datasciencewithsam👨‍💻🔰

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datasciencewithsam👨‍💻🔰

datasciencewithsam👨‍💻🔰

@samdey87

Data Scientist 🇮🇳 🇺🇸 | 💻geek | YouTuber | UIUC alumni | Red Devil 🇾🇪 , love travelling ✈️🚄⛴️ 📸 | chasing my dream every day!

Denver, CO Katılım Mart 2016
671 Takip Edilen140 Takipçiler
datasciencewithsam👨‍💻🔰 retweetledi
Colorado Avalanche
Colorado Avalanche@Avalanche·
WESTERN CONFERENCE FINAL BOUND‼️
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datasciencewithsam👨‍💻🔰
𝑪𝒂𝒏 𝒚𝒐𝒖 𝒂𝒄𝒕𝒖𝒂𝒍𝒍𝒚 𝒆𝒏𝒈𝒊𝒏𝒆𝒆𝒓 𝑨𝑰 𝒕𝒐 𝒃𝒆 𝒓𝒆𝒍𝒊𝒂𝒃𝒍𝒆, 𝒔𝒂𝒇𝒆, 𝒂𝒏𝒅 𝒕𝒓𝒖𝒔𝒕𝒘𝒐𝒓𝒕𝒉𝒚 𝒂𝒕 𝒔𝒄𝒂𝒍𝒆? That’s what this reel is about which highlights 3 pillars of AI Engineering: ⚙️ Performance Engineering 🛡️ Safety Engineering 🔍 Trust Engineering AI hallucinations aren’t random bugs. They’re structural risks baked into how models are built. Engineers are now designing systems that think out loud - so we can monitor, catch, and correct. The next frontier of AI won’t be measured in parameter counts. #AIEngineering #AI #AIleadership
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datasciencewithsam👨‍💻🔰 retweetledi
Colorado Avalanche
Colorado Avalanche@Avalanche·
Fought for this.
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datasciencewithsam👨‍💻🔰
@Replit turned 10 🎂 and gave away their AI agent for FREE. I said… challenge accepted. 🏎️ Meet PITLANE - my @F1 dashboard app, built in ONE day. 🏁 Live race sessions ⚡ Real-time lap times & tyre data 🏆 Championship standings 🤖 AI-powered race predictor 📖 Driver & team encyclopedia 📊 F1 history back to 1950 🎮 GPS telemetry replay of real 2024 races This app lived in my head for YEARS. Limited time. Limited web dev skills. One free AI agent later? It’s real. ✅ That’s the power of agentic AI! It doesn’t replace what you know. It finally lets you build what you know. 💡 📌 Check comments section for GitHub repo #Replit10 #F1
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datasciencewithsam👨‍💻🔰
🌟 Humbled and overjoyed to continue receiving the People’s Choice badge on topmate.io! This recognition means the world to me as it comes directly from you - my amazing community. Every booking, every session, and every interaction has contributed to this moment. 𝐖𝐡𝐲 𝐈’𝐦 𝐩𝐚𝐬𝐬𝐢𝐨𝐧𝐚𝐭𝐞 𝐚𝐛𝐨𝐮𝐭 𝐦𝐞𝐧𝐭𝐨𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐀𝐈: 💡 Watching someone’s “aha moment” when they finally understand neural networks or master their first machine learning model - there’s nothing quite like it! 🚀 The field is evolving in the midst of GenAI so rapidly that fresh perspectives from newcomers often challenge my own thinking and keep me sharp 🌱 Every mentee brings unique problems from different industries, pushing me to explore new applications of AI I might never have considered 🤝 There’s something magical about being part of someone’s transformation from “I don’t understand Python” to “I just built my first recommendation system!” 𝐓𝐡𝐞 𝐛𝐞𝐬𝐭 𝐩𝐚𝐫𝐭? Learning is never one-sided. While I share technical knowledge and industry insights, my mentees teach me about emerging trends, creative problem-solving approaches, and remind me why I fell in love with data science in the first place. To everyone considering a career pivot into AI/Data Science: Your diverse background is your superpower, not a limitation. The field needs people who think differently. Thank you for your continuous support, engagement, and trust. This badge represents countless hours of meaningful connections and shared learning experiences. Here’s to many more sessions of growth and discovery together! #DataScience #AI #Mentoring #CommunityLove #TopmateCreator #PeopleChoice #MachineLearning #CareerGrowth #TechMentorship #GrowthMindset
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datasciencewithsam👨‍💻🔰 retweetledi
Spirit Airlines
Spirit Airlines@SpiritAirlines·
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datasciencewithsam👨‍💻🔰 retweetledi
Colorado Avalanche
Colorado Avalanche@Avalanche·
We're playing to advance. They're playing to survive. Game Four 🔜
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Andrej Karpathy
Andrej Karpathy@karpathy·
New 3h31m video on YouTube: "Deep Dive into LLMs like ChatGPT" This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications. We cover all the major stages: 1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples 2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence 3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF. I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming. (Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security) Hope it's fun & useful! youtube.com/watch?v=7xTGNN…
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datasciencewithsam👨‍💻🔰
It was great co-hosting Denver AI’s April meetup at @UofDenver campus. A room full of AI enthusiasts witness 7 AI adoption journeys shared by the presenters. 📍Join us at our next meetup. Link below👇
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