Chasing Logic Chains: Inference tracing

​Dive into the intricacies of AI observability and decision-making with host Lori MacVittie and special guest Chris Hain. Lori and Chris discuss Anthropic’s open-sourced circuit tracing Python library tool and recent studies analyzing the internal workings of large language models (LLMs) during inference. They explore the growing need for advanced observability tools and the operational challenges involved in managing AI systems. From AI's decision-making complexities to the future of semantic observability, this episode is a deep dive into the often chaotic world of emerging tech.
 
Paper’s referenced in this episode:

Creators and Guests

Lori MacVittie
Host
Lori MacVittie
Distinguished Engineer and Chief Evangelist at F5, Lori has more than 25 years of industry experience spanning application development, IT architecture, and network and systems' operation. She co-authored the CADD profile for ANSI NCITS 320-1998 and is a prolific author with books spanning security, cloud, and enterprise architecture.
Chris Hain
Guest
Chris Hain
Distinguished Technologist at F5 with over 20 years in Enterprise and Public WiFi Networking.
Chasing Logic Chains: Inference tracing
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