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Top 15 Vibe Coding Tools Transforming AI-Driven Software Development in 2025
OpenAI

Top 15 Vibe Coding Tools Transforming AI-Driven Software Development in 2025

As AI-first development redefines how software is built, “vibe coding” has emerged as a paradigm-shifting approach where developers simply say what they want,...

Build a Gemini-Powered DataFrame Agent for Natural Language Data Analysis with Pandas and LangChain
OpenAI

Build a Gemini-Powered DataFrame Agent for Natural Language Data Analysis with Pandas and LangChain

In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both...

VeBrain: A Unified Multimodal AI Framework for Visual Reasoning and Real-World Robotic Control
OpenAI

VeBrain: A Unified Multimodal AI Framework for Visual Reasoning and Real-World Robotic Control

Bridging Perception and Action in Robotics Multimodal Large Language Models (MLLMs) hold promise for enabling machines, such as robotic arms and legged robots,...

From Text to Action: How Tool-Augmented AI Agents Are Redefining Language Models with Reasoning, Memory, and Autonomy
OpenAI

From Text to Action: How Tool-Augmented AI Agents Are Redefining Language Models with Reasoning, Memory, and Autonomy

Early large language models (LLMs) excelled at generating coherent text; however, they struggled with tasks that required precise operations, such as arithmetic calculations...

Yandex Releases Alchemist: A Compact Supervised Fine-Tuning Dataset for Enhancing Text-to-Image T2I Model Quality
OpenAI

Yandex Releases Alchemist: A Compact Supervised Fine-Tuning Dataset for Enhancing Text-to-Image T2I Model Quality

Despite the substantial progress in text-to-image (T2I) generation brought about by models such as DALL-E 3, Imagen 3, and Stable Diffusion 3, achieving...

ALPHAONE: A Universal Test-Time Framework for Modulating Reasoning in AI Models
OpenAI

ALPHAONE: A Universal Test-Time Framework for Modulating Reasoning in AI Models

Large reasoning models, often powered by large language models, are increasingly used to solve high-level problems in mathematics, scientific analysis, and code generation....

How to Create Smart Multi-Agent Workflows Using the Mistral Agents API’s Handoffs Feature
OpenAI

How to Create Smart Multi-Agent Workflows Using the Mistral Agents API’s Handoffs Feature

In this tutorial, we’ll explore how to create smart, multi-agent workflows using the Mistral Agents API’s Handoffs feature. This lets different agents work...

High-Entropy Token Selection in Reinforcement Learning with Verifiable Rewards (RLVR) Improves Accuracy and Reduces Training Cost for LLMs
OpenAI

High-Entropy Token Selection in Reinforcement Learning with Verifiable Rewards (RLVR) Improves Accuracy and Reduces Training Cost for LLMs

Large Language Models (LLMs) generate step-by-step responses known as Chain-of-Thoughts (CoTs), where each token contributes to a coherent and logical narrative. To improve...