VentureBeat

Self-invoking code benchmarks help you decide which LLMs to use for your programming tasks

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...
XDA Developers on MSN

Local LLMs finally beat cloud AI for coding, automation, and brainstorming — here's which ones I use

There's always a local model that can replace your AI subscription ...
InfoWorld

Here’s how Google is using LLMs for complex internal code migrations

The tech giant has developed a step-by-step AI toolkit that it says has improved end-to-end code migrations by 50%. Code migration is a critical process in maintaining software applications. It helps ...
InfoQ

CodeClash Benchmarks LLMs through Multi-Round Coding Competitions

Researchers from Stanford, Princeton, and Cornell have developed a new benchmark to more accurately evaluate the coding abilities of large language models (LLMs). Called CodeClash, the new benchmark ...

Google updates Android Bench with new LLMs, but Gemini still lags behind

Google created a benchmark earlier this year to evaluate how LLMs perform in Android app development, and Android Bench is ...
CSOonline

Google researchers detect first operational use of LLMs in active malware campaigns

Google’s Threat Intelligence Group reports that new malware strains use LLMs mid-execution to generate, rewrite, and obfuscate malicious code in real time. Threat actors are now actively deploying ...

emtelligent Medical Language Engine Improves LLM Coding Accuracy

AI, today announced that testing shows that LLMs using its next-generation Medical Language Engine significantly outperform LLMs alone in medical coding.