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How debugging and data lineage techniques can protect Gen AI investments

AI News

As the adoption of AI accelerates, organisations may overlook the importance of securing their Gen AI products. Companies must validate and secure the underlying large language models (LLMs) to prevent malicious actors from exploiting these technologies. Furthermore, AI itself should be able to recognise when it is being used for criminal purposes. Enhanced observability and monitoring of model behaviours, along with a focus on data lineage can help identify when LLMs have been compromised.

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What is Bias in a RAG System?

Analytics Vidhya

RAG, or Retrieval-Augmented Generation, has received widespread acceptance when it comes to reducing model hallucinations and enhancing the domain-specific knowledge base of large language models (LLMs). Corroborating information produced by an LLM with external data sources has helped keep the model outputs fresh and authentic. However, recent findings in a RAG system have underscored the […] The post What is Bias in a RAG System?

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Anthropic provides insights into the ‘AI biology’ of Claude

AI News

Anthropic has provided a more detailed look into the complex inner workings of their advanced language model, Claude. This work aims to demystify how these sophisticated AI systems process information, learn strategies, and ultimately generate human-like text. As the researchers initially highlighted, the internal processes of these models can be remarkably opaque, with their problem-solving methods often “inscrutable to us, the models developers.” Gaining a deeper understanding of t

Big Data 317
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How to Use OpenAI MCP Integration for Building Agents?

Analytics Vidhya

To improve AI interoperability, OpenAI has announced its support for Anthropic’s Model Context Protocol (MCP), an open-source standard designed to streamline the integration between AI assistants and various data systems. This collaboration marks a pivotal step in creating a unified framework for AI applications to access and utilize external data sources effectively.

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The Ultimate Blueprint for an AI-First Contact Center

Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.

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How OpenAI’s o3, Grok 3, DeepSeek R1, Gemini 2.0, and Claude 3.7 Differ in Their Reasoning Approaches

Unite.AI

Large language models (LLMs) are rapidly evolving from simple text prediction systems into advanced reasoning engines capable of tackling complex challenges. Initially designed to predict the next word in a sentence, these models have now advanced to solving mathematical equations, writing functional code, and making data-driven decisions. The development of reasoning techniques is the key driver behind this transformation, allowing AI models to process information in a structured and logical ma

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Speed Demon: NVIDIA Blackwell Takes Pole Position in Latest MLPerf Inference Results

NVIDIA

In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records and marked NVIDIAs first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute infrastructure, called AI factories.

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Gemma 3: Google’s Answer to Affordable, Powerful AI for the Real World

Unite.AI

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. This makes Gemma 3 appealing to many users, from small businesses to researchers.

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Teachers Believe That AI Is Here to Stay in Education. How It Should Be Taught Is Debatable.

Flipboard

One of the perks of Angie Adams job at Samsung is that every year, she gets to witness how some of the countrys most talented emerging scientists are tackling difficult problems in creative ways. Theyre working on AI tools that can recognize the signs of oncoming panic attacks for kids on the autism spectrum in one case, and figuring out how drones can be used effectively to fight wildfires in another.

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Google AI Released TxGemma: A Series of 2B, 9B, and 27B LLM for Multiple Therapeutic Tasks for Drug Development Fine-Tunable with Transformers

Marktechpost

Developing therapeutics continues to be an inherently costly and challenging endeavor, characterized by high failure rates and prolonged development timelines. The traditional drug discovery process necessitates extensive experimental validations from initial target identification to late-stage clinical trials, consuming substantial resources and time.

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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

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Dame Wendy Hall, AI Council: Shaping AI with ethics, diversity and innovation

AI News

Dame Wendy Hall is a pioneering force in AI and computer science. As a renowned ethical AI speaker and one of the leading voices in technology, she has dedicated her career to shaping the ethical, technical and societal dimensions of emerging technologies. She is the co-founder of the Web Science Research Initiative, an AI Council Member and was named as one of the 100 Most Powerful Women in the UK by Woman’s Hour on BBC Radio 4.

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March 2025 GenAI Launches: Are We on The Brink of AGI?

Analytics Vidhya

March 2025 has been a pivotal month for Generative AI, with significant advancements propelling us closer to Artificial General Intelligence (AGI). From intelligent model releases like Gemini 2.5 Pro and ERNIE 4.5 to innovations in agentic AI with Manus AI, weve witnessed a rapid evolution in the AI landscape in the last month. All these […] The post March 2025 GenAI Launches: Are We on The Brink of AGI?

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Sourcetable Raises $4.3M to Launch the World’s First Self-Driving Spreadsheet, Powered by AI

Unite.AI

In a major leap forward for productivity software, Sourcetable has announced a $4.3 million seed round and the launch of what it calls the worlds first autonomous, AI-powered spreadsheet a “self-driving” experience that reimagines how humans interact with data. With backing from top investors including Bee Partners , Julien Chaumond (Hugging Face), Preston-Werner Ventures (GitHub co-founder), Roger Bamford (MongoDB), and James Beshara (Magic Mind), Sourcetable is taking aim at a pro

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Build agentic systems with CrewAI and Amazon Bedrock

Flipboard

This post is co-authored with Joao Moura and Tony Kipkemboi from CrewAI. The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25% of enterprises using generative AI will deploy AI agents, growing to 50% by 2027.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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A Beginners Guide to Using Visual Studio Code for Python

Marktechpost

Visual Studio Code (VSCode) is a powerful, free source-code editor that makes it easy to write and run Python code. This guide will walk you through setting up VSCode for Python development, step by step. Prerequisites Before we begin, make sure you have: Python installed on your computer An internet connection Basic familiarity with your computer’s operating system Step 1: Download and Install Visual Studio Code Windows, macOS, and Linux Go to the official VSCode website: [link] Click the

Python 111
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Amazon Nova Act: A step towards smarter, web-native AI agents

AI News

Amazon has introduced Nova Act, an advanced AI model engineered for smarter agents that can execute tasks within web browsers. While large language models popularised the concept of agents as tools that answer queries or retrieve information via methods such as Retrieval-Augmented Generation (RAG), Amazon envisions something more robust. The company defines agents not just as responders but as entities capable of performing tangible, multi-step tasks in diverse digital and physical environments.

Big Data 218
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ROUGE: Decoding the Quality of Machine-Generated Text

Analytics Vidhya

Imagine an AI that can write poetry, draft legal documents, or summarize complex research papersbut how do we truly measure its effectiveness? As Large Language Models (LLMs) blur the lines between human and machine-generated content, the quest for reliable evaluation metrics has become more critical than ever. Enter ROUGE (Recall-Oriented Understudy for Gisting Evaluation), a […] The post ROUGE: Decoding the Quality of Machine-Generated Text appeared first on Analytics Vidhya.

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Elon Musk’s DOGE Initiative: Can AI Decide Which Federal Jobs to Cut?

Unite.AI

Imagine a world where Artificial Intelligence (AI ) is not only driving cars or recognizing faces but also determining which government jobs are essential and which should be cut. This concept, once considered a distant possibility, is now being proposed by one of the most influential figures in technology, Elon Musk. Through his latest venture, the Department of Government Efficiency (DOGE) , Musk aims to revolutionize how the U.S. government operates by using AI to streamline federal operation

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Why do LLMs make stuff up? New research peers under the hood.

Flipboard

One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information , hallucinating answers that are not supported by its training data. From a human perspective, it can be hard to understand why these models don't simply say "I don't know" instead of making up some plausible-sounding nonsense.

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Enable Amazon Bedrock cross-Region inference in multi-account environments

AWS Machine Learning Blog

Amazon Bedrock cross-Region inference capability that provides organizations with flexibility to access foundation models (FMs) across AWS Regions while maintaining optimal performance and availability. However, some enterprises implement strict Regional access controls through service control policies (SCPs) or AWS Control Tower to adhere to compliance requirements, inadvertently blocking cross-Region inference functionality in Amazon Bedrock.

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Study claims OpenAI trains AI models on copyrighted data

AI News

A new study from the AI Disclosures Project has raised questions about the data OpenAI uses to train its large language models (LLMs). The research indicates the GPT-4o model from OpenAI demonstrates a “strong recognition” of paywalled and copyrighted data from O’Reilly Media books. The AI Disclosures Project, led by technologist Tim O’Reilly and economist Ilan Strauss, aims to address the potentially harmful societal impacts of AI’s commercialisation by advocating

OpenAI 171
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Chain of Draft Prompting with Gemini and Groq

Analytics Vidhya

Recent advancements in reasoning models, such as OpenAI’s o1 and DeepSeek R1, have propelled LLMs to achieve impressive performance through techniques like Chain of Thought (CoT). However, the verbose nature of CoT leads to increased computational costs and latency. A novel paper published by Zoom Communications presents a new prompting technique called Chain of Draft […] The post Chain of Draft Prompting with Gemini and Groq appeared first on Analytics Vidhya.

OpenAI 187
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Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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Less Is More: Why Retrieving Fewer Documents Can Improve AI Answers

Unite.AI

Retrieval-Augmented Generation (RAG) is an approach to building AI systems that combines a language model with an external knowledge source. In simple terms, the AI first searches for relevant documents (like articles or webpages) related to a users query, and then uses those documents to generate a more accurate answer. This method has been celebrated for helping large language models (LLMs) stay factual and reduce hallucinations by grounding their responses in real data.

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OpenAIs Studio Ghibli-inspired AI art provokes backlash across the internet

Flipboard

OpenAI released a new image generator this week, and AI -generated Studio Ghibli slop is now all over the internet. In the livestream demo of the native image generation in ChatGPT and Sora , OpenAI took a selfie and asked the new generator to turn it into an anime frame. The result looked a lot like art from a Studio Ghibli film. It went viral, despite some social media users pointing out the potential copyright violations.

OpenAI 163
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Harness the power of MCP servers with Amazon Bedrock Agents

AWS Machine Learning Blog

AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Amazon Bedrock Agents enables this functionality by orchestrating foundation models (FMs) with data sources, applications, and user inputs to complete goal-oriented tasks through API integration and knowledge base augmentation.

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AI streamlines budgeting, but human oversight essential

AI News

Research conducted by Vlerick Business School has discovered that in the area of AI financial planning, the technology consistently outperforms humans when allocating budgets with strategic guidelines in place. Businesses that use AI for budgeting processes experience substantial improvements in the accuracy and efficiency of budgeting plans compared to human decision-making.

Big Data 157
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The New CX: Your Guide to AI Agents

The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp

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Comprehensive Guide on Reranker for RAG

Analytics Vidhya

Retrieval Augmented Generation (RAG) systems are revolutionizing how we interact with information, but they’re only as good as the data they retrieve. Optimizing those retrieval results is where the reranker comes in. For instance, consider it as a quality control system for your search results, ensuring that only the most relevant information comes into the […] The post Comprehensive Guide on Reranker for RAG appeared first on Analytics Vidhya.

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AI is Rapidly Reshaping Brand Connectivity and Marketing

Unite.AI

Over the past three decades, the advertising and marketing industry has undergone a profound transformation, largely driven by advancements in artificial intelligence. Gone are the days of manually analyzing consumer data to crafting campaigns based on intuition; marketing has evolved into a highly sophisticated, data-driven discipline. AI has reshaped how brands connect with consumers, optimize performance, and measure success.

AI 165
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MCP: The new “USB-C for AI” that’s bringing fierce rivals together

Flipboard

What does it take to get OpenAI and Anthropictwo competitors in the AI assistant marketto get along? Despite a fundamental difference in direction that led Anthropic's founders to quit OpenAI in 2020 and later create the Claude AI assistant, a shared technical hurdle has now brought them together: How to easily connect their AI models to external data sources.

OpenAI 163