Generative AI

In the current state of Retrieval-Augmented Generation (RAG), the main bottleneck for developers is no longer the large language model…

Google has officially released the Colab MCP Serverthe implementation of the Model Context Protocol (MCP) that allows AI agents to…

import os, sys, subprocess, importlib, pathlib SENTINEL = "/tmp/diffrax_colab_ready_v3" def _run(cmd): subprocess.check_call(cmd) def _need_install(): try: import numpy import jax import…

Computational computation of thinking time has been a key driver of the Large Language Model (LLM) performance, shifting the focus…

Ama-agent we-LLM azimele afana ne-OpenClaw ashintsha i-paradigm isuke kubasizi abangenzi lutho iye ezinkampanini ezisebenzayo ezikwazi ukwenza imisebenzi enzima, emkhathizwe ngokusebenzisa…

Baidu Qianfan team is introduced Qianfan-OCRan end-to-end 4B parameter model designed to integrate document parsing,…

The deployment of autonomous AI agents—systems that can run tools and execute code—presents a unique security challenge. While typical LLM…

Large-scale linguistic models (LLMs) are evolving from dialog to autonomous agents capable of executing complex workflows. However, their deployment in…

The transition from a raw dataset to a well-configured high-level language model (LLM) often involves significant infrastructure, including CUDA environment…

Speech technology still has a problem with data distribution. Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems have developed rapidly…