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Category: Artificial Intelligence
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SMART INVESTING INDIA | INVESTMENT RESEARCH & ANALYSIS | NOVEMBER 2026 The global artificial intelligence narrative has largely been dictated by Silicon Valley hyper-scalers with deep pockets and English-centric foundation
🧠 China’s AI Revolution: What Investors Can Learn From DeepSeek’s Disruption 🇨🇳🚀🧠 China’s AI Revolution: What Investors Can Learn From DeepSeek’s Disruption 🇨🇳🚀
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Stop Asking AI to Agree With You: How Adversarial Prompts Can Improve Your Investment DecisionsStop Asking AI to Agree With You: How Adversarial Prompts Can Improve Your Investment Decisions
AI can analyze a company in seconds. It can summarize annual reports, compare competitors, explain financial ratios, identify risks, examine valuations, and generate detailed investment theses. But there is a
How to Use AI to Analyze Annual Reports (India Investor Guide)How to Use AI to Analyze Annual Reports (India Investor Guide)
A large Indian company’s annual report can run into hundreds of pages. Buried inside those pages are the numbers, disclosures and management statements that can determine whether a business is
AI Hallucinations Explained: Why AI Makes Things Up — and Why Investors Should CareAI Hallucinations Explained: Why AI Makes Things Up — and Why Investors Should Care
AI can write remarkably convincing answers in seconds. It can analyse companies, explain financial concepts, summarise annual reports and even generate investment research. But there is a catch: AI can
One-Shot and Few-Shot Prompting for Investors: How to Teach AI Your Investment Framework 🤖📊One-Shot and Few-Shot Prompting for Investors: How to Teach AI Your Investment Framework 🤖📊
What if, instead of simply telling AI what you want, you could show it what a good answer looks like? That is the basic idea behind one-shot and few-shot prompting.
How to Use XML Tags in AI Prompts: A Practical Guide to Better AI Responses 🤖💡How to Use XML Tags in AI Prompts: A Practical Guide to Better AI Responses 🤖💡
A good AI prompt is not just a question. It is a structured set of instructions that tells the model what to do, what information to use, what to avoid,