Babul Prasad
@babul_saas_ai
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SAAS AI Innovator & Entrepreneur
Greater Noida
Joined December 2023
Students are picking up skills faster than ever through AI powered course platforms. If you’re into AI learning, micro courses are the easiest way to upgrade without burning out. Read the full take here: https://t.co/dds3RFY0dn
#AI #elearningtech #edtech
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Finally, a practical, open project structure for building AI agents! Better Agents is a CLI tool and standards kit for building production-ready agent projects. Most agentic projects start without a real structure. Testing, evaluation, and prompt versioning get added only when
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ChatGPT, Claude, Gemini, Perplexity… They’re not just tools. They’re the new search engines. (I saw this post from Ume Laila and had to share!) And they’re already stealing clicks from Google while pulling answers directly from brands that prepared early. If your brand isn’t
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Most people confuse AI Agents with Agentic AI Systems! But they’re not the same. 👉 AI Agent = single-task executor User → Agent → Task → Output 👉 Agentic AI System = goal achiever Goal → Planner ↔ Executor ↔ Memory + Environment When to use which? ✅ AI Agent →
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ChatGPT’s Deep Research mode is a goldmine. It turns basic questions into expert insights. With Deep Research, ChatGPT can think, compare, and analyze market trends in minutes. Here are 10 powerful use-cases (prompts included ⬇️). [ 🔖 bookmark this thread for later ]
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If you want to crack interviews, you MUST master System Design. Most candidates practice random problems… Top companies ask very specific ones. This cheatsheet brings together 35 real system design questions asked at companies like Google, Meta, Amazon, Uber, Netflix, Stripe,
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If you want to get started with system design (in 2026), learn these 20 concepts:
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The future of database search is agentic. Here's what that means: Most search systems follow predetermined patterns - you write a query, it searches, done. But Query Agents do it completely differently. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗤𝘂𝗲𝗿𝘆 𝗔𝗴𝗲𝗻𝘁? A query agent is an AI system that
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Bigger context windows won't save your LLM app. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 is the discipline of designing the architecture that feeds an LLM the right information at the right time. It's not about changing the model itself, but about building the bridges that connect
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If you’re in AI, EdTech, or online teaching, this shift is a goldmine. Independent educators are scaling. Students are learning faster. Institutes are cutting chaos. Read more: https://t.co/IaLW1phOas
#EdTech #AI
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𝗛𝗧𝗧𝗣 𝘃𝘀 𝗛𝗧𝗧𝗣𝗦: 𝗪𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲? The difference is encryption. HTTP sends data in plain text. HTTPS wraps that data in TLS encryption. When you visit a site over HTTP, anyone monitoring the network can read everything: passwords, credit card
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Grok 4 Prompting Guide on one page Ready-to-use prompts for strategy, learning, creativity and agent workflows. Use it to: • Plan businesses and go-to-market • Simplify complex topics • Write faster, better content and more [Bookmark for later]
BREAKING: You can now create your own Santa video for FREE If you want the ultimate holiday flex this year… don’t send a Christmas card. ❌ Send a personalized talking Santa video. 🎅🏻 I tried @synthesiaIO’s AI Santa and it’s honestly wild: Pick a Santa → type a message →
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The hardest part of building AI agents isn't teaching them to remember. It's teaching them to forget. My colleague and amazingly talented writer @helloiamleonie just published what might be the most comprehensive breakdown of agent memory I've seen - and trust me, we all needed
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OpenAI literally dropped the ultimate masterclass in prompting. Hope it's useful.
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Context Data Platform for Self-Learning Agents! Acontext is an open source context data platform that simplifies context engineering by letting agents remember what they did, what worked, and what they learned. Instead of resetting every session, it captures conversations,
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Prompt Caching 101 > be ml engineer > inference has 2 stages: Prefill (compute) & Decode (memory) > traditional KV caches waste VRAM with contiguous blocks > vLLM solves this using PagedAttention (OS-style paging) > Prompts are split into fixed-size, non-contiguous blocks >
prompt caching is the most bang for buck optimisation you can do for your LLM based workflows and agents. in this post, i cover tips to hit the prompt cache more consistently and how it works under the hood (probably the first such resource) https://t.co/0zi6sBCvU2
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Most people learn data engineering the hard way… by drowning in jargon they’ve never heard before. But here’s the truth no one tells you: Data engineering isn’t hard because of the tools, it’s hard because of the terminology. Once you understand the words, you finally
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