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Enterprise administrators and billing managers can now set hard budget limits for GitHub Advanced Security (GHAS) SKUs, preventing teams from exceeding their allocated license budgets. Previously, license-based products like GHAS… The post Hard budget limits now available for GitHub Advanced Security appeared first on The GitHub Blog.
Azercell Telecom LLC, Azerbaijan's leading telecommunications provider, wanted to build an Azerbaijani large language model (LLM) on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot. The challenge: adapting foundation models (FMs) to a morphologically rich language with limited training data and no existing blueprint for efficient LLM training in Azerbaijani. In a six-week collaboration, Azercell worked with the AWS Generative AI Innovation Center to establish a production
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Fine-tuning tests show "bias ... toward confidently representing the claims as true."
An Android remote access trojan named BTMOB is offered to cybercriminals with a builder interface for generating malware payloads tailored to phishing lures. [...]
CodeQL is the static analysis engine behind GitHub code scanning, which finds and remediates security issues in your code. We’ve recently released CodeQL 2.25.5, which includes accuracy improvements across C/C++,… The post CodeQL 2.25.5 improves query accuracy for GitHub Actions appeared first on The GitHub Blog.
Coding agents today have a massive spending problem. Every request, whether you’re designing system architecture or writing a single-line docstring, often gets routed to the same expensive frontier model. The result: unnecessary token usage, higher inference costs, and little awareness of task complexity or budget constraints. This high cost stems from a “one-size-fits-all” approach to model usage, where premium frontier models are utilized for trivial tasks that don’t require such intensive rea
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