Post Contenthttps://www.youtube.com/shorts/nKgughUp4_k 

 [[{“value”:”Context management is one of the biggest bottlenecks for AI agents. When the context window fills up, most harnesses compact or summarize the conversation and lose useful information along the way. Meta and the University of Washington’s new paper, Context Language Models, lets the agent edit its own context like a file instead. The catch: it breaks your prefix caching.

Full video, with my tests on a DGX Spark: https://youtu.be/Bgtr1Ue40Jo
Paper: https://arxiv.org/abs/2609.37725

#AIagents #contextengineering #LLM #shorts”}]] Read More Prompt Engineering 

#Promptengineering #AI

Post Contenthttps://www.youtube.com/shorts/nKgughUp4_k 

 [[{“value”:”Context management is one of the biggest bottlenecks for AI agents. When the context window fills up, most harnesses compact or summarize the conversation and lose useful information along the way. Meta and the University of Washington’s new paper, Context Language Models, lets the agent edit its own context like a file instead. The catch: it breaks your prefix caching.

Full video, with my tests on a DGX Spark: https://youtu.be/Bgtr1Ue40Jo
Paper: https://arxiv.org/abs/2609.37725

#AIagents #contextengineering #LLM #shorts”}]] Read More Prompt Engineering 

#Promptengineering #AI