关键词 "GPU Pricing" 的搜索结果, 共 24 条, 只显示前 480 条
Atlancer.ai offers hand-crafted tools developed by its community.
Summary: Faraday.dev is an offline desktop app for AI chat characters, ensuring data privacy.
ResolveAI is an AI chatbot that helps businesses with customer inquiries.
Accessible image generation with pre-trained models or your own. No limits, no GPUs needed.
Lebesgue: An effective marketing tool for e-commerce stores, optimizing ROI through data analysis.
AI chat platform with pay-as-you-go pricing.
Go from nothing → deployed codebase in ~5 minutes
Agencies can rebrand and resell SEO, PPC, and web design as their own.
Access large language and text-to-image models for a wide range of applications.
Create music easily for videos, films, and more with SOUNDRAW's AI music generator.
Effortlessly bypass CAPTCHAs with advanced AI.
Compare and evaluate various AI models and their specifications.
PPSPY helps Shopify dropshipping stores find winning products and track competitor sales.
Typli.AI is an AI-powered tool for digital marketers and content creators, offering easy content generation and optimization.
Super Powered Humanizer & Undetectable AI Writing Tools.
Generate high-quality voiceovers with SpeechGen.io's realistic Text-to-Speech AI technology.
Advanced AI technology for maximizing sales with A/B testing.
此开源项目旨在完全从0开始,仅用3块钱成本 + 2小时!即可训练出仅为25.8M的超小语言模型MiniMind。 MiniMind系列极其轻量,最小版本体积是 GPT-3 的 1/7000,力求做到最普通的个人GPU也可快速训练。 项目同时开源了大模型的极简结构-包含拓展共享混合专家(MoE)、数据集清洗、预训练(Pretrain)、监督微调(SFT)、LoRA微调, 直接偏好强化学习(DPO
Wan2.1,这是一套全面开放的视频基础模型,旨在突破视频生成的界限。Wan2.1提供以下主要功能: 👍 SOTA 性能:Wan2.1在多个基准测试中始终优于现有的开源模型和最先进的商业解决方案。 👍支持消费级 GPU:T2V-1.3B 型号仅需 8.19 GB VRAM,兼容几乎所有消费级 GPU。它可在约 4 分钟内在 RTX 4090 上生成一段 5 秒的 480P 视频(无需量化等
Connects to namecheap api for checking availability and pricing of domains and registering them.
Kotlin Spring AI MCP server demo. Getting Cryptocurrency pricing from Binance
Zonos MCP server modified for Linux and GPU optimizations.
Solana-based micropayment server using MCP. 💰 Facilitates direct SOL transfers for resource access control via a Flask API. 🔑 Returns solana-action: URIs for unsigned transactions, validated on-chain.
ACE-Step,这是一个用于音乐生成的全新开源基础模型,它克服了现有方法的关键局限性,并通过整体架构设计实现了最佳性能。当前的方法在生成速度、音乐连贯性和可控性之间面临着固有的权衡。例如,基于 LLM 的模型(例如 Yue、SongGen)在歌词对齐方面表现出色,但推理速度慢且存在结构性伪影。另一方面,扩散模型(例如 DiffRhythm)虽然能够实现更快的合成速度,但通常缺乏长距离的结构连贯性
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