AI 모델·학습 플랫폼

linkly.ai is a local-first document search engine that uses AI agents to parse, index, and retrieve information from a wide range of file types—transforming your files into a private, searchable knowledge base with sub-second query responses. It enables cross-file reasoning, contextual memory, and secure link-based sharing, making it ideal for researchers, legal teams, and content creators.

A foundational, 65-billion-parameter large language model by Meta. #opensource

The next generation of Meta's open source large language model. #opensource

LLMChat is an AI chat tool that offers a beta version experience with diverse AI models, personalized memory, custom assistant creation, and privacy-focused locally stored conversations. Explore features like plugin integration, tailored preferences, and prompt examples for various tasks.

LLMFly AI is a service that provides a unified API access to multiple language models. These models include GPT, Claude, Gemini, and Grok. By creating a single access point for these models, LLMFly AI simplifies the process of integrating language models into software, eliminating the need to rebuil

LLmonitor is an AI tool that monitors requests to LLMs, tracks user activity, debugs complex agents, captures user feedback and exports labeled training datasets with built-in integrations for Python and JavaScript.

LLM Price Check aggregates LLM API models and provider details into sortable tables and a cost calculator, showing context windows, input/output cost metrics, and quality indicators to help developers and teams evaluate cost–performance tradeoffs.

LLM Pricing Comparison lets developers and businesses compare token costs, context lengths, and modalities for major large‑language models. An interactive calculator estimates application expenses based on input/output token volumes, helping teams budget AI workloads accurately.

LLM Pulse tracks brand visibility and search presence across LLMs (ChatGPT, Perplexity, Google AI), offering prompt tracking and suggestions, citation analysis, visibility scoring and competitor benchmarking, sentiment and response inspection, plus API and reporting exports.

LLM Token Counter facilitates token limit management for language models like GPT-3.5 and GPT-4. It ensures prompt tokens stay within limits through a client-side JavaScript implementation, enhancing compatibility and performance for AI developers and researchers.

llmule is a decentralized network that enables users to run AI models locally, ensuring data privacy. It offers a library of community-shared models, promoting flexibility and collaboration while eliminating reliance on cloud services.

LM Studio is a local platform for running various large language models like Llama 2 and Mistral. It offers an offline environment, user-friendly interface, and supports multiple operating systems, enhancing privacy and allowing for simultaneous model execution.

local.ai runs language models locally without GPUs. Its Rust backend keeps the binary under 10 MB and performs CPU inference with GGML quantization. A single‑click interface streams responses to a UI, while a model manager tracks, verifies, and resumes downloads.

Loova is a unified AI studio for generating images and videos from text or photos, offering multiple top models to balance speed, quality, and realism. Its tools include multi-shot sequencing, style transfer, and video effects for creators needing rapid, high-quality visual assets.

Lotto Chart uses machine learning to analyze historical lottery data and generate seven predictive models for U.S. state and multi‑state games like Powerball and Mega Millions. Daily updates and analytics reports help users compare performance and identify statistically robust combinations.

LowerEBill uses AI to compare over 3,000 Texas and other deregulated electricity plans. Enter a ZIP or link your account, and it models future costs from real usage data, delivering a projected monthly bill in seconds.

Lucky Robots provides scalable Unreal Engine–based robot simulation and synthetic data generation for training RL, imitation, and supervised models; supports realistic physics and sensor models, natural-language or API control, workflow management, and cloud-scale dataset production.

Lucy Edit AI is an open-source tool that transforms videos using simple text prompts. It performs complex edits like character swaps and scene changes without masks or fine-tuning, preserving the original motion and composition.

Luma AI unifies image, video, audio, and text workflows. Using the UNI‑1 and Ray3.14 models, it generates high‑resolution, motion‑accurate video from prompts or visual input, streamlining concept drafting, asset creation, and refinement in one interface.

Luw.ai produces fast, high‑quality interior and exterior renderings from photos or sketches. Dedicated models auto‑redesign spaces, adjust lighting, suggest palettes, and offer 3D generation, furniture import, and export to CAD formats, with video flythroughs and mood‑board conversion.

Luxand.cloud offers a RESTful face‑recognition API for detection, liveness, and attribute extraction (age, gender, emotions) while storing only privacy‑first templates. It supports Java, JS, Python, etc., and provides an on‑prem FaceSDK for cross‑platform use plus baby‑generation and aging models.

MacCopilot lets macOS users select any screen area, capture screenshots, and chat with AI models—GPT‑4o, Claude, Gemini, or local Ollama—to receive instant visual analysis, code reviews, design feedback, and contextual insights directly on‑screen. Hotkeys and history improve workflow.

Makehub integrates multiple AI models from various providers into a single API, optimizing for speed, reliability, and cost. It features intelligent provider routing, real-time performance monitoring, and failover protection for efficient AI deployment management.

Massed Compute delivers on‑demand GPU/CPU resources via API and desktop interface, supporting NVIDIA A100/H100/L40/A6000 GPUs and custom clusters. Bare‑metal servers provide direct physical access, while an Inventory API streamlines instance management in a Tier III data‑center with expert support.