Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

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 ...

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 ...

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 ...

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 ...

The rise of large language models (LLMs) has been nothing short of spectacular. In just a few years, companies have integrated them into everything—from chatbots to document processing to data ...

Tests on GPT and Claude found they ignored invented spells Fumbus and Driplo; training data can override new input, trust ...

A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with ...

LLMs can supercharge your SOC, but if you don’t fence them in, they’ll open a brand-new attack surface while attackers scale faster.

It’s time to move past large language models and create a new narrative. The hiccups we’ve experienced from large language models and generative AI — a still-novel technology — since its inception a ...