AMD Developer Hackathon: ACT II names its first track "Hybrid Token-Efficient Routing Agent." The name is a hint: the winning approach isn't picking one model and calling it on every query, it's ...
The purpose of this repository is to share KQL queries that can be used by anyone and are understandable. These queries are intended to increase detection coverage through the logs of Microsoft ...
Quest is an efficient long-context LLM inference framework that leverages query-aware sparsity in KV cache to reduce memory movement during attention and thus boost throughput. As the demand for ...
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