J-space is really something we have been exploring since 2022. Glad to see it continues to work well at scale!
Some of the related work along this direction:
- How to recover the latent process using Jacobians (Identifiability of nonlinear ICA): https://t.co/uZkCxCMyrq
- How to handle dependent latents and assumption violations (again, through Jacobians): https://t.co/JNFPThjvkW
- For general latent variable models, what remains recoverable with guarantees, and why Jacobians are universally helpful? (We could generalize SAEs to the general nonlinear case, with Jacobians!): https://t.co/Mmh9lgglA0
Feels like we're still only beginning to uncover what Jacobian structure can tell us about representations.
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I remember we proposed a very strong Kubernetes project, but the professor was like you need to use AI or we will not accept your project.
They did not even read about our idea. I just wanted to score well so we ended up switching our project to something AI related.
as unreal as it sounds, time travel is a real thing and possible if we can beat the speed of light. I can only imagine what all I'd miss that world is about to see in a few centuries
I wish rebirth is a thing for real
as unreal as it sounds, time travel is a real thing and possible if we can beat the speed of light. I can only imagine what all I'd miss that world is about to see in a few centuries
I wish rebirth is a thing for real
🚨 Air Quality Index (AQI) of Indian cities today.
New Delhi - 205
Chennai - 168
Kolkata - 167
Ahmedabad - 160
Hyderabad - 148
Mumbai - 147
Pune - 146
Bengaluru - 116
Caching (Redis, Memcached)
What is Caching?
Caching is the process of storing frequently accessed data in a temporary storage (cache) so future requests can be served faster. Instead of querying the database every time, the system retrieves data from the cache, reducing response time and server load.
Why Caching is Important
→ Improves application performance.
→ Reduces load on the database.
→ Enhances scalability and user experience.
→ Useful in real-time applications where speed is critical.
Redis
Redis (Remote Dictionary Server) is an open-source, in-memory data store often used as a cache, database, and message broker.
→ Stores data in key-value pairs.
→ Supports complex data structures like lists, sets, and hashes.
→ Provides persistence options (data can be saved to disk).
→ Commonly used in session storage, leaderboards, and pub/sub systems.
Advantages of Redis
→ Very fast (in-memory).
→ Rich data types and features.
→ Persistence support (RDB, AOF).
→ Suitable for real-time analytics.
Memcached
Memcached is a high-performance, in-memory caching system designed for simplicity and speed.
→ Stores data in key-value pairs.
→ Focuses only on caching (no persistence, fewer data structures).
→ Commonly used for caching database queries, HTML fragments, or session data.
Advantages of Memcached
→ Simple and lightweight.
→ Extremely fast read/write operations.
→ Scales horizontally across multiple servers.
Redis vs Memcached
→ Redis: Feature-rich, supports persistence and advanced data types.
→ Memcached: Lightweight, purely focused on caching.
→ Redis: Best for applications needing caching + extra functionality.
→ Memcached: Best for simple caching with minimal overhead.
Real-World Examples
→ Redis: Storing user sessions in large-scale apps like Twitter.
→ Memcached: Caching product details on e-commerce sites for faster page loads.
Download The Backend Ebook ( it covers everything above and more)
https://t.co/QdeNEmpNfI