Search

10 results on this page

Transfer More Knowledge with Less Multilingual Data

Transfer More Knowledge with Less Multilingual Data

Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.

Apple Machine LearningOfficial22h ago#multilingual-models
A Smaller Qwen3.8 Built by Pruning Layers

A Smaller Qwen3.8 Built by Pruning Layers

A community developer created Qwen3.8-23B-Mini-Me by strategically removing layers from Qwen3.8-27B, reducing the model to approximately 22.7B parameters without severe reasoning degradation. The model is reported to work well for coding, agentic tasks, and multi-turn chats, but it has not yet been benchmarked and struggles more with edge cases and underspecified prompts.

Reddit r/LocalLLaMACommunity22h ago#model-pruning#model-compression#apple-silicon
AgentCore Automates Cloud Migration

AgentCore Automates Cloud Migration

AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.

AWS Machine Learning BlogOfficial6h ago#cloud-migration#multi-agent#automation
Page 1