CoffeeAndCompile
@coffeendcompile
☕️ Fueling code with caffeine | 🌌 Wanderer in the digital cosmos | 🚀 Navigating the AI, ML & DL landscape | Sharing byte-sized brilliance | #CoffeeAndCompile
🚀Welcome to CoffeeAndCompile!☕️ Here, I’ll be sharing daily updates on my journey through machine learning—what I’m learning, what I’ve learned, and insights along the way. Stay tuned for tech tips, ML breakthroughs, and more!🌟 #MachineLearning #LearningJourney #DataScience #AI
☕ Brewing some agent frameworks: LangChain, LlamaIndex → knowledge/LLM agents AutoGPT, BabyAGI → autonomous agents Rasa → chatbot agents OpenAI Gym, Unity ML-Agents → simulated training grounds Which brew do you prefer? #CoffeeAndCompile #AIAgents #Tech #AI #GenAI
Prompt engineering isn’t just texting ChatGPT like it’s your buddy. It’s the art of crafting markdown, clear, concise, with bold highlights, smart variables, and laser focus. It’s not chatting. It’s caffeinated coding for language models. 🔥 #CoffeeAndCompile #PromptEngineering
Everyone thinks AI agents run on some secret, espresso-powered hardware brewed by genius engineers. ☕ Truth? Most are just cleverly crafted prompt recipes sent to an LLM — no magic machines, just prompt engineering with extra foam. #CoffeeAndCompile #AIagents #PromptEngineering
Hey brew-tiful people! ☕ I’ve been a bit MIA (Missing in Algorithms), but that’s about to change. Starting tomorrow, it’s back to your regularly scheduled shots of caffeine-fueled tech content. Stay jittery, stay tuned! 💻🔥 #CoffeeAndCompile #coffee #Tech
🚨BREAKING: The world's first agentic browser just launched and it’s INSANE! This AI browser doesn’t just help you browse, it does the browsing for you. SPOILER: Googe chrome is now behind. Here’s how it works:
Day 3-b of #DataGrind: Surveys, the coffee filter of data collection! ☕ You brew up questions, but misinformation & lack of responses can lead to a weak cup, resulting in a badly trained model, that’s bitter for business! Sadly, it's still the go-to brew. #DataScience #AI #Tech
Day 3 of #DataGrind: Data Collection, the espresso shot of any model☕ It's the most time-consuming, yet crucial, step for your model to work properly. Whether you're brewing surveys or scraping the web,you'll need thousands of beans (data points) to fuel your analysis!#Data #AI
Day 2 of #DataGrind: Data powers machines. No data, no business. If we stop collecting it, efficiency goes out the window. But collecting data? That's the real grind—more on that next! Now, back to my caffeine-fueled daydream of data chaos. ☕ #DataScience #CaffeineRush #Data
Day 13 of #CaffeineAndCodeRush ☕🤖: Scikit-learn is like the espresso of libraries for data scientists. You can scale, normalize, and whip up models like linear regression in no time! It's preprocessing made easy, like instant coffee for your data grind. ☕#DataScience #Python
Day 1 of #DataGrind☕️: Why’s data the new sugar rush? Because the web runs on it! Data-digital coffee grounds: raw, unfiltered, but full of flavor. From Zuck to startups, everyone’s sipping on data’s power. I’ll brew data secrets here. #DataScience #TechBrew #StayCaffeinated
Day 12 of #CaffeineAndCodeRush ☕🤖: Ever feel like your caffeine buzz wears off just writing that long linear regression code? No worries! With scikit-learn, you can do it all in one line. More on that in the next posts—stay caffeinated! #MachineLearning #Python #DataScience
Day 11 of #CaffeineAndCodeRush ☕🤖: Today’s code grind! First, we calculate the cost function, then compute the tiny tweaks to its parameters. Finally, we update those parameters by subtracting the product of learning rate and the tweak. viola prediction #ML #Coding #Coffee #AI
Day 10 of #CaffeineAndCodeRush☕🤖: Today’s brew is all about learning rate! Too much caffeine (learning rate) can make you jittery—just like a high learning rate that skips the minimum. Too little, and you’re sipping at a snail’s pace. Next? Code of all we’ve learned!#ML #Math
That's why study ML 🫥
Day 9 of #CaffeineAndCodeRush☕🤖: Today’s grind: gradient descent! Pick w, follow the tangent(derivative), and let it drip to the lowest point. We use a learning rate(alpha) to speed things up and adjust biases. Choosing alpha? Tomorrow! Stay caffeinated! #ML #Math #Coffee #Data
Day 8 of #CaffeineAndCodeRush☕🤖: Sipping on the previous post today. J(w) is our cost function. Finding the perfect line? We need the correct slope We graph every 'w' and J(w), picking the lowest 'w'. How do we code that? Espresso the answer tomorrow.#ML #CostFunction #Coffee
Day 7 of #CaffeineAndCodeRush ☕🤖: Time for some math! The squared error cost function in linear regression checks how close our line is to data points by averaging the differences between predictions and actual values. Curious about predicting with errors? Stay tuned!#ML #Math
Day 6 of #CaffeineAndCodeRush ☕🤖: Linear regression predicts a figure close to all data points with caffeine-fueled accuracy using the Mean Squared Error cost function—though others exist! We fine-tune with Gradient Descent. Caffeine-powered optimization! #ML #AI #Coffee #Math
Day 5 of #CaffeineAndCodeRush☕🤖: Today, we’re brewing up some regression! Predict a variable (dependent) using another (independent). Plot your data, add a shot of math magic (cost function), and voilà—a prediction! Tomorrow, the math gets extra strong! ☕🧠 #ML #AI #Caffeine
Day 4 of #CaffeineAndCodeRush☕🤖: Today’s grind: Regression vs. Classification! Both sip on labeled data and caffeine-fueled math to craft boundaries.Regression is like brewing one type of bean—focused. Classification? It’s brewing a blend of beans all at once! #ML #Coffee #Data
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