Recent advances in large language models (LLMs) have increased the demand for comprehensive benchmarks to evaluate their capabilities as human-like…
Machine Learning
Pairwise preferences over model responses are widely collected to evaluate and provide feedback to large language models (LLMs). Given two…
In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API…
The Allen Institute for Artificial Intelligence (AI2) has introduced AutoDS (Autonomous Discovery via Surprisal), a groundbreaking prototype engine for open-ended…
Introduction As large language models (LLMs) advance in software engineering tasks—ranging from code generation to bug fixing—performance optimization remains an…
Autoregressive video generation is a rapidly evolving research domain. It focuses on the synthesis of videos frame-by-frame using learned patterns…
WrenAI is an open-source Generative Business Intelligence (GenBI) agent developed by Canner, designed to enable seamless, natural-language interaction with structured…
Table of contents Introduction The Surge of Vibe Coding: Data and Adoption Trends How Vibe Coding Works: Workflow Innovations Key…
The global proxy market is experiencing rapid expansion in 2025, with the industry estimated to be valued at $2.5billion and…
Data science teams working with artificial intelligence and machine learning (AI/ML) face a growing challenge as models become more complex.…
In 2024, the Ministry of Economy, Trade and Industry (METI) launched the Generative AI Accelerator Challenge (GENIAC)—a Japanese national program…
Building effective AI agents means more than just picking a powerful language model. As the Manus project discovered, how you…
In this tutorial, we begin by setting up a compact yet capable AI agent that runs smoothly, leveraging Hugging Face transformers.…
The Allure and The Hype Vibe coding—constructing applications through conversational AI rather than writing traditional code—has surged in popularity, with…
This work evaluates the potential of large language models (LLMs) to power digital assistants capable of complex action execution. These…
This paper was accepted at the Workshop on Large Language Model Memorization (L2M2) 2025. Large Language Models (LLMs) have quickly…
This paper was accepted at the 2nd AI for Math Workshop at ICML 2025. We introduce Boolformer, a Transformer-based model…
In the manufacturing world, valuable insights from service reports often remain underutilized in document storage systems. This post explores how…
This post was written with Zach Heath of Kyruus Health. When health plan members need care, they shouldn’t need a…
Extracting meaningful insights from unstructured data presents significant challenges for many organizations. Meeting recordings, customer interactions, and interviews contain invaluable…