Mistral AI introduced Forge for building frontier-grade AI models.
Most models use public data, but enterprises need internal knowledge. Forge trains on engineering standards, codebases, and operational processes.
The system supports pre-training, post-training, and reinforcement learning. Reinforcement learning aligns agents with internal policies and objectives.
Forge handles dense and mixture-of-experts (MoE) architectures. It supports multimodal inputs like text and images. Code agents use Forge to fine-tune models and generate synthetic data.
Custom models help enterprise agents navigate internal systems better. Agents can follow operational procedures and understand internal terminology.
Forge allows organizations to maintain control over their intellectual property. This is critical for regulated environments with strict compliance rules.
Source: https://mistral.ai/news/forge/
