mor-gemma-transformer.streamlit.app
I implemented Google DeepMind's MoR on Gemma 270M. The standard transformer won by a landslide. 📊 Results: • Standard: 6.03 loss / 3.2GB VRAM • MoR: 23.23 loss / 13GB VRAM Why? MoR's power is scale-dependent. Its complexity backfires on smaller models.
we've been hard at work improving @cursor_ai Agent, allowing you to delegate more tasks and let it work alongside you
agent works just like a human developer, with access to your tools, codebase context, and the ability to take actions
here's what Agent can do ↓
DeepSeek R1 training explained from their paper
So DeepSeek R1 was released last week, and there is a lot of buzz around, righfully so because it is an opensourced (MIT licenced) llm which is said to perform as good as o1.
It is very cheap compared to o1 (usage and training…
Announcing The Stargate Project
The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure…
After securing a position at a tier 2 company, I took some time to reflect and recharge. Now I'm ready to refocus on my studies and aim for a tier 1 job. Here are some pics from my time off—grateful for the break and excited for what's next!
#Bengaluru#rainalert#jobhunting
"Based on everything you know about me, create 5 questions to my future self"
Ask this question to gpt and you can reflect upon yourself.
You can also try:What do you know about me that I might not know about myself based on our previous interaction which I had till now?
#gpt4
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