The use of large language models (LLMs) as an alternative to search engines and recommendation algorithms is increasing, but early research suggests there is still a high degree of inconsistency and ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

Unrestricted large language models (LLMs) like WormGPT 4 and KawaiiGPT are improving their capabilities to generate malicious code, delivering functional scripts for ransomware encryptors and lateral ...

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 ...

Foundation models—AI systems trained on expansive datasets that can perform a wide range of tasks—and large language models—a subset of foundation models capable of processing and generating humanlike ...

For the past few years, my world of AI was limited to the big names like ChatGPT and Gemini. But when my colleagues at XDA started sharing their experiences with self-hosted LLMs, my curiosity was ...

Local design has more going for it than I gave it credit for ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post written for the Computer Weekly Developer Network written by Ameya Deshmukh in ...