Marktechpost

FEBRUARY 3, 2024

In natural language processing, the quest for precision in language models has led to innovative approaches that mitigate the inherent inaccuracies these models may present. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

Large Language Models 141

Large Language Models Natural Language Processing Algorithm Automation 141

Marktechpost

JULY 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating remarkable capabilities in various applications. Transformer architecture has emerged as a major leap in natural language processing, significantly outperforming earlier recurrent neural networks.

Large Language Models 127

Large Language Models Neural Network Natural Language Processing LLM 127

Marktechpost

MAY 4, 2024

It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. Stakeholders in these sectors require transparent models, as automated decisions’ consequences can have significant ethical and practical implications.

Large Language Models 131

Large Language Models Machine Learning Natural Language Processing Artificial Intelligence 131

Marktechpost

JULY 16, 2024

Mainstream Large Language Models (LLMs) lack specialized knowledge in telecommunications, making them unsuitable for specific tasks in this field. This gap poses a significant challenge as the telecom industry requires precise and advanced models for network optimization, protocol development, and complex data analysis.

Large Language Models 141

Large Language Models Natural Language Processing Data Analysis LLM 141

Marktechpost

JULY 13, 2024

Large language models (LLMs) have been crucial for driving artificial intelligence and natural language processing to new heights. To summarize, the study highlights the potential of In-Context Vectors to enhance the efficiency and control of in-context learning in large language models.

Large Language Models 125

Large Language Models Natural Language Processing LLM Artificial Intelligence 125

Marktechpost

MARCH 24, 2024

Recent advancements in multimodal large language models (MLLM) have revolutionized various fields, leveraging the transformative capabilities of large-scale language models like ChatGPT. LLMs have reshaped natural language processing, with models like GLM and LLaMA aiming to rival InstructGPT.

Large Language Models 134

Large Language Models Natural Language Processing Robotics ChatGPT 134

Marktechpost

MARCH 26, 2024

Large language models (LLMs) are at the forefront of technological advancements in natural language processing, marking a significant leap in the ability of machines to understand, interpret, and generate human-like text. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 132

Large Language Models Data Scarcity Natural Language Processing LLM 132

Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules. If you like our work, you will love our newsletter.

Large Language Models 128

Large Language Models NLP Data Scarcity Computational Linguistics 128

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.

Large Language Models 137

Large Language Models LLM Natural Language Processing ML 137

Marktechpost

APRIL 6, 2024

TRIZ is a knowledge-based ideation methodology that provides a structured framework for engineering problem-solving by identifying and overcoming technical contradictions using inventive principles derived from a large-scale patent database. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 135

Large Language Models Automation Natural Language Processing Categorization 135

Marktechpost

MAY 21, 2024

Conventional methods of obfuscation in the literature on Natural Language Processing (NLP) have frequently been restricted to certain environments and have depended on basic, surface-level modifications. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Large Language Models 125

Large Language Models Natural Language Processing NLP Automation 125

AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

Large Language Models 139

Large Language Models LLM Big Data Machine Learning 139

Marktechpost

MARCH 2, 2024

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper. Also, don’t forget to follow us on Twitter and Google News.

Large Language Models 138

Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 138

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.

Large Language Models 128

Large Language Models Categorization LLM Explainability 128

Marktechpost

OCTOBER 10, 2024

LLMs, particularly transformer-based models, have advanced natural language processing, excelling in tasks through self-supervised learning on large datasets. LLMs, which excel at multi-tasking, provide the potential to improve therapeutic development by learning across diverse tasks using a unified approach.

Large Language Models 135

Large Language Models LLM Neural Network Natural Language Processing 135

Marktechpost

OCTOBER 13, 2024

Mixture of Experts (MoE) models are becoming critical in advancing AI, particularly in natural language processing. MoE architectures differ from traditional dense models by selectively activating subsets of specialized expert networks for each input. If you like our work, you will love our newsletter.

Large Language Models 125

Large Language Models AI Researcher AI Research Natural Language Processing 125

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.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

Marktechpost

MAY 28, 2024

Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models excel in text generation, summarization, translation, and question answering. If you like our work, you will love our newsletter.

Large Language Models 128

Large Language Models Prompt Engineer Prompt Engineering LLM 128

Marktechpost

JANUARY 11, 2025

Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. Dont Forget to join our 60k+ ML SubReddit. All credit for this research goes to the researchers of this project.

Large Language Models 94

Large Language Models LLM Natural Language Processing NLP 94

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. MLOps are practices that automate and simplify ML workflows and deployments. MLOps make ML models faster, safer, and more reliable in production.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

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.

Large Language Models 128

Large Language Models Natural Language Processing Computer Vision AI 128

Marktechpost

JULY 2, 2024

The field of research focuses on optimizing algorithms for training large language models (LLMs), which are essential for understanding and generating human language. These models are critical for various applications, including natural language processing and artificial intelligence.

Large Language Models 120

Large Language Models Natural Language Processing Big Data Algorithm 120

Marktechpost

FEBRUARY 9, 2024

In the ever-evolving landscape of natural language processing (NLP), the quest to bridge the gap between machine interpretation and the nuanced complexity of human language continues to present formidable challenges. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

Large Language Models 137

Large Language Models NLP Natural Language Processing ML 137

Marktechpost

SEPTEMBER 22, 2024

In artificial intelligence and natural language processing, long-context reasoning has emerged as a crucial area of research. As the volume of information that needs to be processed grows, machines must be able to synthesize and extract relevant data from massive datasets efficiently.

Large Language Models 123

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 123

Marktechpost

SEPTEMBER 10, 2024

Retrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive amounts of text, is critical in natural language processing, particularly in applications such as question-answering, where maintaining the context of information is crucial for generating accurate responses.

Large Language Models 117

Large Language Models Natural Language Processing AI Researcher AI Research 117

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.

Large Language Models 117

Large Language Models Natural Language Processing LLM Artificial Intelligence 117

Marktechpost

OCTOBER 2, 2024

Large Language Models (LLMs) have made significant strides in various Natural Language Processing tasks, yet they still struggle with mathematics and complex logical reasoning. However, LLMs often exhibit unfaithful reasoning, where conclusions don’t align with the generated reasoning chain.

Large Language Models 109

Large Language Models Natural Language Processing LLM Python 109

IBM Journey to AI blog

NOVEMBER 13, 2023

AI and machine learning Building and deploying artificial intelligence (AI) and machine learning (ML) systems requires huge volumes of data and complex processes like high performance computing and big data analysis. And Kubernetes can scale ML workloads up or down to meet user demands, adjust resource usage and control costs.

DevOps 323

DevOps Software Development Automation Machine Learning 323

AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

Large Language Models 132

Large Language Models BERT NLP Data Scientist 132

Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). 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 Natural Language Processing Inference Engine LLM 112

Marktechpost

JUNE 23, 2024

Existing work includes isolated computer vision techniques for image classification and natural language processing for textual data analysis. Current models like Idefics-2 and Phi-3-Vision can process images and text but need help integrating them effectively. Join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 123

Large Language Models Computer Vision Natural Language Processing Data Analysis 123

Marktechpost

OCTOBER 10, 2024

Artificial intelligence has made remarkable strides with the development of Large Language Models (LLMs), significantly impacting various domains, including natural language processing, reasoning, and even coding tasks. If you like our work, you will love our newsletter.

Large Language Models 117

Large Language Models Machine Learning Automation LLM 117

Marktechpost

OCTOBER 6, 2024

Natural language processing (NLP) has experienced rapid advancements, with large language models (LLMs) being used to tackle various challenging problems. Among the diverse applications of LLMs, mathematical problem-solving has emerged as a benchmark to assess their reasoning abilities. Let’s collaborate!

Large Language Models 108

Large Language Models Natural Language Processing NLP AI 108

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

Unite.AI

JULY 11, 2023

What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. You’ll also learn about the Generative AI model types: unimodal or multimodal, in this course. In this course, you will discover diffusion models , their working, and implementation.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data. It can analyze text in multiple languages, detect entities, extract key phrases, determine sentiment, and more.

ML 166

ML Metadata Data Extraction AI 166

Unite.AI

JULY 5, 2023

Their latest large language model (LLM) MPT-30B is making waves across the AI community. Most importantly, the model was at par and, in some cases, outperformed the other comparable models ( LLaMA-7B , StableLM 7B , etc). MosaicML is a generative AI company that provides AI deployment and scalability solutions.

LLM 264

LLM NLP Large Language Models Generative AI 264