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Local AI Tool Overviews

Explore what local and self-hosted AI tools do, how they work and which tasks they can help with.

500+ videos

aichat and aider: terminal workflows and configuration

Open Deep Research: architecture and local setup

Scira AI review: search modes, models and limitations

Scira

Claude Desktop MCP setup and tool use cases

MCP Reference Servers

Open-Sora 2.0: training costs and architecture explained

Overview

Open-Sora

Wingman-AI setup: providers, MCP tools and code indexing

Wingman-AI

Agent-S overview: GUI automation, planning and memory

Overview

Stable Fast 3D: local demo and InstantMesh comparison

Llama Guard 3, Prompt Guard and CodeShield overview

Overview

RouteLLM overview: GPT-4 routing costs and comparisons

Llama

LLM tutorial: local models, shell pipelines and RAG

Verba 1.0 and Ollama: local RAG setup tutorial

Jina Reader API tutorial: web content for RAG

Jina Reader

Megatron-LM: GPU cluster training and parallelism explained

Overview

Petals setup: distributed LLaMA inference with Google Colab

Llama

h2oGPT tutorial: chat with PDFs and web pages

Falcon

Apple Core ML 7: Stable Diffusion performance comparison

Quivr setup: document chat with OpenAI and Supabase

Quivr Core

3D Gaussian Splatting: method and rendering comparisons

PaddleDetection and PP-YOLO: model comparison

Comparison
Overview

PaddleDetection

Netron overview: local setup and model graph inspection

Netron

Colossal-AI: distributed training and DeepSpeed comparison

Ludwig on Ray: distributed AutoML setup and tuning

Rasa overview: rules, neural models and chatbot design

Overview

Rasa