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 162

LLM Explainability AI AI 162

Unite.AI

MAY 22, 2024

It boasts a staggering performance improvement over its predecessor, GPT-4, and leaves competing models like Gemini 1.5 Let's dive deeper into what makes this AI model truly groundbreaking. According to OpenAI's evaluations, the model has a remarkable 60 Elo point lead over the previous top performer, GPT-4 Turbo.

AI Modeling 257

AI Modeling OpenAI Responsible AI AI 257

Unite.AI

MARCH 6, 2025

We develop AI governance frameworks that focus on fairness, accountability, and transparency in decision-making. Our approach includes using diverse training data to help mitigate bias and ensure AI models align with societal expectations. We work closely with clients to build AI models that are both efficient and ethical.

Automation 162

Automation AI Modeling Natural Language Processing Explainability 162

IBM Journey to AI blog

FEBRUARY 8, 2023

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic.

Responsible AI 130

Responsible AI Explainability Explainable AI Automation 130

Unite.AI

JANUARY 2, 2025

Transparency allows AI decisions to be explained, understood, and verified. Developers can identify and correct biases when AI systems are explainable, creating fairer outcomes. A 2024 report commissioned by Workday highlights the critical role of transparency in building trust in AI systems.

AI Developer 130

AI Developer AI Development Explainability AI 130

Unite.AI

NOVEMBER 4, 2024

Ex-Human was born from the desire to push the boundaries of AI even further, making it more adaptive, engaging, and capable of transforming how people interact with digital characters across various industries. Ex-human uses AI avatars to engage millions of users. influence the training and development of your AI models?

Conversational AI 246

Conversational AI Explainability Chatbots AI 246

IBM Journey to AI blog

OCTOBER 12, 2023

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.

Data Scientist 234

Data Scientist Metadata Responsible AI Explainability 234

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. A responsible approach to AI development is paramount to fully capitalize on AI, especially for banks.

Explainable AI 135

Explainable AI AI AI Natural Language Processing 135

Unite.AI

FEBRUARY 17, 2025

AI agents can help organizations be more effective, more productive, and improve the customer and employee experience, all while reducing costs. Curating data sources greatly reduces the risk of hallucinations and enables the AI to make the optimal analysis, recommendations, and decisions. per year to 300k per year.

Automation 144

Automation Responsible AI Generative AI AI Modeling 144

AI News

APRIL 24, 2024

. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

Big Data 329

Big Data Large Language Models Generative AI AI Modeling 329

IBM Journey to AI blog

MAY 9, 2023

A lack of confidence to operationalize AI Many organizations struggle when adopting AI. According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.

Metadata 227

Metadata Explainability Automation Responsible AI 227

AI News

FEBRUARY 23, 2024

London-based AI lab Stability AI has announced an early preview of its new text-to-image model, Stable Diffusion 3. The advanced generative AI model aims to create high-quality images from text prompts with improved performance across several key areas. We believe in safe, responsible AI practices.

Big Data 318

Big Data OpenAI AI AI 318

AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. In addition, editorial guidance on AI has been updated to note that ‘all AI usage has active human oversight.’

Prompt Engineering 333

Prompt Engineering Prompt Engineer OpenAI Large Language Models 333

Unite.AI

JANUARY 20, 2025

Transparency = Good Business AI systems operate using vast datasets, intricate models, and algorithms that often lack visibility into their inner workings. This opacity can lead to outcomes that are difficult to explain, defend, or challengeraising concerns around bias, fairness, and accountability.

Explainability 111

Explainability Explainable AI AI AI 111

Artificial Corner

APRIL 18, 2025

Claude has learned to sound like it’s reasoning the way we expect (probably based on how math is explained in its training data), but under the hood, it may be doing something entirely different. AI can generate convincing, logical-sounding arguments that are, in fact, false (especially when asked to explain its reasoning).

Explainability 111

Explainability AI AI Large Language Models 111

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. This is not how things should be.

AI Modeling 147

AI Modeling Automation Explainable AI AI Chatbots 147

Towards AI

OCTOBER 19, 2024

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. What is Explainability AI (XAI)? It’s particularly useful in natural language processing [3].

Explainability 105

Explainability Explainable AI Natural Language Processing Prompt Engineering 105

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.

Composite AI 176

Composite AI Explainability Black Box AI Explainable AI 176

Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. 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.

Explainability 284

Explainability AI AI Responsible AI 284

Marktechpost

NOVEMBER 22, 2024

It helps developers identify and fix model biases, improve model accuracy, and ensure fairness. Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development. It offers features like model training, evaluation, and deployment.

Automation 107

Automation Explainability Data Analysis Machine Learning 107

Unite.AI

AUGUST 8, 2024

AI is not ready to replicate human-like experiences due to the complexity of testing free-flow conversation against, for example, responsible AI concerns. Additionally, organizations must address security concerns and promote responsible AI (RAI) practices. safe, secure, private and effective) and responsible (i.e.,

AI Modeling 157

AI Modeling LLM Automation Responsible AI 157

Unite.AI

MARCH 20, 2025

Ibex Prostate Detect is the only FDA-cleared solution that provides AI-powered heatmaps for all areas with a likelihood of cancer, offering full explainability to the reviewing pathologist. Can you explain how the heatmap feature assists pathologists in identifying cancerous tissue?

Convolutional Neural Networks 144

Convolutional Neural Networks Algorithm Explainability Neural Network 144

Unite.AI

NOVEMBER 25, 2024

For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. This article dives into design patterns in Python, focusing on their relevance in AI and LLM -based systems. Real-time updates for dashboards or logs.

Python 144

Python LLM AI Engineer AI 144

IBM Journey to AI blog

MAY 2, 2023

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. We don’t need a pause to prioritize responsible AI. The stakes are simply too high, and our society deserves nothing less.

AI Developer 296

AI Developer AI Development AI AI 296

IBM Journey to AI blog

FEBRUARY 28, 2024

IBM watsonx™ , an integrated AI, data and governance platform, embodies five fundamental pillars to help ensure trustworthy AI: fairness, privacy, explainability, transparency and robustness. This platform offers a seamless, efficient and responsible approach to AI development across various environments.

Generative AI 293

Generative AI Explainability AI AI 293

Unite.AI

MAY 27, 2024

Thus, based on a borrower's unique financial profile, AI can help tailor loan products and interest rates, creating a balanced and accessible credit system. As AI plays a more prominent role in financial services, regulations will need to be adapted to address issues like data privacy, algorithmic accountability, and ethical AI practices.

Machine Learning 222

Machine Learning Explainability Algorithm AI 222

Unite.AI

JULY 1, 2024

It doesn’t matter if you are an online consumer or a business using that information to make key decisions – responsible AI systems allow all of us to fully and better understand information, as you need to ensure what is coming out of Generative AI is accurate and reliable. This is all provided at optimal cost to enterprises.

Explainability 167

Explainability Software Engineer AI Modeling Responsible AI 167

Unite.AI

JULY 26, 2024

Understanding ChatGPT-4 and Llama 3 LLMs have advanced the field of AI by enabling machines to understand and generate human-like text. These AI models learn from huge datasets using deep learning techniques. To address these ethical concerns, developers and organizations should prioritize AI explainability techniques.

ChatGPT 275

ChatGPT OpenAI Natural Language Processing NLP 275

IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Metadata 220

Metadata Explainability Automation Explainable AI 220

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.

Artificial Intelligence 126

Artificial Intelligence Artificial Intelligence AI Modeling AI 126

IBM Journey to AI blog

SEPTEMBER 5, 2024

If implemented responsibly, AI has the transformative potential to offer personalized learning and evaluation experiences to enhance fairness in assessments across student populations that include marginalized groups. Primary effects describe the intended, known effects of the product, in this case an AI model.

AI 201

AI AI Artificial Intelligence Artificial Intelligence 201

AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Architects could also use this mechanism to explain the floor plan to customers.

LLM 105

LLM Convolutional Neural Networks Metadata Explainability 105

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

ODSC - Open Data Science

OCTOBER 21, 2024

As AI systems become increasingly embedded in critical decision-making processes and in domains that are governed by a web of complex regulatory requirements, the need for responsible AI practices has never been more urgent. But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI.

Responsible AI 52

Responsible AI ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

JULY 10, 2024

Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety, fairness, robustness, security, and privacy into our development processes and educating our employees.

Generative AI 133

Generative AI Responsible AI AI AI 133

Flipboard

JULY 28, 2023

Paige Vickers/Vox; Getty Images The AI debate splitting the tech world, explained. Last week, Meta made a game-changing move in the world of AI. Zuckerberg also made the case for why it’s better for leading AI models to be “open source,” which means making the technology’s underlying code largely available for anyone to use.

AI Modeling 123

AI Modeling Large Language Models AI AI 123

Towards AI

JULY 27, 2024

Claude AI and ChatGPT are both powerful and popular generative AI models revolutionizing various aspects of our lives. Dedicated to safety and security It is a well-known fact that Anthropic prioritizes responsible AI development the most, and it is clearly seen in Claude’s design.

ChatGPT 119

ChatGPT Prompt Engineering Prompt Engineer Explainability 119