TRL
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The record
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"description": "TRL (Transformer Reinforcement Learning) is a Hugging Face library for reinforcement learning-based fine-tuning of transformer models.",
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What we add
Graph
A protocol or open source project has no press office, and often no site of its own to publish from at all. Nothing shows the coverage written about it elsewhere. We track and link every article that does.
NewsArticle QuSecure reports QuProtect R3 reached TRL 7 at PCC6
Topic graph
A wire service tags a release with a category, once. It doesn't maintain a durable graph over time. We connect them to a topic graph an agent can query.
AI infrastructure https://decisioninsights.ai/term/ai-infrastructure/
Artificial Intelligence https://decisioninsights.ai/term/ai-artificial-intelligence/
Data Center https://decisioninsights.ai/term/data-center/
and 6 more
Counted facts
A protocol or open source project keeps no vendor list and publishes no figures of its own to check this against. This counts how it actually shows up across the graph -- articles that name it, the organizations named alongside it in those articles, similar projects, and organizations whose topic tags overlap with its own -- computed, not curated.
Articles mentioning this entity 1
Organizations named alongside this entity 1
Related projects Hugging Face Transformers, MPT (Mosaic Pretrained Transformer), TensorRT-LLM, PEFT (Parameter-Efficient Fine-Tuning), Megatron-LM, TensorFlow, vLLM, Hugging Face Hub
Related organizations Argilla, Mistral AI, Retym, Anyscale, NOUS RESEARCH, Scale AI, Inflection AI, Seven AI