AI

Computational computation of thinking time has been a key driver of the Large Language Model (LLM) performance, shifting the focus from architecture to computational efficiency around model quality. Although Transformer-based architectures remain standard, their quadratic computational complexity and linear memory requirements create significant deployment barriers. A team of researchers from Carnegie Mellon University (CMU), Princeton … Read more

Baidu Qianfan team is introduced Qianfan-OCRan end-to-end 4B parameter model designed to integrate document parsing, structure analysis, and document understanding within the framework of a single visual language. Unlike typical multi-stage OCR pipelines that include separate modules for structure detection and text recognition, Qianfan-OCR performs direct image-to-Markdown conversion and supports … Read more

From small exchanges to complex role-oriented or adult chats, EVA Ai Chat provides a space where users can interact according to personal preferences. The system does not rely on strict rules of negotiation. Instead, it maintains clarity and usability while allowing freedom of expression. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered Chat … Read more

Building with AI today can feel messy. You can use one API for text, another for images, and a different one for something else. Every model comes with its own setup, API key, and payment. This slows you down and makes things more difficult than they need to be. What if you could use all … Read more

The deployment of autonomous AI agents—systems that can run tools and execute code—presents a unique security challenge. While typical LLM applications are limited to script-based interactions, standalone agents need access to shell environments, file systems, and network endpoints to perform tasks. This increased capability presents significant risks, as the ‘black box’ nature of the model … Read more

Large-scale linguistic models (LLMs) are evolving from dialog to autonomous agents capable of executing complex workflows. However, their deployment in business environments remains limited by the lack of measures that capture the specific challenges of professional settings: long-term planning, constant changes in context, and strict access protocols. To address this, researchers from ServiceNow Research, Mila … Read more

The transition from a raw dataset to a well-configured high-level language model (LLM) often involves significant infrastructure, including CUDA environment management and high VRAM requirements. Unsloth AI, known for its highly efficient training library, has been released Unsloth Studio to address these areas of conflict. Studio is an open source, code-free interface designed to streamline … Read more

In our previous article of the Excel 101 series, we learned all about conditional logic and operators in Excel. These operators are very helpful in functions like IF, AND, OR, etc. However, there is another family of functions that are widely used by Excel users and mainly use these operators to express results. This is … Read more

Speech technology still has a problem with data distribution. Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems have developed rapidly in widely used languages, but many African languages ​​remain poorly represented in the open source community. A team of researchers from Google and other partners present WAXALan open multilingual speech dataset for African languages ​​covering … Read more

angles = np.linspace(0.0, 2.0 * np.pi, n_particles, endpoint=False, dtype=np.float32) px0_np = 0.4 * np.cos(angles).astype(np.float32) py0_np = (0.7 + 0.15 * np.sin(angles)).astype(np.float32) vx0_np = (-0.8 * np.sin(angles)).astype(np.float32) vy0_np = (0.8 * np.cos(angles)).astype(np.float32) px0_wp = wp.array(px0_np, dtype=wp.float32, device=device) py0_wp = wp.array(py0_np, dtype=wp.float32, device=device) vx0_wp = wp.array(vx0_np, dtype=wp.float32, device=device) vy0_wp = wp.array(vy0_np, dtype=wp.float32, device=device) state_size = (steps + … Read more