Unite.AI

OCTOBER 27, 2024

The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications. Key Features: Hardware-accelerated ML operations using WebGL and Node.js environments.

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Unite.AI

FEBRUARY 23, 2024

However, instruction-based methods often provide brief directions that may be challenging for existing models to fully capture and execute. Additionally, diffusion models, known for their ability to create realistic images, are in high demand within the image editing sector.

Large Language Models 147

Large Language Models Natural Language Processing LLM Algorithm 147

Marktechpost

MAY 27, 2024

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. These tasks challenge models to effectively access, retrieve, and utilize external knowledge sources, producing accurate and relevant outputs.

Natural Language Processing 125

Natural Language Processing NLP BERT AI Researcher 125

Marktechpost

NOVEMBER 30, 2024

Generative AI systems transform how humans interact with technology, offering groundbreaking natural language processing and content generation capabilities. One persistent challenge in deploying safety moderation models is their size and computational requirements. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 97

Large Language Models Natural Language Processing AI AI 97

Marktechpost

JULY 7, 2024

Natural language processing (NLP) drives researchers to develop algorithms that enable computers to understand, interpret, and generate human languages. The problem concerns the inefficiencies and limitations of tokenizers used in large language models (LLMs).

Large Language Models 133

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 133

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.

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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

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

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

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 Research AI Researcher Natural Language Processing 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 135

Large Language Models LLM Big Data Machine Learning 135

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

MARCH 19, 2024

Large language models (LLMs) have revolutionized how computers understand and generate human language in machine learning and natural language processing. BurstAttention is a significant advancement in processing long sequences in large language models; it’s a game-changer for NLP.

Large Language Models 131

Large Language Models Machine Learning NLP Natural Language Processing 131

Marktechpost

DECEMBER 19, 2024

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. Training state-of-the-art models like GPT and Llama requires enormous computational resources and intricate engineering. For instance, Llama-3.1-405B

LLM 109

LLM Natural Language Processing Large Language Models AI Research 109

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

AWS Machine Learning Blog

MARCH 17, 2025

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on.

LLM 104

LLM Natural Language Processing ML Computer Vision 104

Marktechpost

DECEMBER 23, 2023

Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation. All credit for this research goes to the researchers of this project.

Large Language Models 139

Large Language Models Machine Learning LLM Natural Language Processing 139

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

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.

NLP 102

NLP Natural Language Processing Large Language Models LLM 102

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 Research AI Researcher 117

Unite.AI

JANUARY 18, 2025

Why NPUs Matter for Generative AI The explosive rise of generative AIwhich includes large language models (LLMs) like ChatGPT, image-generation tools like DALLE, and video synthesis modelsdemands computational platforms that can handle massive amounts of data, process it in real-time, and learn from it efficiently.

Generative AI 147

Generative AI Neural Network Robotics Natural Language Processing 147

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.

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Large Language Models Natural Language Processing LLM Python 109