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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
Why are AI chatbots so intelligentcapable of understanding complex ideas, crafting surprisingly good short stories, and intuitively grasping what users mean? The truth is, we dont fully know. Large language models think in ways that dont look very human. Their outputs are formed from billions of mathematical signals bouncing through layers of neural networks powered by computers of unprecedented power and speed, and most of that activity remains invisible or inscrutable to AI researchers.
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.
Building a RAG (Retrieval-Augmented Generation) application isnt just about plugging in a few toolsits about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Lets say youre working on something like Smart Chat with PDFan AI app that lets users interact with PDFs conversationally. Its not as simple […] The post A Comprehensive Guide to RAG Developer Stack appeared first on Analytics Vidhya.
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
Midjourney has announced the alpha release of its V7 image generation model for testing by the AI community. The new model packs improvements in text prompt understanding, image quality, and feature coherence. V7 is an amazing model. Its much smarter with text prompts, image prompts look fantastic, image quality is noticeably higher with beautiful textures, and bodies, hands, and objects of all kinds have significantly better coherence on all details, Midjourney explained.
After The New York Times sued OpenAI in December 2023alleging that ChatGPT outputs violate copyrights by regurgitating news articlesthe ChatGPT maker tried and failed to argue that the claims were time-barred. According to OpenAI, the NYT should have known that ChatGPT was being trained on its articles and raised its lawsuit in 2020, partly because of the newspaper's own reporting.
After The New York Times sued OpenAI in December 2023alleging that ChatGPT outputs violate copyrights by regurgitating news articlesthe ChatGPT maker tried and failed to argue that the claims were time-barred. According to OpenAI, the NYT should have known that ChatGPT was being trained on its articles and raised its lawsuit in 2020, partly because of the newspaper's own reporting.
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
Imagine you have a single photograph of a person and wish to see them come alive in a video, moving and expressing emotions naturally. ByteDance’s latest AI-powered model, DreamActor-M1, makes this possible by transforming static images into dynamic, realistic animations. This article explores how DreamActor-M1 works, its technical design, and the important ethical considerations that […] The post ByteDance’s DreamActor-M1 Turns Photos into Videos appeared first on Analytics Vi
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.
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.
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.
Large language models (LLMs) like Claude have changed the way we use technology. They power tools like chatbots, help write essays and even create poetry. But despite their amazing abilities, these models are still a mystery in many ways. People often call them a “black box” because we can see what they say but not how they figure it out.
Fine-tuning large language models is no small featit demands high-performance GPUs, vast computational resources, and often, a wallet-draining budget. But what if you could get the same powerful infrastructure for a fraction of the cost? Thats where affordable cloud platforms come in. Instead of paying premium rates on AWS, Google Cloud, or Azure, smart AI […] The post 5 Affordable Cloud Platforms for Fine-tuning LLMs appeared first on Analytics Vidhya.
Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familiar with the matter. The Alibaba-owned company has used chips from domestic suppliers, including those tied to its parent, Alibaba , and Huawei Technologies to train large language models using the Mixture of Experts (MoE) method.
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.
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.
Cloud usage continues to soar, as do its associated costs particularly, of late, those driven by AI. Gartner analysts predict worldwide end-user spending on public cloud services will swell to $723.4 billion in 2025 , up from just under $600 billion in 2024. And 70% of executives surveyed in an IBM report cited generative AI as a critical driver of this increase.
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?
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.
Introduction Software engineering stands at an inflection point. While previous technological shifts enhanced what developers could build, AI is fundamentally changing how we build. Amazon Q has driven a shift in how developers at Amazon approach software development.
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
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
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?
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.
Foundation models (FMs) and generative AI are transforming enterprise operations across industries. McKinsey & Companys recent research estimates generative AI could contribute up to $4.4 trillion annually to the global economy through enhanced operational efficiency, productivity growth of 0.1% to 0.6% annually, improved customer experience through personalized interactions, and accelerated digital transformation.
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.
The greatest barrier to AI adoption isn't technologyit's education. While organizations scramble to implement the latest large language models (LLMs) and generative AI tools, a profound gap is emerging between our technological capabilities and our workforce's ability to effectively leverage them. This isn't just about technical training; it's about reimagining learning in the AI era.
Text generation models are exceptional tools for both research purposes and applications. One of their strengths is their capabilities, which come from their architecture, training, and large datasets. These features shape how these models work. TeapotAIs open-source model is a good example of a model that stands out with its work in TeapotLLM. This is […] The post Try TeapotLLM for Reliable Q&A, RAG, and Info Extraction appeared first on Analytics Vidhya.
Kay Firth-Butterfield is a globally recognised leader in ethical artificial intelligence and a distinguished AI ethics speaker. As the former Head of AI and Machine Learning at the World Economic Forum (WEF) and one of the foremost voices in AI governance, she has spent her career advocating for technology that enhances, rather than harms, society. We spoke to Kay to discuss the promise and pitfalls of generative AI, the future of the Metaverse, and how organisations can prepare for a decade of
The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element from system and chip design to a custom GPU, APIs and world-class development tools the Nintendo Switch 2 brings major upgrades.
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.
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
With the multimodal space expanding rapidly, thanks to models like Runways Gen-4, OpenAIs Sora, and some quietly impressive video synthesis efforts by ByteDance, it was only a matter of time before Meta AI joined the bandwagon. And now, they have. Meta has released a research paper along with demo examples of their new video generation […] The post MoCha: Metas Movie-Grade Leap in Talking Character Synthesis appeared first on Analytics Vidhya.
The Tony Blair Institute (TBI) has released a report calling for the UK to lead in navigating the complex intersection of arts and AI. According to the report, titled Rebooting Copyright: How the UK Can Be a Global Leader in the Arts and AI, the global race for cultural and technological leadership is still up for grabs, and the UK has a golden opportunity to take the lead.
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