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Varun Jain Profile
Varun Jain

@varunjainnn

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23
Following
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1K

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Joined August 2022
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@Hesamation
ℏεsam
1 day
she actually summarized everything you must know from the “AI Engineering” book in 76 minutes. if you don’t got the time to read the book, you need to watch this. foundational models, evaluation, prompt engineering, RAG, memory, fine-tuning and many more. great starting point.
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@EzzyUTD
Ezzy
28 days
This game sold me too many dreams man, we should’ve won multiple trophies with this amount of quality.
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@IndiaWarMonitor
IndiaWarMonitor
1 month
Breaking: 🚨 ISI Recruiting 300-400 Indian Influencers for Espionage and Propaganda, Reveals Intelligence Bureau.
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@livingdevops
Akhilesh Mishra
1 month
Stop memorizing every AWS service. You only need these 11 to run production workloads: Networking: VPC - your private cloud network ALB - traffic distribution across servers Route53 - DNS and domain management Compute: EC2 - virtual servers ECS - Docker container
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@varunjainnn
Varun Jain
1 month
Time for bruno to leave man united in winter transfer window, if @ManUtd are serious🤐🤐
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@SumitM_X
SumitM
2 months
As a backend architect , these are 10 things that you should learn.
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@_avichawla
Avi Chawla
2 months
95% of enterprise AI projects don't reach production. MIT’s 2025 report revealed it. Here's what the remaining 5% do differently:
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@Franc0Fernand0
Fernando
2 months
If you want to improve your skills as a senior software engineer, read these 12 curated articles: ↓
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@TheAhmadOsman
Ahmad
2 months
any cs person can go from zero to deeply knowledgeable in llms and ai in ~2 years, top to bottom key topics on how llms work: > tokenization and embeddings > positional embeddings (absolute, rope, alibi) > self attention and multihead attention > transformers > qkv > sampling
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@aryanXmahajan
Aryan Mahajan
2 months
Nano banana + n8n + Claude = AI Ad Factory This system pumps out TikTok/FB/IG static ads on autopilot using Google's new image model... - No writers. - No strategists. - No $15K+ monthly content teams. Just endless, high-converting content at scale. Perfect for e-comm
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@UnitedAlex7
𝐀𝐥𝐞𝐱 ✯
2 months
Antony 🐐
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@JuwonTheTechie
Jay
2 months
1️⃣ Join AWS Educate → https://t.co/p0S4FE90gg 2️⃣ Learn on Skill Builder → https://t.co/d9ZgxSkeG7 3️⃣ Pass the practice test (70%+) 4️⃣ Redeem your free exam voucher Tag a friend who needs this or repost to spread the word!
Tweet card summary image
skillbuilder.aws
AWS Skill Builder is an online learning center where you can learn from AWS experts and build cloud skills online. With access to 600+ free courses, certification exam prep, and training that allows...
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@heyrimsha
Rimsha Bhardwaj
3 months
Forget YouTube. Forget courses. Here are 8 ChatGPT prompts that helped me learn faster than ever before:
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@heygurisingh
Guri Singh
3 months
Google Gemini has a new feature "Guided Learning" — an AI tutor that actually teaches you step-by-step. Learn anything faster with checks, quizzes, and visuals. Here’s how + pro tips 👇
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@mdancho84
🔥 Matt Dancho (Business Science) 🔥
3 months
RIP Data Scientists. The Generative AI Data Scientist is NOW what companies want. This is actually good news. Let me explain:
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@akshay_pachaar
Akshay 🚀
3 months
I switched to AI Engineering 2 years ago! It was the best career move I ever made. If you want to start today, here's a roadmap:
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@heyDhavall
Dhaval Makwana
5 months
These 5 prompt frameworks will make you a ChatGPT prompting expert: ----- Try Bind AI now: https://t.co/lZJV2l8zpq
@heyDhavall
Dhaval Makwana
5 months
BREAKING: This $18 AI IDE writes, edits, and runs your code, all from your browser. No setup. No installs. Just describe your app, and watch it come to life. It even ships full-stack projects with one prompt. Here’s why every builder is switching to Bind AI: 🧵
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@varunjainnn
Varun Jain
3 months
I have developed a langgraph agent using redis, mcp tools and langsmith, langfuse for monitoring. Now i want to the agent, is there any automation or evals tool for it. @LangChainAI
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@goyalshaliniuk
Shalini Goyal
3 months
Building a GenAI App? Here’s Your LLM Burger Stack! Just like a burger needs every layer to be delicious, a powerful LLM application needs each part to work together, from user interface to model intelligence. Let’s break it down layer by layer: 1. Infrastructure Layer (Bottom
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