Kimi k1.5: Scaling Reinforcement Learning with LLMs

Kimi k1.

5: Language model that learns with rewards and long memory

Kimi k1.
5 is a new language model that learns not just from reading text, but by trying things and getting rewards.
It mixes words and images so it can answer many kind of questions, and its special training uses Kimi k1.
5 design to practice with feedback.
The team found that teaching the model to look far back in a conversation — called long context — helps it keep track and reason better, even on hard problems.
Instead of complex tricks, they used simple, stable methods to teach by reward, or reward-based learning, which made learning scale up more cleanly.
The result: the model gives much stronger answers and show better reasoning on tests with math, code and puzzles.
It match or beat many popular models in many tasks.
For everyday users this means smarter assistants that remember more, explain clearer, and handle images and text together.
Try it, see how a model learns from feedback — it may surprise you.

Read article comprehensive review in Paperium.net:
Kimi k1.5: Scaling Reinforcement Learning with LLMs

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