DeepMind Ka ‘Socratic Learning’ Framework – AI Ko Self-Improve Karne Ki Nayi Raah!

 Title: DeepMind Ka ‘Socratic Learning’ Framework – AI Ko Self-Improve Karne Ki Nayi Raah!

The Rundown: Google DeepMind ke researchers ne ek naya framework introduce kiya hai jiska naam hai ‘Boundless Socratic Learning’. Yeh AI systems ko apne aap ko improve karne ka mauka deta hai bina kisi external data ya human feedback ke, sirf language-based interactions ke zariye.

Details:

Is approach mein ‘language games’ ka use hota hai, jo AI agents ke beech structured interactions provide karte hain, jisme learning opportunities aur built-in feedback mechanisms hote hain.

System apne training scenarios khud generate karta hai aur game-based metrics aur rewards ke through apne performance ko evaluate karta hai.

Researchers ne AI self-improvement ke teen levels define kiye hain: basic learning input/output, game selection, aur potential code self-modification.

Yeh framework AI ko apne initial training ke baad bhi open-ended improvement karne ka moka de sakta hai, jisme time aur compute resources ke alawa koi aur limitation nahi hoti.

Why It Matters:

Top AI labs yeh maanti hain ki models ko aakhirkar apne aap ko train karne ki capacity honi chahiye. Yeh framework ek blueprint provide karta hai ki kaise systems apne aap ko improve kar sakte hain bina human intervention ke. Sabse bada challenge yeh hoga ki jab models apne self-improvement ka kaam khud handle karna shuru karenge, toh unka alignment human goals ke saath kaise maintain rahega. 🧠💡