Marktechpost

JULY 22, 2024

However, acquiring such datasets presents significant challenges, including data scarcity, privacy concerns, and high data collection and annotation costs. Artificial (synthetic) data has emerged as a promising solution to these challenges, offering a way to generate data that mimics real-world patterns and characteristics.

AI Research 119

AI Research AI Researcher Data Scarcity Prompt Engineer 119

Marktechpost

AUGUST 12, 2024

If left unchecked, vulnerabilities can lead to significant security breaches, compromising the integrity of software and the data it handles. Over the years, the development of automated tools to detect these vulnerabilities has become increasingly important, particularly as software systems grow more complex and interconnected.

Large Language Models 107

Large Language Models Data Scarcity Software Engineer LLM 107

Marktechpost

DECEMBER 30, 2023

This innovative technology combines creativity and computation and has numerous potential applications, including film production, virtual reality, and automated content generation. A fascinating field of study in artificial intelligence and computer vision is the creation of videos based on written descriptions.

Data Scarcity 116

Data Scarcity Computer Vision Artificial Intelligence Artificial Intelligence 116

Marktechpost

JUNE 19, 2024

Modern bioprocess development, driven by advanced analytical techniques, digitalization, and automation, generates extensive experimental data valuable for process optimization—ML methods to analyze these large datasets, enabling efficient exploration of design spaces in bioprocessing.

Machine Learning 105

Machine Learning Neural Network Data Scarcity ML 105

Marktechpost

MAY 8, 2024

From basic driver assistance to fully autonomous vehicles(AVs) capable of navigating without human intervention, the progression is evident through the SAE Levels of vehicle automation. Despite most scenarios being solvable with traditional methods, unresolved corner cases highlight the necessity for AI-driven solutions.

Deep Learning 120

Deep Learning Neural Network Data Scarcity Natural Language Processing 120

Marktechpost

AUGUST 2, 2024

This technology is vital for virtual assistants, automated transcription services, and language translation applications. Speech recognition is a rapidly evolving field that enables machines to understand and transcribe human speech across various languages.

Data Scarcity 107

Data Scarcity AI Modeling AI AI 107

Unite.AI

SEPTEMBER 12, 2024

Data scarcity is another significant issue. Gathering large volumes of labeled data in many fields is complicated, time-consuming, and costly. For data cleaning and preprocessing, tools like OpenRefine and Pandas in Python are commonly used to manage large datasets, fix errors, and standardize data formats.

Data Quality 157

Data Quality Data Scarcity AI AI 157

Marktechpost

AUGUST 5, 2024

They use a three-stage training methodology—pretraining, ongoing training, and fine-tuning—to tackle the data scarcity of the SiST job. The team trains their model continuously using billions of tokens of low-quality synthetic speech translation data to further their goal of achieving modal alignment between voice and text.

Data Scarcity 114

Data Scarcity LLM Natural Language Processing NLP 114

Marktechpost

DECEMBER 15, 2024

Researchers from Shanghai AI Laboratory, UNC Chapel Hill, Adobe Research, and Nanjing University proposed the Self-Refining Data Flywheel (SRDF), a system designed to iteratively improve both the dataset and the models through mutual collaboration between an instruction generator and a navigator.

Data Scarcity 79

Data Scarcity Data Quality Automation AI 79

NYU Center for Data Science

FEBRUARY 22, 2024

Is this something that could be automated? Trinh identified two critical factors that made geometry an ideal domain for AI exploration: the potential for exhaustive deduction within geometry problems and the relative ease of generating interesting synthetic data for AI training from random exploration.

Data Scarcity 98

Data Scarcity Artificial Intelligence Artificial Intelligence Data Science 98

LevelAI

APRIL 1, 2024

Trend #1: Generative AI will provide greater automation and better business outcomes One of the most prominent trends in the future of call centers is the greater role generative AI is playing when it comes to automating and streamlining operations. This trend is set to revolutionize contact center operations in myriad ways.

Data Scarcity 52

Data Scarcity Generative AI Automation AI Tools 52

Bitext

OCTOBER 6, 2022

Recognize a user´s intent in any chatbot platform: Dialogflow, MS-LUIS, RASA… Enjoy 90% accuracy, guaranteed by SLA Machine Learning is one of the most common use cases for Synthetic Data today, mainly in images or videos. Bitext has solutions for your current bot and for your new bot.

Data Scarcity 52

Data Scarcity Chatbots Machine Learning Explainability 52

Pickl AI

OCTOBER 9, 2024

Customer Service Automation SLMs power chatbots that handle customer inquiries efficiently, providing quick responses based on specific queries. Example: Companies like Zendesk utilise SLMs to automate responses to common customer questions, freeing up human agents for more complex issues.

Natural Language Processing 52

Natural Language Processing Data Scarcity Large Language Models AI 52

deepsense.ai

FEBRUARY 6, 2024

The entire process can be further automated incorporating automatic image tagging using modules like RAM or Tag2Text. Conclusions The release of the Segment Anything Model has brought about a revolution in addressing data scarcity in image segmentation. Note that we still have to provide textual description. Source: own study.

Prompt Engineering 105

Prompt Engineering Prompt Engineer NLP Computer Vision 105

AWS Machine Learning Blog

MARCH 14, 2024

Knowledge Bases for Amazon Bedrock automates the end-to-end RAG workflow, including ingestion, retrieval, and prompt augmentation, eliminating the need for you to write custom code to integrate data sources and manage queries. Model customization uses the pre-trained weights learned on larger datasets to overcome this data scarcity.

Generative AI 122

Generative AI Prompt Engineering Prompt Engineer AI 122

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Photo by THAVIS 3D on Unsplash Fundamentals of Deep Learning in Medical Image Analysis Deep learning systems automate and accurately analyze complicated imaging data, revolutionizing medical image analysis.

Deep Learning 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

Viso.ai

FEBRUARY 11, 2024

Machine Vision Machine vision focuses more on the analysis of image data for operational guidance. Today, this typically involves automated inspection and process control. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

Machine Vision Machine vision focuses more on the analysis of image data for operational guidance. Today, this typically involves automated inspection and process control. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Allen AI

DECEMBER 4, 2023

FACTSCORE can either be based on human evaluation, or be automated, which allows evaluation of a large set of LMs with no human efforts. FACTSCORE allows a more fine-grained evaluation of factual precision, e.g., in the figure, the top model gets a score of 66.7% and the bottom model gets 10.0%, whereas prior work would assign 0.0

Natural Language Processing 52

Natural Language Processing Large Language Models Data Scarcity NLP 52

John Snow Labs

AUGUST 7, 2024

For example, McKinsey points out that GenAI can automate the summarization of vast amounts of data from patient logs, which is a time-consuming task, thus freeing up healthcare professionals to focus on more complex patient needs.

Generative AI 59

Generative AI AI AI Algorithm 59

Heartbeat

FEBRUARY 27, 2024

Effective multilingual prompt engineering not only improves the accessibility of AI technologies but also offers a wide range of applications, ranging from automated translation and cross-cultural dialogue to global information retrieval and language-specific content development.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

deepsense.ai

FEBRUARY 12, 2024

The entire process can be further automated incorporating automatic image tagging using modules like RAM or Tag2Text. Conclusions The release of the Segment Anything Model has brought about a revolution in addressing data scarcity in image segmentation. Note that we still have to provide textual description. Source: own study.

Prompt Engineering 52

Prompt Engineering Prompt Engineer NLP Computer Vision 52

Viso.ai

DECEMBER 6, 2023

Synthetic data generation to help overcome data scarcity and privacy problems in computer vision. Product Ideation, where it provides manufacturers and designers with textual prompts describing their desired features to generate suitable images.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

John Snow Labs

FEBRUARY 29, 2024

For example, McKinsey points out that Gen AI can automate the summarization of vast amounts of data from patient logs, which is a time-consuming task, thus freeing up healthcare professionals to focus on more complex patient needs​​.

Generative AI 40

Generative AI AI AI Algorithm 40

Unite.AI

MARCH 13, 2024

BloombergGPT, for instance, with its 50-billion parameter size, is fine-tuned on a blend of proprietary financial data, embodying a pinnacle of financial NLP tasks. Data Availability and Quality : Obtaining high-quality, domain-specific datasets is crucial for training accurate and reliable DSLMs.

Natural Language Processing 201

Natural Language Processing Large Language Models Data Scarcity LLM 201

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Viso.ai

DECEMBER 15, 2023

It addresses issues in traditional end-to-end models, like data scarcity and lack of melody control, by separating lyric-to-template and template-to-melody processes. This approach enables high-quality, controllable melody generation with minimal lyric-melody paired data.

Computer Vision 52

Computer Vision Deep Learning AI AI 52

Pickl AI

DECEMBER 3, 2024

Summary: Generative AI is transforming Data Analytics by automating repetitive tasks, enhancing predictive modelling, and generating synthetic data. By leveraging GenAI, businesses can personalize customer experiences and improve data quality while maintaining privacy and compliance.

Generative AI 52

Generative AI Automation Data Quality Data Scarcity 52