AI News

DECEMBER 9, 2024

Cisco’s 2024 Data Privacy Benchmark Study revealed that 48% of employees admit to entering non-public company information into GenAI tools (and an unknown number have done so and won’t admit it), leading 27% of organisations to ban the use of such tools. The best way to reduce the risks is to limit access to sensitive data.

Explainability 299

Explainability AI AI LLM 299

AI News

DECEMBER 10, 2024

For instance, in practical applications, the classification of all kinds of object classes is rarely required, explains Associate Professor Go Irie, who led the research. ” This approach breaks latent context a representation of information generated by prompts into smaller, more manageable pieces.

AI Modeling 312

AI Modeling Black Box AI Big Data AI 312

AI News

FEBRUARY 14, 2025

In 2025, open-source AI solutions will emerge as a dominant force in closing this gap, he explains. With so many examples of algorithmic bias leading to unwanted outputs and humans being, well, humans behavioural psychology will catch up to the AI train, explained Mortensen. The solutions?

ESG 317

ESG Big Data Explainability AI 317

NVIDIA

MARCH 17, 2025

Tokens are tiny units of data that come from breaking down bigger chunks of information. Other audio applications may instead focus on capturing the meaning of a sound clip containing speech, and use another kind of tokenizer that captures semantic tokens, which represent language or context data instead of simply acoustic information.

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Explainability AI AI AI Modeling 99

AI News

DECEMBER 11, 2024

Leap towards transformational AI Reflecting on Googles 26-year mission to organise and make the worlds information accessible, Pichai remarked, If Gemini 1.0 was about organising and understanding information, Gemini 2.0 A year after introducing the Gemini 1.0 is about making it much more useful. training and inference.

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Big Data AI AI Automation 319

AI News

NOVEMBER 13, 2024

With a practical look at AI trends, this course prepares leaders to develop a culture that supports AI adoption and equips them with the tools needed to make informed decisions.

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Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 308

Unite.AI

NOVEMBER 14, 2024

“Our initial question was whether we could combine the best of both sensing modalities,” explains Mingmin Zhao, Assistant Professor in Computer and Information Science. “Our signal processing and machine learning algorithms are able to extract rich 3D information from the environment.”

Robotics 275

Robotics Machine Learning Explainability Algorithm 275

IBM Journey to AI blog

OCTOBER 15, 2024

Fantasy football team owners are faced with complex decisions and an ocean of information. For the last 8 years, IBM has worked closely with ESPN to infuse its fantasy football experience with insights that help fantasy owners of all skill levels make more informed decisions.

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Explainability Machine Learning Large Language Models Algorithm 257

Unite.AI

FEBRUARY 21, 2025

The goal is to speed up scientific breakthroughs by making sense of information overload and suggesting insights a human might miss. The AI can even use external tools like web search and other specialized models to double-check facts or gather data as it works, ensuring its hypotheses are grounded in up-to-date information.

AI 299

AI AI Robotics Explainability 299

AI News

FEBRUARY 18, 2025

According to xAI owner Elon Musk, this project utilised 10x more computing power than its predecessor, Grok 2, with an expanded dataset that reportedly includes information from legal case filings. When Grok 3 is mature and stable, which is probably within a few months, then well open-source Grok 2, explains Musk.

AI Modeling 300

AI Modeling Big Data OpenAI AI 300

AI News

NOVEMBER 28, 2024

At the TED AI conference in San Francisco last month, Brown explained that “having a bot think for just 20 seconds in a hand of poker got the same boosting performance as scaling up the model by 100,000x and training it for 100,000 times longer.”

Large Language Models 325

Large Language Models Big Data OpenAI AI Modeling 325

Unite.AI

MARCH 6, 2025

It excels in performing logic-based problems, processing multiple steps of information, and offering solutions that are typically difficult for traditional models to manage. This could be achieved by adjusting training methodologies to reward models for producing answers that are both accurate and explainable.

Large Language Models 195

Large Language Models Explainability Black Box AI AI Research 195

Towards AI

MARCH 13, 2025

Now, for this weeks issue, we have a very interesting article on information theory, exploring self-information, entropy, cross-entropy, and KL divergence these concepts bridge probability theory with real-world applications. Ill attend many discussions and am excited to meet some of you there.

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Large Language Models Robotics LLM Data Science 82

Unite.AI

NOVEMBER 29, 2024

While descriptive AI looks at past information and predictive AI forecasts what might happen, prescriptive AI takes it further. The process begins with data ingestion and preprocessing, where prescriptive AI gathers information from different sources, such as IoT sensors, databases, and customer feedback.

Algorithm 276

Algorithm AI AI Data Ingestion 276

Unite.AI

JANUARY 22, 2025

Organizations need to create and communicate comprehensive data handling policies that explain how customer information is collected, used, and protected, written in clear, accessible language. Transparency in data handling is equally crucial for building and maintaining customer trust.

Explainability 221

Explainability AI AI Artificial Intelligence 221

Analytics Vidhya

DECEMBER 3, 2024

In the fast-growing area of digital healthcare, medical chatbots are becoming an important toolfor improving patient care and providing quick, reliable information. This article explains how to build a medical chatbot that uses multiple vectorstores.

Chatbots 207

Chatbots Explainability Generative AI Machine Learning 207

AI News

APRIL 6, 2025

AI-powered systems must be designed with built-in compliance mechanisms, data privacy protections, and explainability features to build trust among users and regulators alike. Users must feel confident that AI decisions are accurate, fair, and explainable. That means AI governance can no longer be an afterthought.

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Big Data Automation AI AI 226

Unite.AI

MARCH 29, 2025

The development of reasoning techniques is the key driver behind this transformation, allowing AI models to process information in a structured and logical manner. Its ability to process information before responding ensures high accuracy, particularly in complex queries. Google's Gemini 2.0 Google's Gemini 2.0 Anthropic's Claude 3.7

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Large Language Models OpenAI Data Analysis Explainability 270

Flipboard

MARCH 25, 2025

They search and retrieve trusted information in a database and then limit the scope of how the LLM is used. It also explains how systems can provide links and citations to the underlying material. Well that explains OpenAI’s Deep Research service that was announced earlier this year.

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Large Language Models ChatGPT Explainability OpenAI 144

AI News

MARCH 9, 2025

Transparency and Explainability This, to my mind, forms part of the guidelines around equality. Stakeholders and any communities that are affected should be informed and consulted and informed of any benefits and potential risks.

Big Data 280

Big Data Artificial Intelligence Artificial Intelligence AI 280

Unite.AI

JANUARY 2, 2025

Many factors have contributed to this phenomenon, such as knowledge deficiencies, which explains how LLMs may lack the knowledge or ability to assimilate information correctly during pre-training. The most straightforward way to prevent LLMs from distributing personal information is to purge it from the training data.

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LLM ChatGPT Large Language Models Artificial Intelligence 235

Pickl AI

APRIL 9, 2025

This guide explains its significance, formulas for different tests, practical examples, and key applications in hypothesis testing. Regression Analysis In regression models, residual degrees of freedom measure how well predictors explain variability in dependent variables.

Explainability 52

Explainability 52

Unite.AI

MARCH 20, 2025

Lack of Transparency and Explainability Many AI models operate as “black boxes,” making their decision-making processes unclear. It cant be overstated that the inability to explain AI decisions can also erode customer trust and regulatory confidence. Visualizing AI decision-making helps build trust with stakeholders.

Algorithm 162

Algorithm AI AI Explainability 162

Towards AI

FEBRUARY 10, 2025

Natural language processing NLP technology allows these agents to understand and interpret human language so that they can efficiently interact with users and process information from text sources. Contextual understanding It helps agentic AI to interpret information based on their surrounding context instead of isolation.

Explainability 85

Explainability AI AI Natural Language Processing 85

Unite.AI

APRIL 3, 2025

of teams using vector databases to ground their AI systems in factual information. This explains why 53.5% This explains why most teams (53.5%) rely on prompt engineering rather than fine-tuning (32.5%) to guide model outputs. L2: The Current Frontier This is where cutting-edge development is happening now, with 59.7%

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Prompt Engineer Prompt Engineering Software Engineer Explainability 147

Pickl AI

APRIL 8, 2025

This blog explains its syntax, use cases, troubleshooting, and alternatives with practical examples to help you master this SQL technique. This makes FULL OUTER JOIN super useful when you need a complete dataset without losing any information. The post SQL FULL OUTER JOIN Explained in Simple Words appeared first on Pickl.AI.

Explainability 52

Explainability Data Science Data Analysis 52

Flipboard

FEBRUARY 23, 2025

These shoddy and half-baked "solutions" are likely familiarto anyone who's worked with AI which is great at spitting out confident-sounding information that often falls apart on closer inspection. As the researchers explained, Claude 3.5

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OpenAI Software Engineer Large Language Models Explainability 181

AI News

FEBRUARY 19, 2025

Were building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals, the company explains. Bridging gaps in the current AI landscape Thinking Machines aims to address key gaps in the current AI landscape.

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OpenAI Big Data AI AI 307

Ehud Reiter

MARCH 2, 2025

Bayesian networks are causal graphs which contain probabilistic information about the relationship between nodes. However in practice they can be difficult to build and are not easy to explain, which limits their usefulness. Nikolay’s goal is to make BNs easier to build and explain, and hence more useful.

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Explainability Large Language Models Algorithm LLM 126

Analytics Vidhya

JUNE 13, 2024

Introduction When working with databases and analyzing data, ranking records is very important for organizing information based on certain conditions. This guide explains what `DENSE_RANK()` is, how it operates, and when to use it effectively […] The post Understanding DENSE_RANK in SQL appeared first on Analytics Vidhya.

Explainability 306

Explainability 306

AI News

OCTOBER 8, 2024

“The question that I investigate is, how do we get this kind of information, this normative understanding of the world, into a machine that could be a robot, a chatbot, anything like that?” So, in this field, they developed algorithms to extract information from the data. ” Canavotto says.

Artificial Intelligence 319

Artificial Intelligence Artificial Intelligence Explainability Big Data 319

Unite.AI

JANUARY 29, 2025

An AI-native data abstraction layer acts as a controlled gateway, ensuring your LLMs only access relevant information and follow proper security protocols. Explainability and Trust AI outputs can often feel like black boxesuseful, but hard to trust. This enhances trust and ensures repeatable, consistent results.

LLM 165

LLM Explainability AI AI 165

Analytics Vidhya

JUNE 17, 2024

Among the various tools at our disposal are charts, which explain complicated information simply and straightforwardly. Introduction Data visualization is an important step toward discovering insights and patterns. The 3D pie chart is a very handy graphic.

Explainability 306

Explainability 306

Flipboard

APRIL 3, 2025

Secure CVD information is needed while dealing with confidential patient healthcare data, especially with a decentralized blockchain technology (BCT) system that requires strong encryption. However, AI and blockchain-empowered approaches could make people trust the healthcare sector, mainly in diagnosing areas like cardiovascular care.

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Explainable AI Explainability Chatbots Artificial Intelligence 132

Towards AI

NOVEMBER 11, 2024

They produce sentences that flow well and seem human, but without truly “understanding” the information they’re presenting. For people or companies who rely on AI for correct information, these hallucinations can be a big problem — they break trust and sometimes lead to serious mistakes. So, sometimes, they drift into fiction.

Neural Network 119

Neural Network Large Language Models Explainability Generative AI 119

Towards AI

FEBRUARY 11, 2025

NLP Process: Recognize: rain, later, run, downpour, gonna (informal for going to) NLU Understand: The person is asking about the likelihood of rain and wants to know if its a good time for a run. Lets revisit the weather example with these terms: You: Hey, is it gonna rain later?

Conversational AI 74

Conversational AI Explainability NLP Natural Language Processing 74

Flipboard

APRIL 3, 2025

However, models often struggle with information overload, making it difficult to extract meaningful insights from all that context. The YouTube channel AI Explained points out that Gemini 2.5 The YouTube channel AI Explained points out that Gemini 2.5 Pro, for example, can handle up to a million tokens.)

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AI Modeling OpenAI Explainability AI 130