XDA Developers on MSNOpinion

I started self-hosting LLMs and absolutely loved it

Who needs OpenAI when your home lab can do the thinking for you?
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 ...
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 ...
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 ...
Dark Reading

LLMs' AI-Generated Code Remains Wildly Insecure

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...
Ars Technica

How AI coding agents work—and what to remember if you use them

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...

Learning made fun: Teachers use LLMs to create educational games

Chennai: For teachers, AI large language models (LLMs) must not be a mere information platforms that perform administrative tasks, but to change classroom pedagogy and help students learn more ...