Cutting the noise. 🎯.Too many priorities = zero progress. Time to fix that. Current 📊.✅ 86/150 NeetCode.✅ 3/15 System Design (Alex Xu). Target by July 31:.🚀 112/150 NeetCode.🚀 15/15 System Design.Let's go! 💪#SystemDesign #LeetCode #LearnInPublic #FocusMode #buildinpublic.

8/8 This highlights the importance of understanding each model’s strengths when choosing the right AI tool for your specific needs. #AI #PromptEngineering #ChatGPT #Gemini #MachineLearning #AIInsights #LLM.

7/8 What are your thoughts on this behavior? . Have you observed similar patterns in model performance and prompt sensitivity?.

6/8 🤔 Key questions:.• Is ChatGPT’s transformer architecture better optimized for intent recognition?.• Are other models using more conservative inference strategies to avoid hallucinations?.• Do they have different optimization objectives?.

5/8 Other LLMs often need much more explicit instructions and structured input to deliver similar results. This suggests differences in:.• Training data processing.• Attention mechanisms• Fine-tuning approaches.

4/8 This isn’t a one-off! I’ve been noticing this pattern repeatedly across different use cases. ChatGPT demonstrates superior contextual inference and requires less detailed prompts to achieve desired outcomes.

3/8 ChatGPT’s interpretation: ✅ Got it right - created an email to Tripti to find the count of furniture in the email. Gemini’s interpretation: 🔄 Different angle - wrote an email asking Tripti to help count chairs and tables, treating it as a request for assistance.

2/8 What I expected: An email to Tripti listing the count of furniture items that would be included below in the email.

🧵 I’ve been testing various AI models with the same vague prompt, and the results are fascinating!. The prompt: “Write an email to Tripti saying please find the count of chairs and tables below in a sweet and human tone”. #LLM #AI #AIEngineering #GenAI.

RT @TheArnabSaha: Twitter isn’t social media. It’s a battlefield. Open the app:.— 18 y/o building a startup.— Someone just made $100K.— An….

🔧 Stack: React, API Gateway, Lambda, S3, MySQL, Amazon Bedrock, FAISS. 🚀 Future: Enhanced UX, auth, scalability!. #AIEngineering #AWS #Innovation #Lambda #CloudArchitecture #Startup #TechStartup #SaaS #AIStartup #Founders #BuildInPublic. #LeanStartup #GenerativeAI #RAG.

🧠 Cost-optimized design:.RAG + FAISS avoids sending full transcripts to LLM per query. Only relevant chunks used → Slashes token costs!.AWS Lambda’s pay-per-use = scalable + budget-friendly. #CostOptimization #LLM.

👉 Demo: 💡 Architecture Diagram Below:.Handles queries like: .• “When are TA office hours?” .• “Key points in Lecture 3?” .• “How to submit Project 2?” .• “Explain AWS Lambda architecture slides?” #GenAI

🚀I saw a common problem at most grad schools, TAs are always loaded with repetitive questions even after clear announcements. So I built an AI Lecture Assistant in just 1 week as an assignment for my Cloud Computing Course !. #BuildInPublic #GenerativeAI #RAG #AIEngineering.

RT @adxtya_jha: A man can only dream. Mac M4 Pro.A100 GPU workstation.Dual 4K monitors.Cursor Pro.Claude Opus + GPT-4.White Monster.Razer k….

RT @gautamkhatri05: From LC police team

🚀 LeetCode Daily Problem Explanation for July 10th! 🚀. #LeetCode #Coding #Programming #Algorithm #ProblemSolving #Tech #Developer #CodeNewbie #100DaysOfCode #Interviews #DSA #SDE #TechLife #CodeChallenges #TechTips 💻🔥

RT @ahuja_priyank: Salary doesn't make you rich. I've listed 49 passive income ideas to earn while your sleep. All you need is:.- Smartph….

RT @aeejazkhan: Is this true

📈 Complexity:.Time complexity: O(n).O(n), where n is the length of the array. We traverse the array once. Space complexity: O(min(n,k)).O(min(n,k)), as the hash map stores at most k different remainders or n if all remainders are unique.