Unite.AI

JUNE 19, 2023

Adam Asquini is a Director of Information Management & Data Analytics at KPMG in Edmonton. He is responsible for leading data and advanced analytics projects for KPMG's clients in the prairies. We've seen significant work in consolidating supply contracts by just being able to better search and query and find information.

Generative AI 244

Generative AI Responsible AI Artificial Intelligence Artificial Intelligence 244

Unite.AI

JANUARY 7, 2025

The models are given two scenarios, enabling them to exploit different situations for responding differently. First, the models are told that responses from free-tier users would be monitored and influence future training. In the second scenario, the models are informed that reactions from paid-tier users wouldnt be observed.

AI 251

AI AI Large Language Models AI Modeling 251

Unite.AI

MARCH 6, 2025

The platform speeds up workflows and helps agents provide faster, more accurate responses. TaskGPT helps agents retrieve information and make smart suggestions in real-time, which makes customer interactions smoother and more efficient. Agentic AI can tap those stores to inform its ability to act.

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Automation AI Modeling Natural Language Processing Explainability 164

Unite.AI

MARCH 31, 2025

The AI model market is growing quickly, with companies like Google , Meta , and OpenAI leading the way in developing new AI technologies. Googles Gemma 3 has recently gained attention as one of the most powerful AI models that can run on a single GPU, setting it apart from many other models that need much more computing power.

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Unite.AI

JANUARY 29, 2025

Instead of solely focusing on whos building the most advanced models, businesses need to start investing in robust, flexible, and secure infrastructure that enables them to work effectively with any AI model, adapt to technological advancements, and safeguard their data. AI models are just one part of the equation.

LLM 164

LLM Explainability AI AI 164

Unite.AI

NOVEMBER 28, 2024

By integrating AI with open-source tools, SAP is creating a new standard for intelligent businesses, helping them adapt and succeed in today’s fast-paced world. Today’s businesses face several challenges, such as managing data from different systems and making quick, informed choices.

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AI AI NLP Natural Language Processing 159

IBM Journey to AI blog

JUNE 20, 2024

A robust framework for AI governance The combination of IBM watsonx.governance™ and Amazon SageMaker offers a potent suite of governance, risk management and compliance capabilities that streamline the AI model lifecycle. In highly regulated industries like finance and healthcare, AI models must meet stringent standards.

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Unite.AI

JULY 12, 2024

Although these advancements have driven significant scientific discoveries, created new business opportunities, and led to industrial growth, they come at a high cost, especially considering the financial and environmental impacts of training these large-scale models. Financial Costs: Training generative AI models is a costly endeavour.

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Algorithm AI Modeling Generative AI AI 193

Unite.AI

OCTOBER 23, 2024

LLMs are trained on large datasets that contain personal and sensitive information. This possibility of misuse raises important questions about how these models handle privacy. When an LLM is trained on vast datasets, it learns patterns, facts, and linguistic nuances from the information it is exposed to.

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LLM Large Language Models AI AI 314

Unite.AI

MARCH 18, 2025

What are the key challenges AI teams face in sourcing large-scale public web data, and how does Bright Data address them? Scalability remains one of the biggest challenges for AI teams. Since AI models require massive amounts of data, efficient collection is no small task. One other major concern is monopolization.

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AI Modeling Automation Explainable AI AI Chatbots 147

Unite.AI

FEBRUARY 17, 2025

With non-AI agents, users had to define what they had to automate and how to do it in great detail. AI agents can help organizations be more effective, more productive, and improve the customer and employee experience, all while reducing costs.

Automation 146

Automation Responsible AI Generative AI AI Modeling 146

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

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Data Scientist Metadata Explainability Responsible AI 234

AWS Machine Learning Blog

NOVEMBER 19, 2024

With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards. Amazon Bedrock Guardrails helps implement safeguards for generative AI applications based on specific use cases and responsible AI policies.

Automation 107

Automation Responsible AI Generative AI Software Development 107

Unite.AI

MAY 13, 2024

The LayerX study revealed that 6% of workers have copied and pasted sensitive information into GenAI tools, and 4% do so weekly. Let’s look at the growing risk of information leakage in GenAI solutions and the necessary preventions for a safe and responsible AI implementation.

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Unite.AI

JANUARY 1, 2025

Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. AI-driven systems must incorporate advanced encryption and data anonymization to safeguard against breaches.

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Explainable AI AI AI Natural Language Processing 138

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data.

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Metadata Convolutional Neural Networks Generative AI Data Scientist 110

Towards AI

JANUARY 21, 2025

Despite sensationalized false positives, the way AI models are built (at least the publicly known ones) precludes even the possibility at present. To be clear, recalling past interactions in this context equates to possessing the capacity to learn beyond the base model. This theory has profound implications for AI.

AI 114

AI AI Large Language Models Artificial Intelligence 114

AWS Machine Learning Blog

MARCH 20, 2025

In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible.

Automation 106

Automation IDP Generative AI Prompt Engineer 106

Unite.AI

FEBRUARY 5, 2025

The Lenovo CIO Playbook 2025: It's Time for AI-nomics provides a deep dive into the transformative impact of AI, highlighting the economic, technological, and operational shifts that Chief Information Officers (CIOs) must navigate.

AI 130

AI AI Automation Machine Learning 130

Flipboard

MARCH 7, 2025

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks.

Generative AI 150

Generative AI Prompt Engineer Prompt Engineering Software Development 150

AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation.

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Generative AI Machine Learning AI AI 106

Unite.AI

DECEMBER 13, 2023

However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024. About 80% of executives incorporate AI technology in their strategies and business decisions.

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Explainability AI AI Responsible AI 287

AWS Machine Learning Blog

NOVEMBER 15, 2024

This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

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Generative AI Chatbots AI AI 114

Unite.AI

SEPTEMBER 18, 2024

System Instructions: Users can guide the model's response style through system instructions. Long-context Learning: Ability to learn new skills from information within its extended context window. Real-Time Information Processing: Access to and processing of real-time information from X (formerly Twitter).

Large Language Models 302

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 302

Unite.AI

MARCH 22, 2024

It offers a more hands-on and communal way for AI to pick up new skills. Social Learning in LLMs An important aspect of social learning is to exchange the knowledge without sharing original and sensitive information. The focus would be on developing AI systems that can reason ethically and align with societal values.

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Large Language Models Artificial Intelligence Artificial Intelligence AI 295

Flipboard

APRIL 1, 2025

Today, organizations struggle with AI hallucination when moving generative AI applications from experimental to production environments. Model hallucination, where AI systems generate plausible but incorrect information, remains a primary concern.

Automation 165

Automation Generative AI AI AI 165

Marktechpost

DECEMBER 6, 2023

Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing commitment to AI-first strategies, a journey that has spanned nearly eight years.

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Artificial Intelligence Artificial Intelligence AI Modeling AI 126

Unite.AI

MARCH 15, 2024

It uses advanced AI and semantic search technologies to transform online search. Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. AI Summaries: Provides AI generated summaries with images and videos for insights.

AI 304

AI AI OpenAI Chatbots 304

AWS Machine Learning Blog

NOVEMBER 26, 2024

Large language models (LLMs) have come a long way from being able to read only text to now being able to read and understand graphs, diagrams, tables, and images. In this post, we discuss how to use LLMs from Amazon Bedrock to not only extract text, but also understand information available in images. 90B Vision model.

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LLM Convolutional Neural Networks Metadata Explainability 97

Unite.AI

JULY 1, 2024

Its AI technology assesses all types of content, whether human-created or machine-generated. Seekr enhances user choice and control by providing streamlined access to trustworthy information. In the same way software engineers and QA can scan, test and validate their code, we provide the same capabilities for AI models.

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Explainability Software Engineer AI Modeling Responsible AI 170

Unite.AI

JANUARY 20, 2025

For example, if a healthcare provider uses AI to analyze patient data, they need airtight privacy measures that keep individual records safe while still delivering valuable insights. Instead of feeding customer data directly into AI models, use secure integrations like APIs and formal Data Processing Agreements (DPAs) to keep things in check.

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Explainability Explainable AI AI AI 112

IBM Journey to AI blog

JULY 30, 2024

Data Scientists will typically help with training, validating, and maintaining foundation models that are optimized for data tasks. Data Engineer: A data engineer sets the foundation of building any generating AI app by preparing, cleaning and validating data required to train and deploy AI models. Use watsonx.ai

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Generative AI Data Scientist Software Engineer AI 266

IBM Journey to AI blog

JULY 26, 2023

The first among these is using intelligent document understanding to process sustainability information. It’s a time-consuming process to collect relevant information and produce ESG reports. A company could combine purchase order information with a supplier’s ESG report.

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ESG AI AI Generative AI 231

Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Composite AI Explainability Black Box AI Neural Network 179

Unite.AI

MAY 27, 2024

Detecting fraud with AI Traditional fraud detection methods rely on rule-based systems that can only identify pre-programmed patterns. By considering this broad data set, AI can create a more nuanced picture of a borrower's creditworthiness, identifying complex relationships within the data that might be missed by traditional methods.

Machine Learning 223

Machine Learning Explainability Algorithm AI 223

AWS Machine Learning Blog

JANUARY 30, 2025

Building an effective prompt for reviewing grant proposals using generative AI Prompt engineering is the art of crafting effective prompts to instruct and guide generative AI models, such as LLMs, to produce the desired outputs. Start with a default score of 0 and increase it based on the information in the proposal.

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Prompt Engineer Prompt Engineering Generative AI Software Development 83

AWS Machine Learning Blog

MARCH 14, 2025

Both features rely on the same LLM-as-a-judge technology under the hood, with slight differences depending on if a model or a RAG application built with Amazon Bedrock Knowledge Bases is being evaluated. The diversity of this dataset will provide a comprehensive view of your RAG application performance in production.

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Generative AI Responsible AI Automation LLM 89