LLMs

7 March 2026 3 read minutes Add us on GoogleAdd SciAm Hey Chatgpt, write me a hypothetical paper: These LLMs are inclined to commit academic fraud The study found that …

Google has officially released android benchA new leaderboard and evaluation framework designed to measure how large language models (LLMs) perform specifically on Android development tasks. The dataset, methodology and test …

Evaluating the Bayesian capabilities of LLM Like humans, to be effective, LLMs’ user interactions require constant updating of probabilistic estimates of the user’s preferences based on each new interaction with …

Optimizing large language models (LLMs) currently presents a significant engineering trade-off between flexibility and In-Context Learning (ICL) and efficiency of Context Distillation (CD) Or Supervised Fine-Tuning (SFT). Tokyo-based Sakana AI …

The generative AI race has long been a game of ‘bigger is better’. But as the industry approaches the limits of power consumption and memory constraints, the conversation is shifting …

Last updated on January 26, 2026 by Editorial Team Author(s): florian jun Originally published on Towards AI. Have you ever wondered how to parse a resume, or have you had …

Smaller models are becoming increasingly more capable and applicable to a variety of enterprise use cases. Plus, each new GPU generation packs dramatically more compute and memory bandwidth. outcome? Even …

-Antonio Regalado This is from the latest print issue of the story MIT Technology Review magazine, which is All about exciting innovations. If you haven’t already, Subscribe now To receive …

Transformers use a mix of attention and experts for scale calculations, but they still lack a native way to perform knowledge discovery. They recalculate the same local patterns over and …

Author(s): -Awadhesh Singh Chauhan Originally published on Towards AI. Integrated, minimal and production-ready Python SDK for OpenAI, Anthropic, Google Gemini, XAI and native LLM – with built-in agents, flexibility and …