How do you train small reasoning models more effectively? Many AI developers run into the same problem: RL fine-tuning plateaus quickly, especially for 1–2B parameter models. A new approach called DeepSearch offers a neat solution. Instead of only using Monte Carlo Tree

→ View original post on X — @debashis_dutta,