Adarsh Mishra
@helloadarshh
Love minimalist designs; looking forward to seeing yours. :)
We Have Won! No one can use ‘ORS’ on their label unless it’s a WHO-recommended formula. This is the story of Dr. Sivaranjani Santosh, a braveheart paediatrician from Hyderabad, who fought for 8 years against sugar-rich drinks falsely marketed as ORS. Her persistence led to…
- Linux is free. - Docker is free. - Kubernetes is free. - Git and Github are free. - GitHub Actions is free. - Python is free. - AWS, GCP, Azure are free (limited use). - Terraform is free. - ArgoCD and Flux are free. - Prometheus and Grafana are free. Your laptop and internet…
When I learned OOP, every book used Dog, Cat, and Animal classes. I thought: "Classes must model real-world objects." Later, I saw code with classes like: › AuthenticationHandler › DataSerializer › CacheManager Eureka! Classes aren't just mirrors of reality—they're…
REST is like a restaurant menu with 4 rules: GET → “Bring me food.” (Read data) POST → “Add a new dish to menu.” (Create data) PUT → “Change this dish recipe.” (Update data) DELETE → “Remove this dish.” (Delete data)
Time complexity is the number of operations needed to run an algorithm on large amounts of data. And the number of operations can be considered as time because the computer uses some time for each operation.
checking something new in tech like site or platfrom - an incredible tick -- labex.io/lesson/linux-h… look what i found 🤠
Time Complexity A measure of the amount of time an algorithm takes to run, depending on the amount of data the algorithm is working on. Credit @wwwschools
This is free book is actually a banger if you want to understand Transformers — the models behind GPT, Gemini, Claude, and pretty much every modern LLM. > how attention really works > why positional encoding matters > decoding step-by-step > scaling laws & efficiency…
LLM (Large Language Model) Developer Learning Roadmap |-- Foundations of Machine Learning | |-- Linear Algebra, Calculus, and Probability Basics | |-- Supervised vs Unsupervised Learning | |-- Gradient Descent and Optimization | |-- Feature Engineering and Data Preprocessing |…
I am developing and teaching a new course on Principles of Deep Learning and Intelligence at Hong Kong University this semester based on our new open book. The slides of lectures for the first five weeks are posted at the open book website: ma-lab-berkeley.github.io/deep-represent… Videos will be…
woke up still thinking about the infinite scroll effect on @mattrothenberg 's personal site
🚀 Want high-quality, realistic, and truly challenging post-training data for the agentic era? Introducing Toucan-1.5M (huggingface.co/papers/2510.01…) — the largest open tool-agentic dataset yet: ✨ 1.53M real agentic trajectories synthesized by 3 models ✨ Diverse, challenging tasks…
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