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You’re wasting most of your AI tokens. 1. Rtk - lightweight cli proxy that compresses terminal logs before they reach LLM β€” cutting token usage by 60-90% on common dev commands. 2. Caveman - It com
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This is a hands-on, learner-focused learning journey where you’ll build an end-to-end research assistant that can automatically retrieve academic papers, understand their content, and answer research
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1️⃣ Memory is super important for agents to keep track of things, learn, and personalize interactions. 2️⃣ Conversational AI relies on both short-term memory for immediate context within a single cha
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Comment β€œtrick” & I got you πŸ™Œ 1. Use Prompt Templates LLMs perform better with clear structure. Example: β€œYou are a helpful AI assistant. Task: Summarize the text Tone: Professional Length: 3 bulle
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Ever wondered how apps like Zepto, Uber, or Flipkart show your delivery agent moving live on the map β€” without refreshing the app?πŸ“ Here’s what actually happens behind the scenes πŸ‘‡ 1️⃣ The deliver
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Comment β€œlink” to get the PDF πŸš€ Super curation by Hao Hoang πŸ™Œ 🏷️ LLM interview questions, AI engineering, AI interview questions, Data science interviews, LLM questions, tech interviews, AI syste
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Most people building RAG apps bet everything on vector search. β€œEmbeddings understand meaning… that’s enough.” Then real users show up and break it: β€œWhy can’t it find error code DB-7781?” β€œI search
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You’re not using Claude to its full potential 🫡 1. CLAUDE.md (Team file) β€’ Lives in your project folder β€’ Shared with your team (committed to Git) β€’ Tells Claude how this project works πŸ‘‰ Use it
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Comment β€œinterview” to get the PDF πŸš€ Super curation by Hao Hoang πŸ™Œ 🏷️ LLM interview questions, AI engineering, AI interview questions, Data science interviews, LLM questions, tech interviews Fo
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πŸš€ 3 Python libraries every LLM engineer must know (beyond the hype): Everyone’s busy prompt engineering. Meanwhile, your app is: ❌ Timing out ❌ Returning garbage JSON ❌ Failing when one API goes do
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Pandas is not slow. Your code is. Here’s what’s secretly killing your performance. πŸ‘‡ 1. You Loaded All Columns πŸ‘‰ Don’t do pd.read_csv(β€˜really_huge_file.csv’) blindly. Use the usecols parameter to
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Mem0 is the missing layer most AI apps need. Save this - you’ll need it. Most AI agents sound smart… But forget everything after each chat. No context. No personalization. No continuity. Mem0 fixes
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About @techviz_thedatascienceguy

TechViz - The Data Science Guy is a verified Instagram nano influencer in the Science & Tech category. With 9.7K followers and 12 posts, techviz_thedatascienceguy's account shows a follower-to-following ratio of 1076.2:1. View all content anonymously on Pictame - no login required.

techviz_thedatascienceguy's engagement rate sits at 2.33%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow β€” though every community is unique.

Out of the last 12 posts, 100% are videos and 0% are photos. New content goes up pretty much every day β€” a very consistent posting habit. Captions lean detailed, averaging 956 characters.

2.33% engagement rate β€” room to grow compared to average for 1K-10K follower accounts.
Posts every day β€” very consistent.
1076.2:1 follower-to-following ratio.

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techviz_thedatascienceguy
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@techviz_thedatascienceguy

TechViz - The Data Science Guy

PublicScience & Tech
Posts
12
Top Hashtags
#learnai#ai#genai#llms#agenticai#aiagents#datasciencejobs#freshers

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