Don't use DISTINCT as a "join-fixer" - Simple Talk
I've quietly resolved performance issues by re-writing slow queries to avoid DISTINCT. Often, the DISTINCT is there only to serve as a "join-fixer," and I
3 main points✔️ Validates emergence observed in large-scale language models ✔️ Suggests that LLM emergence may be an illusion created by evaluation measures ✔️ Successfully reproduces emergence that does not actually occur intentionally by using specific evaluation measures in non-LLM modelsAre Emergent Abilities of Large Language Models a Mirage?writtenbyRylan Schaeffer,Brando Miranda,Sanmi Koyejo(Submitted on28 Apr 2023 (v1), last revised 22 May 2023 (this version, v2))Comments: Published on arxiv.Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)code:The images used in this article are from the paper, the introductory slides, or were created based on them.IntroductionEmergence" refers to the occurrence of effects and phenomena that could not be seen in a single element when a large number of elements are assembled. In recent large-scale language models (LLMs), i.e.
How AWS protects customers from DDoS events | AWS Security Blog
At Amazon Web Services (AWS), security is our top priority. Security is deeply embedded into our culture, processes, and systems; it permeates everything we do. What does this mean for you? We believe customers can benefit from learning more about what AWS is doing to prevent and mitigate customer-impacting security events. Since late August 2023, […]
HTTP/2 Zero-Day Vulnerability Results in Record-Breaking DDoS Attacks
The “HTTP/2 Rapid Reset” attack exploits a weakness in the HTTP/2 protocol to generate enormous, hyper-volumetric DDoS attacks. Cloudflare has mitigated a barrage of these attacks in recent months, including an attack three times larger than any previous attack we’ve observed