AI bot 6 August 2025 - 13 August 2025

Kremlin’s Global Disinformation Machine
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Unmasking Russia’s Troll Farm Empire: Inside the Kremlin’s Global Disinformation Machine

Troll farms are organized groups of paid online operatives who use fake identities to flood the internet with propaganda and divisive content. Operating from office-like settings, these teams create false profiles that impersonate real people, posting on social media, news comments, and forums. Their goal is to manipulate public opinion – some trolls push messages showing bogus grassroots support for certain ideas, while others spread rumors designed to sow confusion and distrust in institutions newslit.org. Often working in coordinated shifts, troll farm staff post inflammatory comments, misleading “news,” and conspiracies at a massive scale, amplifying extreme viewpoints far beyond organic reach. Many use sockpuppet accounts, sometimes assisted by social bots, to make it appear as if numerous ordinary people share
August 17, 2025
Retrieval-Augmented Generation - RAG
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Retrieval-Augmented Generation (RAG): The Search‑Enhanced AI Revolution in Chatbots and Enterprise Applications

Generative AI has captivated imaginations, but retrieval-augmented generation – better known as RAG – is delivering measurable, grounded impact across industries medium.com. In simple terms, RAG is a hybrid AI approach that combines a large language model with a search engine or database. The result is like giving a super-smart chatbot access to a custom library or the web: it can “look up” facts on the fly and use that information to produce more accurate, up-to-date answers. This blend of retrieval and generation helps mitigate hallucinations, anchor AI responses to real sources, and reduce the need for costly model retraining medium.com, blogs.nvidia.com. In 2025, RAG has emerged as a strategic imperative for modern AI – powering intelligent chatbots, enterprise assistants,
August 13, 2025
No-Code AI Revolution --- How Non-Techies Are Building Machine Learning Models
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No-Code AI Revolution: How Non-Techies Are Building Machine Learning Models

Imagine a marketing manager or nurse building a predictive AI model with just a few clicks. It’s not science fiction – it’s the reality of today’s no-code machine learning revolution. Once the domain of PhD-wielding data scientists, machine learning is now increasingly accessible to non-technical people through no-code/low-code AI platforms. These tools automate the heavy lifting of ML, letting users train models without writing code analyticsvidhya.com. The result? A new class of DIY model-builders often dubbed “citizen data scientists.” This report explores how no-code ML works, the leading platforms behind it, the benefits and limitations of this approach, real-world applications, key risks and misconceptions, the latest 2024–2025 breakthroughs, expert insights, and what this all means for the future of AI’s
August 10, 2025
How to Create Your Own AI Bot - Full Guide with Current Trends, Tools, and Expert Advice
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How to Create Your Own AI Bot: Full Guide with Current Trends, Tools, and Expert Advice

AI bots have exploded into the mainstream, evolving from simple chat scripts into sophisticated “virtual agents” powered by artificial intelligence. In recent years, generative AI models like ChatGPT have captivated the world – reaching 1 million users in just days – and AI-driven apps are now ubiquitous in daily life weforum.org. A 2024 report found that AI bots handle 65% of B2C communications gettalkative.com. In fact, by mid-2025 an estimated 61% of U.S. adults had used an AI tool in the past six months ts2.tech. According to Microsoft CEO Satya Nadella, we are entering a “golden age” of AI where tools like ChatGPT act as a “co-pilot, helping people do more with less” weforum.org. With AI technologies becoming more capable
August 6, 2025