Discover the Best AI Resources
Curated essentials, no noise — just what matters
AI Client2023
Browser-first, local-first note app that stores your notes as plain Markdown files and offers a chat-like input flow. LLM-friendly file structure, offline-capable PWA, and Telegram bot integration — data stays on your device unless you enable syncing.
AI Client2023
Runs retrieval-augmented Q&A over your own documents on local hardware, so files never leave your machine. Blends semantic, keyword, and late-chunking retrieval, with a router that picks RAG or a direct LLM answer per query and verifies it.
AI Train2023
Fine-tunes 100+ LLMs and VLMs from one config file or a no-code web UI, unifying LoRA, QLoRA, full tuning, DPO, PPO, KTO and ORPO behind a single interface. Bundles GaLore, Unsloth, FlashAttention-2 and 2-8bit quantization to fit a single 24GB GPU.
AI Agent2023
Runs LLM-generated Python in a Rust sandbox that starts in tens of microseconds (~60µs), with no container overhead. Filesystem, network, and environment access are blocked, and state serializes for pause/resume with per-run resource limits.
Teaches generative AI app development through 21 lessons covering LLM basics, prompting, chat, search, image generation, agents, RAG, fine-tuning, small models, and responsible AI.
Chatbot2023
Turns local documents into a private, self-hosted ChatGPT-style assistant with no-code agents for web browsing and workflow automation. Runs across LLM providers — OpenAI, Anthropic, Ollama — and routes tools smartly to cut token use.
AI API2023
Provides a RESTful integration layer that connects WhatsApp and other messaging services to external systems; supports both Baileys (Web) and WhatsApp Cloud API, multiple third-party integrations, media storage, and Docker deployment.
AI Infra2023
Runs 70B-class LLM inference on a single 4GB GPU without quantization and supports Llama3.1 405B on 8GB VRAM. Uses layer-splitting and block-wise model compression (4/8-bit) to reduce disk load and can speed up inference loading by up to ~3x; integrates with Hugging Face models.
AI Deploy2023
Run any open-source LLM, embedding, speech, image, or multimodal model behind one OpenAI-compatible API — swap GPT for an open model in a single line. Routes across vLLM, llama.cpp, GGML, and TensorRT, scaling from a laptop to a multi-node GPU cluster.
AI API2023
Unified TypeScript toolkit for building AI apps and agents: swap between 100+ models from OpenAI, Anthropic, Google and others by changing one line. Ships streaming, tool calling, and framework-agnostic UI hooks for React, Next.js, Vue, and Svelte.
AI Deploy2023
Compresses, deploys, and serves LLMs via two engines: TurboMind for raw speed, a PyTorch engine for flexibility. Claims ~1.8x vLLM throughput through persistent batching, blocked KV cache, and split-and-fuse; ships 4-bit AWQ and KV-cache quantization.
AI Client2023
Adds agent-native UI patterns to apps through chat, generative UI, shared state, human-in-the-loop flows, and AG-UI-based frontend integrations.