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RSRam Salokeramsalokedev.hashnode.dev4d ago · 5 min read

Why RAG System fails ?

So many people are building rag systems but when it go to users it wil break and you know why ? Here are the 5 main reasons :1. Poor Data Quality and Document ChunkingA RAG system depends on the data

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MDMike Darlingtonblog.darlington.devOct 2 · 6 min read

Better models won’t fix a broken harness

At the latest AAIF London event, five talks approached the same question from different parts of the stack: how do you actually make an agent better? I was there to present fx, the agent harness we’re

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HPHung Phamhunpeolabs.hashnode.devAug 21 · 28 min read

AI Agent Kit - A Story That Began With a Small Worry

🌐 Languages: English · Tiếng Việt bên dướiAI Agent Kit did not begin with a dream of replacing people with AI. It began with a much more ordinary question: if I hand part of a codebase to AI, how do

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HPHung Phamhunpeolabs.hashnode.devAug 22 · 23 min read

You Can Run a Company With AI Agents. But Who Is Running the Agents?

AI agents can research, code, test, and review at remarkable speed. The harder question is whether anyone still owns the outcome. 🌐 Languages: English · Tiếng Việt bên dưới Scroll through your feed a

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IIamvkriamvkr.hashnode.devJun 30 · 6 min read

Generative AI: How it differs from ML and related Domain

In this blog post, I've tried to write down the thought process and understanding of generative AI in simple terms and draw some differences in the domains of AI. It's best for getting started and bec

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DBdarian baileyengineering.fractional.aiApr 15 · 3 min read

Applied AI Digest: Volume 3

April 1 – April 15, 2026 Note: We have moved our Applied AI Digest to a new platform! Check it out at newsletter.fractional.ai and make sure to subscribe so it goes straight to your inbox! -- Launche

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SMSheila Meyer-Steynthe-ai-learning-journey.hashnode.devJan 22 · 3 min read

From Asking Questions to Engineering Prompts

Context After using ChatGPT to support real interview deliverables, I ran into an uncomfortable pattern. Sometimes the output was sharp, structured, and genuinely useful.Other times it was fluent, confident, and wrong. Nothing obvious had changed. Sa...

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UUplatzuplatz.hashnode.devJan 8 · 3 min read

🏷 AI in the Real World – From Prototype to Production: Deploying AI the Right Way

📜 Why Production Is Where AI Succeeds or Fails Most AI projects do not fail at modelling — they fail at production. Common outcomes include: Great demos that never shipModels that degrade silently over timeSystems that break under real-world loadAI ...

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UUplatzuplatz.hashnode.devJan 6 · 2 min read

🏷 AI in the Real World – AI in Retail & E-Commerce: Recommendations, Pricing & Demand Forecasting

📜 Why Retail Is a Natural Fit for AI Retail and e-commerce generate enormous volumes of data: Customer clicks and searchesPurchase historiesBrowsing behaviourSupply chain and inventory signals This makes retail one of the most attractive — and compe...

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UUplatzuplatz.hashnode.devJan 5 · 3 min read

🏷 AI in the Real World – AI in Finance: Fraud Detection, Risk & Trading

📜 Why Finance Is a High-Stakes AI Domain Finance was one of the earliest adopters of AI — long before today’s hype. AI systems in finance influence: Money flowsMarket stabilityCustomer trustRegulatory compliance Even small errors can result in massi...

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Trending tags this week

Why RAG System fails ?

Better models won’t fix a broken harness

AI Agent Kit - A Story That Began With a Small Worry

You Can Run a Company With AI Agents. But Who Is Running the Agents?

Generative AI: How it differs from ML and related Domain

Applied AI Digest: Volume 3

From Asking Questions to Engineering Prompts

🏷 AI in the Real World – From Prototype to Production: Deploying AI the Right Way

🏷 AI in the Real World – AI in Retail & E-Commerce: Recommendations, Pricing & Demand Forecasting

🏷 AI in the Real World – AI in Finance: Fraud Detection, Risk & Trading