Articles
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3 days ago |
infoq.com | Srini Penchikala
Google DeepMind’s QuestBench benchmark helps in evaluating if LLMs can pinpoint the single, crucial question needed to solve logic, planning, or math problems. DeepMind team recently published an article on QuestBench which is a set of underspecified reasoning tasks solvable by asking at most one question. Large language models (LLMs) are increasingly being applied to reasoning tasks such as math, logic and planning/coding.
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1 week ago |
infoq.com | Wenjie Zi |Srini Penchikala
In this podcast, Wenjie Zi discusses why many ML projects don’t succeed and what technology and organizational aspects affect the success of those projects. She also talked about what potential communication and understanding gaps can exist between business team and ML practitioners and how to address these gaps.
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1 week ago |
infoq.com | Srini Penchikala
Google’s new cybersecurity model Sec-Gemini focuses on cybersecurity AI to enable SecOps workflows for root cause analysis (RCA) and threat analysis, and vulnerability impact understanding. Google Cybersecurity x AI Research Lead Elie Bursztein announced last week the release of Sec-Gemini v1. Security defender teams typically face the task of securing against all cyber threats, while attackers need to successfully find and exploit only a single vulnerability.
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1 month ago |
infoq.com | Bilgin Ibryam |Srini Penchikala
AI is transforming how code is written and developers must adapt and evolve from "expert code typists" to "AI collaborators". Operations teams must develop expertise in leveraging AI-powered operational tools, and shift from writing automation scripts manually to designing observability strategies that guide AI systems toward desired behaviour.
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2 months ago |
infoq.com | Apoorva Joshi |Srini Penchikala
In this podcast, Apoorva Joshi, Senior AI Developer Advocate at MongoDB, discusses how to evaluate software applications that use the Large Language Models or LLMs and how to improve the performance of LLM based applications.
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