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 Engineering Prompt Engineer BERT 144

Unite.AI

MAY 15, 2024

This is doubly true for complex AI systems, such as large language models, that process extensive datasets for tasks like language processing, image recognition, and predictive analysis. Only then can we raise the potential of AI and large language model projects to breathtaking new heights.

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Large Language Models Generative AI Data Quality AI Architect 144

Marktechpost

MAY 7, 2024

The burgeoning expansion of the data landscape, propelled by the Internet of Things (IoT), presents a pressing challenge: ensuring data quality amidst the deluge of information. However, the quality of that data is paramount, especially given the escalating reliance on Machine Learning (ML) across various industries.

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Large Language Models Automation Data Quality ML 132

Unite.AI

NOVEMBER 13, 2024

These trends will elevate the role of data observability in ensuring that organizations can scale their AI initiatives while maintaining high standards for data quality and governance. As organizations increasingly rely on AI to drive business decisions, the need for trustworthy, high-quality data becomes even more critical.

Machine Learning 144

Machine Learning Large Language Models Data Quality Automation 144

AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

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Large Language Models BERT Auto-complete LLM 130

NVIDIA

JUNE 14, 2024

NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry.

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Large Language Models LLM Data Quality Generative AI 145

Marktechpost

MARCH 14, 2024

Advancements in large language models (LLMs) have been witnessed across various domains, such as translation, healthcare, and code generation. These models have shown exceptional capabilities in understanding and generating human-like text. Europe, and Australia. If you like our work, you will love our newsletter.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 124

Marktechpost

MAY 10, 2024

Multimodal large language models (MLLMs) represent a cutting-edge intersection of language processing and computer vision, tasked with understanding and generating responses that consider both text and imagery. Quantitative improvements in several key performance metrics underscore the efficacy of studied models.

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Large Language Models Computer Vision Data Quality ML 117

Unite.AI

JANUARY 1, 2025

These results highlight the impact of training data that didnt include enough diversity in skin tones. For example, large language models (LLMs) such as OpenAIs GPT and Googles Bard are trained on datasets that heavily rely on English-language content predominantly sourced from Western contexts.

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AI AI Algorithm Large Language Models 176

Flipboard

JULY 4, 2023

Large Language Models have shown immense growth and advancements in recent times. The field of Artificial Intelligence is booming with every new release of these models. This is because vector embeddings are the only sort of data that a vector database is intended to store and retrieve.

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Large Language Models Machine Learning Natural Language Processing BERT 139

SAS Software

MARCH 14, 2024

Data quality is a cornerstone for integrating large language models (LLMs) into organizations. High-quality data is the lifeblood that ensures the accuracy, relevance, and reliability of the model's outputs. The adage "garbage in, garbage out" holds particularly true here.

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Large Language Models Data Quality Generative AI AI 65

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 115

Marktechpost

APRIL 1, 2024

With the incorporation of large language models (LLMs) in almost all fields of technology, processing large datasets for language models poses challenges in terms of scalability and efficiency. If you like our work, you will love our newsletter.

Large Language Models 110

Large Language Models ETL Data Ingestion Data Quality 110

Unite.AI

MARCH 10, 2025

However, one thing is becoming increasingly clear: advanced models like DeepSeek are accelerating AI adoption across industries, unlocking previously unapproachable use cases by reducing cost barriers and improving Return on Investment (ROI). Even the most advanced models will generate suboptimal outputs without properly contextualized input.

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AI Modeling Generative AI AI Strategy Data Quality 129

Marktechpost

JUNE 27, 2023

In this paper, they investigate how the data quality might be improved along a different axis. Higher quality data produces better results; for instance, data cleaning is a crucial step in creating current datasets and can result in relatively smaller datasets or the ability to run the data through more iterations.

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Large Language Models Python Neural Network Data Quality 122

AI News

NOVEMBER 21, 2023

Addressing this gap will require a multi-faceted approach including grappling with issues related to data quality and ensuring that AI systems are built on reliable, unbiased, and representative datasets. Companies have struggled with data quality and data hygiene.

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Big Data Data Quality Generative AI Explainability 342

Unite.AI

FEBRUARY 7, 2024

MLOps make ML models faster, safer, and more reliable in production. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). They also need a lot of data to learn from, which can raise data quality, privacy, and ethics issues.

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Machine Learning Large Language Models LLM BERT 288

Marktechpost

MAY 14, 2024

Large language models (LLMs) are central to processing vast amounts of data quickly and accurately. They depend critically on the quality of instruction tuning to enhance their reasoning capabilities. Securing high-quality, scalable instruction data remains a principal challenge in the domain.

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Large Language Models LLM Data Quality Algorithm 107

Marktechpost

JULY 11, 2024

Large language models (LLMs) have been instrumental in various applications, such as chatbots, content creation, and data analysis, due to their capability to process vast amounts of textual data efficiently. In conclusion, AgentInstruct represents a breakthrough in generating synthetic data for AI training.

Data Quality 111

Data Quality Large Language Models AI Modeling Automation 111

Marktechpost

NOVEMBER 5, 2023

More crucially, they include 40+ quality annotations — the result of multiple ML classifiers on data quality, minhash results that may be used for fuzzy deduplication, or heuristics. They assert its coverage of CommonCrawl (84 processed dumps) is unparalleled. If you like our work, you will love our newsletter.

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Large Language Models LLM Categorization Machine Learning 126

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 recent survey by researchers from South China University of Technology, INTSIG Information Co.,

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Large Language Models Natural Language Processing Categorization LLM 111

Marktechpost

JUNE 17, 2024

This involves various tasks such as image recognition, object detection, and visual search, where the goal is to develop models that can process and analyze visual data effectively. These models are trained on large datasets, often containing noisy labels and diverse data quality.

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Large Language Models Computer Vision Data Quality Responsible AI 107

Marktechpost

OCTOBER 16, 2024

These models are governed by scaling laws, suggesting that increasing model size and the amount of training data enhances performance. However, this improvement depends on the data quality used, particularly when synthetic data is included in the training process.

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Large Language Models Neural Network Machine Learning Inference Engine 106

Marktechpost

JUNE 15, 2024

NVIDIA has recently unveiled the Nemotron-4 340B , a groundbreaking family of models designed to generate synthetic data for training large language models (LLMs) across various commercial applications.

Large Language Models 111

Large Language Models LLM Data Quality AI 111

AI News

MAY 3, 2024

“Managing dynamic data quality, testing and detecting for bias and inaccuracies, ensuring high standards of data privacy, and ethical use of AI systems all require human oversight,” he said.

Big Data 326

Big Data Generative AI Explainability AI 326

Unite.AI

JANUARY 19, 2024

Large language models (LLMs) like GPT-4, PaLM, and Llama have unlocked remarkable advances in natural language generation capabilities. Heavily depend on training data quality and external knowledge sources. Difficulty in rigorous evaluation beyond limited domains. Metrics do not capture all nuances.

Large Language Models 111

Large Language Models LLM Prompt Engineering Prompt Engineer 111

Analytics Vidhya

JANUARY 2, 2024

Microsoft researchers have pioneered a groundbreaking approach in the realm of code language models, introducing CodeOcean and WaveCoder to redefine instruction tuning.

AI Chatbots 305

AI Chatbots Data Quality Chatbots Large Language Models 305

Unite.AI

FEBRUARY 10, 2024

According to Microsoft research, around 88% of the world's languages , spoken by 1.2 billion people, lack access to Large Language Models (LLMs). This is because most LLMs are English-centered, i.e., they are mostly built with English data and for English speakers. Let's explore a few of them: 1.

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LLM Large Language Models Data Quality ML 313

Unite.AI

NOVEMBER 11, 2024

DAOs also capture detailed descriptions of ID documents, ensuring accurate data validation and security checks at scale. Leveraging large language models and multimodal models in conjunction with our DAO database, we can effectively generalize at scale while maintaining the necessary specificity for individual ID documents.

Machine Learning 157

Machine Learning AI AI Natural Language Processing 157

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). The idea behind ensembling is that by combining the outputs of multiple models, the final prediction can be more accurate and reliable than the prediction made by a single model.

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Large Language Models Machine Learning LLM Natural Language Processing 78

Unite.AI

APRIL 26, 2024

The advancements in large language models have significantly accelerated the development of natural language processing , or NLP. More recent frameworks like LLaMA and BLIP leverage tailored instruction data to devise efficient strategies that demonstrate the potent capabilities of the model.

Large Language Models 157

Large Language Models Natural Language Processing Convolutional Neural Networks Neural Network 157

Towards AI

OCTOBER 31, 2024

Key Insights and Best Practices on Instruction Tuning By Florian June This article provides insights and best practices for instruction tuning in large language models (LLMs). It covers key considerations like balancing data quality versus quantity, ensuring data diversity, and selecting the right tuning method.

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LLM NLP BERT Large Language Models 116

Marktechpost

APRIL 3, 2025

Multimodal Large Language Models (MLLMs) have advanced the integration of visual and textual modalities, enabling progress in tasks such as image captioning, visual question answering, and document interpretation. However, the replication and further development of these models are often hindered by a lack of transparency.

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Large Language Models Data Quality LLM ML 52

Unite.AI

DECEMBER 20, 2024

As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs).

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Generative AI AI Modeling AI AI 130

AWS Machine Learning Blog

NOVEMBER 26, 2024

This data makes sure models are being trained smoothly and reliably. If failures increase, it may signal issues with data quality, model configurations, or resource limitations that need to be addressed. Execution status – You can monitor the progress of training jobs, including completed tasks and failed runs.

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ML LLM Large Language Models Deep Learning 98

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

IBM Journey to AI blog

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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Data Ingestion Data Integration Data Quality LLM 222