Tag: assessment
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The Register: GitHub’s boast that Copilot produces high-quality code challenged
Source URL: https://www.theregister.com/2024/12/03/github_copilot_code_quality_claims/ Source: The Register Title: GitHub’s boast that Copilot produces high-quality code challenged Feedly Summary: We’re shocked – shocked – that Microsoft’s study of its own tools might not be super-rigorous GitHub’s claim that the quality of programming code written with its Copilot AI model is “significantly more functional, readable, reliable, maintainable, and…
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AWS News Blog: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock
Source URL: https://aws.amazon.com/blogs/aws/new-rag-evaluation-and-llm-as-a-judge-capabilities-in-amazon-bedrock/ Source: AWS News Blog Title: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock Feedly Summary: Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale. AI Summary and Description:…
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Hacker News: Discovery of CVE-2024-2550 (Palo Alto)
Source URL: https://www.ac3.com.au/resources/discovery-of-CVE-2024-2550/ Source: Hacker News Title: Discovery of CVE-2024-2550 (Palo Alto) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a security incident involving a critical vulnerability in Palo Alto GlobalProtect VPN, traced back to a “nil pointer dereference” error after a firewall patch. The collaboration between AC3 and Palo Alto…
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AWS News Blog: New APIs in Amazon Bedrock to enhance RAG applications, now available
Source URL: https://aws.amazon.com/blogs/aws/new-apis-in-amazon-bedrock-to-enhance-rag-applications-now-available/ Source: AWS News Blog Title: New APIs in Amazon Bedrock to enhance RAG applications, now available Feedly Summary: With custom connectors and reranking models, you can enhance RAG applications by enabling direct ingestion to knowledge bases without requiring a full sync, and improving response relevance through advanced re-ranking models. AI Summary and…
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The Register: Interpol nabs thousands, seizes millions in global cybercrime-busting op
Source URL: https://www.theregister.com/2024/12/01/interpol_cybercrime_busting/ Source: The Register Title: Interpol nabs thousands, seizes millions in global cybercrime-busting op Feedly Summary: Also, script kiddies still a threat, Tornado Cash is back, UK firms lose billions to avoidable attacks, and more Infosec in brief Interpol and its financial supporters in the South Korean government are back with another round…
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Hacker News: We need data engineering benchmarks for LLMs
Source URL: https://structuredlabs.substack.com/p/why-we-need-data-engineering-benchmarks Source: Hacker News Title: We need data engineering benchmarks for LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the shortcomings of existing benchmarks for evaluating the effectiveness of AI-driven tools in data engineering, specifically contrasting them with software engineering benchmarks. It highlights the unique challenges of data…
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The Register: RansomHub claims to net data hat-trick against Bologna FC
Source URL: https://www.theregister.com/2024/11/30/bologna_fc_ransomhub/ Source: The Register Title: RansomHub claims to net data hat-trick against Bologna FC Feedly Summary: Crooks say they have stolen sensitive files on managers and players Italian professional football club Bologna FC is allegedly a recent victim of the RansomHub cybercrime gang, according to the group’s dark web postings.… AI Summary and…
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Hacker News: A statistical approach to model evaluations
Source URL: https://www.anthropic.com/research/statistical-approach-to-model-evals Source: Hacker News Title: A statistical approach to model evaluations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a new research paper that proposes statistical recommendations for the reporting of AI model evaluation results, focused on improving the rigor and reliability of assessments in AI research. It highlights…