Benjamin Scholtz

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Large Language Model (LLM)

Large Language Model (LLM)

Apr 12, 20261 min read

Large Language Model (LLM)

AI Agent Retrieval Augmented Generation (RAG) LLM Prompting Guidelines

Benchmarks

  • https://aider.chat/docs/leaderboards/
  • https://github.com/petergpt/bullshit-benchmark

RAG

  • https://github.com/VectifyAI/PageIndex
  • What are knowledge graphs and why is everyone talking about them? | Blog | SurrealDB

Search

  • https://github.com/tobi/qmd

Evals

  • Build Secure AI Applications | Promptfoo
  • https://agenta.ai

Security

  • My self-sovereign / local / private / secure LLM setup, April 2026 — Vitalik Buterin’s guide to running LLMs locally with focus on privacy, security and self-sovereignty

Local Models and Hosting

  • https://github.com/AlexsJones/llmfit
  • https://github.com/microsoft/BitNet
  • https://github.com/av/harbor
  • CanIRun.ai — Can your machine run AI models?

Fine-tuning

  • LoRA fine-tuning Hyperparameters Guide | Unsloth Documentation

Training

  • https://github.com/karpathy/autoresearch

Inference servers

  • https://github.com/ericcurtin/inferrs
  • GitHub - jundot/omlx: LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar · GitHub

Gateways

  • https://ngrok.ai

Graph View

  • Large Language Model (LLM)
  • Benchmarks
  • RAG
  • Search
  • Evals
  • Security
  • Local Models and Hosting
  • Fine-tuning
  • Training
  • Inference servers
  • Gateways

Backlinks

  • Retrieval Augmented Generation (RAG)

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