Learnings from astro app AS
Load balancer
Building up load balancer Get the input metrics sorted :
- Latency
- Cost
- Uptime
Machine Learning Engineer
Building up load balancer Get the input metrics sorted :
Connecting to a Azure VM using ssh and RDP
...Tags : Home lab, k8s , k9s, k3s , kubernetes, jenkins, docker, helm, kind, kubectl
...Tags : Reinforcement Learning, RL , Machine learning , deep learning , ML , DL , Post traning
...N-armed bandit, classic RL, between any N choices, start by choosing random and as time passes you will get more feedback information and will be able to iterate on that new information .. this is classic RL relying on exploration vs exploitation
...Tags : django, Django , Backend, microservices
...Vision language action paper used for training real world Robots for task
...So now we have arch installed and need to dual boot with windows ( obviously for nvidia broadcast to work and cracked premiere pro to work there, wine just doesnt work for me )
...To convert / store data in a compatible format that can be used later. Means lets say I want to store a list of dictionary [{'key1' : 'val1'},{'key2' : 'val2'}]
in redis .. so there is not data structure supported in redis for this so...
Maintaining background tasks specially in python django is damn tough, so we to think spawning some daemon threads and getting that solved is very tough .. so rather we should use celery that starts a complete new process and doesnt maintain any-thing inside main process
...A noob method of playing with Node modules
...https://claude.ai/share/82ba8ee9-f673-4f8a-a89a-9fd380bd0e53
...computer from starting up
computerphile explaining CPU
Inside a CPU
blog explaining cpu working
compiler explorer
Proxy
Something that sits in front of client is called proxy !
D3.js is declarative rather than imperative, meaning you describe what you want the visualization to look like, and D3 handles the details. For someone used to more imperative approaches (like traditional programming), this might feel a bit abstract or confusing at first.
...This includes all cloud / devops , web-based , backend , machines etc
...Links :
Setup :
C concepts
Deep dive into the whole required stastistics , that would be a required to learn stable diffusion from the very scratch
...Generative models are very good / best in class approximators of a complex probabilistic equation/distribution that we most of the times have no idea of !!
Images modality : All images in the world are from a very complex distribution of pixels that gives direction , based...
Tags : FM , flow matching , diffusion model , stable diffusion , DDPM , sampling , VLA , Action tokenizer, colab, code
The pre-requisites for this blog post is Journey till diffusion model
Uses cross-attention for allowing conditional modelling ( using text/segmentation map + image...
Diffusion model’s were not built in a day, so we will learn the underlying concepts that helped us reach to diffusion model.
These are the most basic type, its used for reconstruction of data, for example, if you are given an image, you...
Wireless Network Adapter aka wifi card that is used to connect to wifi’s
...