AINewsnow

Reef infra keeps LoRA training state separate for each agent scenario

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

Feedback-driven training becomes difficult to reason about when several products or workloads quietly update the same optimizer state. A support agent, a coding agent, and a research agent may all use the same base model while needing very different behavior. Reef infra makes the scenario boundary…

Read the full story at r/huggingface ↗

Timeline · 1 report

  1. 2026-09-16 04:46 · r/huggingface
    Reef infra keeps LoRA training state separate for each agent scenario

More stories

  1. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI
  2. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  3. Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
  4. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  5. Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
  6. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  7. Introducing Astra for Law — OpenAI News
  8. Novo Nordisk Will Use Anthropic’s Claude for Drug Research — Wall Street Journal Technology

Get the daily brief of stories like this at 6:30 every morning →