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.

Data Ingestion 222

Data Ingestion Data Integration Data Quality LLM 222

IBM Journey to AI blog

JULY 30, 2024

AI Developer / Software engineers: Provide user-interface, front-end application and scalability support. Organizations in which AI developers or software engineers are involved in the stage of developing AI use cases are much more likely to reach mature levels of AI implementation.

Generative AI 229

Generative AI Data Scientist Software Engineer AI 229

IBM Journey to AI blog

MAY 8, 2023

Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

AI 218

AI AI Algorithm Generative AI 218

Unite.AI

JULY 19, 2024

It integrates smoothly with other products for a more comprehensive AI development environment. This helps developers to understand and fix the root cause. Key features of Cleanlab include: Cleanlab's AI algorithms can automatically identify label errors, outliers, and near-duplicates. Enhances data quality.

LLM 279

LLM AI AI Data Quality 279

Unite.AI

JUNE 12, 2024

Regulatory Needs : A substantial majority (88%) of respondents support increased government oversight of AI, particularly in areas related to security (72%) and privacy (64%). Trust in Data Quality Data Quality Issues : Many IT professionals are cautious about the quality of data used in AI systems.

Data Quality 147

Data Quality Automation AI AI 147

Unite.AI

OCTOBER 12, 2023

We are dedicated to powering the machine learning algorithms and technologies of the future through data generation and enhancement across every language, culture and modality. What is your vision for how LXT can accelerate AI efforts for different clients?

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

AWS Machine Learning Blog

NOVEMBER 25, 2024

Our goal is to contribute to and improve AI standards across several critical areas, including risk management, data quality, unwanted bias mitigation, and explainability.

Artificial Intelligence 115

Artificial Intelligence Artificial Intelligence Responsible AI Explainability 115

Unite.AI

SEPTEMBER 12, 2024

Traditionally, AI research and development have focused on refining models, enhancing algorithms, optimizing architectures, and increasing computational power to advance the frontiers of machine learning. However, a noticeable shift is occurring in how experts approach AI development, centered around Data-Centric AI.

Data Quality 162

Data Quality Data Scarcity AI AI 162

Unite.AI

MARCH 14, 2024

This includes AI systems used for indiscriminate surveillance, social scoring, and manipulative or exploitative purposes. In the realm of high-risk AI, the legislation imposes obligations for risk assessment, data quality control, and human oversight.

Artificial Intelligence 182

Artificial Intelligence Artificial Intelligence Categorization AI 182

Marktechpost

APRIL 1, 2024

Addressing this challenge requires a solution that is scalable, versatile, and accessible to a wide range of users, from individual researchers to large teams working on the state-of-the-art side of AI development. Existing research emphasizes the significance of distributed processing and data quality control for enhancing LLMs.

Large Language Models 115

Large Language Models ETL Data Ingestion Data Quality 115

Marktechpost

AUGUST 27, 2024

This makes it simple to include in workflows for AI development. In Conclusion With Saldor, an AI web scraper, you can quickly convert a website into a RAG agent. Saldor is an effective tool that makes web scraping for AI development easier.

Data Extraction 101

Data Extraction Automation Linked Data AI 101

IBM Journey to AI blog

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Global enterprises rely on IBM Consulting™ as a partner for their AI transformation journeys.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence AI 224

Unite.AI

DECEMBER 20, 2024

Being selective improves the datas reliability and builds trust across the AI and research communities. AI developers need to take responsibility for the data they use. AI tools themselves can also be designed to identify suspicious data and reduce the risks of questionable research spreading further.

Generative AI 130

Generative AI AI AI AI Modeling 130

Unite.AI

OCTOBER 22, 2024

There are major growth opportunities in both the model builders and companies looking to adopt generative AI into their products and operations. We feel we are just at the beginning of the largest AI wave. Data quality plays a crucial role in AI model development.

Natural Language Processing 130

Natural Language Processing Generative AI Computer Vision Automation 130

Unite.AI

MAY 3, 2024

Considering the Prolific business model, what are your thoughts on the essential role of human feedback in AI development, especially in areas like bias detection and social reasoning improvement? Human feedback in AI development is crucial. The importance of data quality cannot be overstated for AI systems.

AI Researcher 130

AI Researcher AI Research Data Quality AI Developer 130

Unite.AI

JUNE 10, 2024

Josh Wong is the Founder and CEO of ThinkLabs AI. ThinkLabs AI is a specialized AI development and deployment company. Its mission is to empower critical industries and infrastructure with trustworthy AI aimed at achieving global energy sustainability. Josh Wong attended the University of Waterloo.

Continuous Learning 130

Continuous Learning AI AI Automation 130

Unite.AI

DECEMBER 17, 2024

AI models should undergo continuous testing to evaluate accuracy, fairness, and compliance, with regular updates based on regulatory changes and new threat intelligence as identified by your AFC teams. Your organization must also make certain other strategic considerations in order to preserve security and data quality.

Automation 130

Automation AI AI Explainability 130

Marktechpost

AUGUST 10, 2024

It is the world’s first comprehensive milestone in terms of regulation of AI and reflects EU’s ambitions to establish itself as a leader in safe and trustworthy AI development The Genesis and Objectives of the AI Act The Act was first proposed by the EU Commission in April 2021 in the midst of growing concerns about the risks posed by AI systems.

Artificial Intelligence 134

Artificial Intelligence Artificial Intelligence AI AI 134

Unite.AI

JULY 24, 2024

If the training data is compromised, inaccurate, or error-filled, the model can produce biased and unreliable results, poor user experience, security vulnerabilities, and regulatory risks. In fact, Gartner estimates that poor data quality alone costs organizations an average $12.9 million annually.

AI 147

AI AI AI Modeling Data Quality 147

Marktechpost

DECEMBER 6, 2023

We also need better ways to evaluate data quality and ensure efficient interaction between data selection and annotation. It has the potential to revolutionize AI development, making it faster, cheaper, and more accessible. In Conclusion, DAL is a game-changer for AI development.

Natural Language Processing 105

Natural Language Processing Deep Learning Artificial Intelligence Artificial Intelligence 105

Towards AI

OCTOBER 31, 2024

If you are excited to dive into applied AI, want a study partner, or even want to find a partner for your passion project, join the collaboration channel! Golden_leaves68731 is a senior AI developer looking for a non-technical co-founder to join their venture. If this sounds like you, reach out in the thread!

LLM 116

LLM NLP BERT Large Language Models 116

Marktechpost

JULY 22, 2024

Models are trained on these data pools, enabling in-depth analysis of OP effectiveness and its correlation with model performance across various quantitative and qualitative indicators. In their methodology, the researchers implemented a hierarchical data pyramid, categorizing data pools based on their ranked model metric scores.

Generative AI 109

Generative AI AI Modeling Categorization AI 109

Marktechpost

JUNE 15, 2024

The Nemotron-4 340B Instruct model is particularly noteworthy as it generates synthetic data that closely mimics real-world data, improving the data quality and enhancing the performance of custom LLMs across diverse domains.

Large Language Models 116

Large Language Models LLM AI AI 116

Marktechpost

OCTOBER 7, 2024

indicating strong results across varying levels of data quality. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? For example, on the Hopper-Medium dataset, the minLSTM model achieved a performance score of 85.0,

Neural Network 110

Neural Network Natural Language Processing Machine Learning Data Quality 110

Snorkel AI

DECEMBER 2, 2024

The integration between the Snorkel Flow AI data development platform and AWS’s robust AI infrastructure empowers enterprises to streamline LLM evaluation and fine-tuning, transforming raw data into actionable insights and competitive advantages. Here’s what that looks like in practice.

Data Ingestion 52

Data Ingestion Large Language Models LLM Machine Learning 52

Marktechpost

AUGUST 15, 2024

Improving AI is complicated by data, as the amount of training data required for each new model release has increased significantly. This burden is further worsened by the growing problem of finding useful, compliant data in the open domain. Meet David AI , the artificial intelligence data marketplace.

Artificial Intelligence 64

Artificial Intelligence Artificial Intelligence AI AI 64

Snorkel AI

DECEMBER 2, 2024

The integration between the Snorkel Flow AI data development platform and AWS’s robust AI infrastructure empowers enterprises to streamline LLM evaluation and fine-tuning, transforming raw data into actionable insights and competitive advantages. Heres what that looks like in practice.

Data Ingestion 52

Data Ingestion Large Language Models LLM Machine Learning 52

Unite.AI

MARCH 14, 2024

Finally, AI strategy and training data constitute the largest allocations within AI budgets, signifying the strategic emphasis on laying a robust foundation for AI initiatives through comprehensive planning and quality data resources.

Computer Vision 124

Computer Vision AI AI Artificial Intelligence 124

Towards AI

APRIL 2, 2024

However, the AI community has also been making a lot of progress in developing capable, smaller, and cheaper models. This can come from algorithmic improvements and more focus on pretraining data quality, such as the new open-source DBRX model from Databricks. Why should you care?

OpenAI 103

OpenAI LLM Explainable AI AI 103

Marktechpost

DECEMBER 11, 2024

Image Source : LG AI Research Blog ([link] Responsible AI Development: Ethical and Transparent Practices The development of EXAONE 3.5 models adhered to LG AI Research s Responsible AI Development Framework, prioritizing data governance, ethical considerations, and risk management.

AI Research 82

AI Research AI Researcher Generative AI AI 82

AWS Machine Learning Blog

DECEMBER 4, 2024

Engineers need to build and orchestrate the data pipelines, juggle the different processing needs for each data source, manage the compute infrastructure, build reliable serving infrastructure for inference, and more. Together, Tecton and SageMaker abstract away the engineering needed for production, real-time AI applications.

ML 97

ML Generative AI AI AI 97

Pickl AI

DECEMBER 16, 2024

With the global AI market exceeding $184 billion in 2024a $50 billion leap from 2023its clear that AI adoption is accelerating. This blog aims to help you navigate this growth by addressing key enablers of AI development. Key Takeaways Reliable, diverse, and preprocessed data is critical for accurate AI model training.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 52

Snorkel AI

JANUARY 9, 2024

Snorkel offers a full suite of third-party data connectors, making data stored in popular cloud repositories like Databricks quickly and easily accessible for data-centric AI development with Snorkel Flow.

Machine Learning 52

Machine Learning Large Language Models Data Scientist Data Quality 52

Marktechpost

OCTOBER 7, 2024

However, challenges such as false positives, data quality, and limited treatment options prompted the integration of AI and IoMT technologies. These technologies enhance early detection and personalized care but face obstacles like data privacy, device reliability, and model generalizability. Let’s collaborate!

ML 64

ML Deep Learning AI AI 64

Snorkel AI

JANUARY 9, 2024

Snorkel offers a full suite of third-party data connectors, making data stored in popular cloud repositories like Databricks quickly and easily accessible for data-centric AI development with Snorkel Flow.

Machine Learning 52

Machine Learning Large Language Models LLM Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

However, innovation was hampered due to using fragmented AI development environments across teams. This heterogeneity initially enabled different teams to move fast in their early AI development efforts, but is now holding back opportunities to scale and improve efficiency of our AI development processes.

Data Scientist 125

Data Scientist ML Data Science Automation 125

Marktechpost

OCTOBER 8, 2024

Conclusion and Future Work The EuroLLM project has successfully developed multilingual language models that support all European Union languages, addressing the need for inclusive LLMs beyond English. Check out the Paper and Model on HF. All credit for this research goes to the researchers of this project. Let’s collaborate! and EuroLLM-1.7B-Instruct)

Natural Language Processing 64

Natural Language Processing Large Language Models Artificial Intelligence Artificial Intelligence 64