddit Find Upcoming AI Webinars here Arcee AI Released DistillKit: An Open Source, Easy-to-Use Tool Transforming Model Distillation for Creating Efficient, High-Performance Small Language Models The post Balancing Act: The Impact of Format Restrictions on Reasoning in Large Language Models appeared first on MarkTechPost. (..)

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Large Language Models Data Analysis LLM Deep Learning 111

Marktechpost

SEPTEMBER 23, 2024

Large language models (LLMs) have gained significant attention due to their potential to enhance various artificial intelligence applications, particularly in natural language processing. In conclusion, this research addresses a critical issue in deploying large language models in real-world applications.

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Large Language Models Natural Language Processing LLM Artificial Intelligence 115

Marktechpost

AUGUST 15, 2024

VideoLLaMA 2 retains the dual-branch architecture of its predecessor, with separate Vision-Language and Audio-Language branches that connect pre-trained visual and audio encoders to a large language model.

Large Language Models 116

Large Language Models LLM Data Integration ML 116

Marktechpost

OCTOBER 22, 2024

In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length.

Large Language Models 112

Large Language Models Neural Network Inference Engine AI 112

Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Don’t Forget to join our 50k+ ML SubReddit. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems.

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Large Language Models Inference Engine Automation Data Scientist 108

Marktechpost

AUGUST 12, 2024

The advent of Large Language Models (LLMs) offers a potential solution to this enduring problem. Don’t Forget to join our 48k+ ML SubReddit Find Upcoming AI Webinars here Thanks to FPT Software AI Center for the thought leadership/ Resources for this article.

Large Language Models 112

Large Language Models LLM Software Engineer Software Development 112

Marktechpost

SEPTEMBER 12, 2024

This framework consists of four distinct modules: Document Distiller : Reforms raw documents into semantic blocks using large language models (LLMs) guided by a flexible, user-defined schema. Incremental Entity Extractor : Extracts unique entities from the semantic blocks, ensuring no duplications or semantic ambiguities.

Large Language Models 126

Large Language Models Data Analysis AI AI 126

Marktechpost

SEPTEMBER 17, 2024

Generative Large Language Models (LLMs) are capable of in-context learning (ICL), which is the process of learning from examples given within a prompt. However, research on the precise principles underlying these models’ ICL performance is still underway. If you like our work, you will love our newsletter.

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Large Language Models Prompt Engineering Prompt Engineer LLM 108