InfoQ
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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 | Olimpiu Pop
Two years after releasing the GA version of InfluxData’s enterprise edition, their open-source version also reached that level of maturity. Conceptualised for real-time workloads and ease of running, the core version leaves aside features like long-term storage optimisations, compaction or high availability (HA), read replicas, or fine-grained access controls. The third version of the data product goes beyond the traditional scope of data storage functionality.
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1 week ago |
infoq.com | Matt Foster
A popular GitHub Action used by thousands of repositories recently compromised those repositories, exposing a critical weakness in how open-source Actions are published and consumed. A new maintainer briefly hijacked the tj-actions/changed-files Action by publishing a version that contained obfuscated, malicious code. This triggered concern within the developer community about CI/CD security in the GitHub Actions ecosystem.
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1 week ago |
infoq.com | Matt Saunders
In a talk at QCon London, Rachael Wonnacott explained the challenges in building a developer platform in an organisation with legacy processes and how a golden path leading to either a Kubernetes Hotel or a Public Cloud House might be necessary.
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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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