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CLM
CLM: Language model connects states and actions.
CLM is a language model that connects states and actions with a contrastive learning objective. It is trained on a large-scale dataset and serves as a zero-shot action classifier. CLM scores each action by how well its embedding aligns with the state embedding and selects the highest-scoring action. It is pre-trained on internet-scale Q&A, mid-trained on synthetic hard negatives, and post-trained on agentic traces. CLM can be easily fine-tuned on downstream tasks.
CLM at a glance
- Best for: Software engineer, Researcher
- Runs on: Web, CLI
- Pricing: Free
- Released: September 2026
- Category: AI research tool
- Website: github.com/contrastive-lm/clm
Key features
- State encoder
- Action encoder
- Contrastive learning objective
- Zero-shot action classification
- Fine-tuning capability
Use it for
- Decision-making
- Action classification
- Verification
Alternatives to CLM
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- Vegaml — Runs locally on your hardware with calibrated probabilities and conformal answer sets.
- Homi — It answers complex audio questions natively with high accuracy.
- Deepopen — Provides millisecond-level inference speeds and completely eliminates text generation hallucinations.
- ContextGem 1.0 — It extracts structured data with source tracing and uses both LLMs and decision models.
All CLM alternatives