Yi Cui
onekq
AI & ML interests
Benchmark, Code Generation Model
Recent Activity
posted an update about 5 hours ago
What do you plan to use Muse for? repliedto their post about 5 hours ago
My takes on Jev
1. Very likely a small model. You can certainly pretrain, but I would grab an existing base model, say Qwen 3 class
2. The new RL method is a breakthrough, classification doesn't need to align with human preferences
3. The new output is an overstatement. It's just a new LM head. Of course autoregressive decoding can be used for classification: it takes just a few tokens to express the output. Think twice: are you sure classification doesn't need few-shot, CoT, or reasoning? All of these depend on auto-regressiveness
4. It carves out a market already existing, which is now served by oversized LLMs (hence overpaid), e.g. LLM as judge, labeling
5. Jevons effect will kick in, promoting more modeling efforts for small budget teams. It might even accelerate RSI repliedto their post 3 days ago
My takes on Jev
1. Very likely a small model. You can certainly pretrain, but I would grab an existing base model, say Qwen 3 class
2. The new RL method is a breakthrough, classification doesn't need to align with human preferences
3. The new output is an overstatement. It's just a new LM head. Of course autoregressive decoding can be used for classification: it takes just a few tokens to express the output. Think twice: are you sure classification doesn't need few-shot, CoT, or reasoning? All of these depend on auto-regressiveness
4. It carves out a market already existing, which is now served by oversized LLMs (hence overpaid), e.g. LLM as judge, labeling
5. Jevons effect will kick in, promoting more modeling efforts for small budget teams. It might even accelerate RSIOrganizations
