NVIDIA continues to push the boundaries of open AI development by open-sourcing its Open Code Reasoning (OCR) model suite — a trio of high-performance large language models purpose-built for code ...

Just ahead of its annual I/O developer conference, Google has released an early preview of Gemini 2.5 Pro (I/O Edition)—a substantial update to its flagship AI model focused on software development ...

In a notable step toward democratizing vision-language model development, Hugging Face has released nanoVLM, a compact and educational PyTorch-based framework that allows researchers and developers to ...

At the heart of Parakeet TDT 0.6B’s appeal is its unmatched speed and transcription quality. The model can transcribe 60 minutes of audio in just one second, a performance that’s over 50x faster than ...

Large reasoning models (LRMs) have shown impressive capabilities in mathematics, coding, and scientific reasoning. However, they face significant limitations when addressing complex information ...

This article demonstrates how to build an intelligent routing system powered by Anthropic’s Claude models. This system improves response efficiency and quality by automatically classifying user ...

OpenAI has published a comprehensive 24-page document titled AI in the Enterprise, offering a pragmatic framework for organizations navigating the complexities of large-scale AI deployment. Rather ...

AgentQL allows you to scrape any website with unstructured data by defining the exact shape of the information you want. It gives you consistent, structured results—even from pages with dynamic ...

At the center of this release is the evolution of RAG architectures. Traditional RAG pipelines typically involve static queries to vector stores followed by synthesis via large language models.

The Model Communication Protocol (MCP) is an emerging open standard that allows AI agents to interact with external services through a uniform interface. Instead of writing custom integrations for ...

CLIP by OpenAI excels at connecting images with natural language, making it powerful for zero-shot image classification and retrieval tasks.

Memory plays a crucial role in LLM-based AI systems, supporting sustained, coherent interactions over time. While earlier surveys have explored memory about LLMs, they often lack attention to the ...