AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Speculative decoding is a popular technique for increasing the speed and reducing the costs of large language model (LLM) inference by verifying multiple draft tokens in a single target-model forward pass. The resulting benefit depends on the ability of the drafter to approximate the target model's distribution. In thi...
A novel function hijacking attack (FHA) that manipulates the tool selection process of agentic models to force the invocation of an attacker-chosen function and is largely agnostic to the context semantics and remains effective across domains and function sets.
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