- https://github.com/preset-io/promptimize
- simple prompt engineering training from anthropic https://docs.google.com/spreadsheets/d/19jzLgRruG9kjUQNKtCg1ZjdD6l6weA6qRXG5zLIAhC8/edit?gid=150872633#gid=150872633 (Anthropic's Prompt Engineering Interactive Tutorial [PUBLIC ACCESS])
- https://github.com/ajndkr/lanarky
- https://github.com/deepset-ai/haystack (with Elasticsearch)
- unstract.com LLM whisperer https://pg.llmwhisperer.unstract.com/
- https://cloud.llamaindex.ai llamaparse
- https://github.com/DS4SD/docling
- https://github.com/VikParuchuri/marker
- https://github.com/QuivrHQ/MegaParse
- https://github.com/microsoft/markitdown
- https://github.com/opendatalab/PDF-Extract-Kit
- https://github.com/NVIDIA/garak
- https://github.com/Azure/PyRIT
- https://www.promptfoo.dev/docs/red-team/quickstart/
- https://github.com/mbrg/power-pwn
- https://theyseeyourphotos.com/
- https://www.404media.co/email/f459caa7-1a58-4f31-a9ba-3cb53a5046a4/
- https://www.npr.org/2024/12/10/nx-s1-5222574/kids-character-ai-lawsuit
- https://bsky.app/profile/pedram.lol/post/3lbxzc34th22y
- https://www.heise.de/news/Copilot-macht-aus-einem-Gerichtsreporter-einen-Kinderschaender-9840437.html
- https://github.com/leondz/garak
- https://www.youtube.com/watch?v=qyTSOSDEC5M
- https://gandalf.lakera.ai/baseline genAI security training
- https://www.heise.de/news/ChatGPT-Code-mit-betruegerischer-API-kostet-Programmierer-2500-US-Dollar-10169146.html
- https://microsoft.github.io/presidio/analyzer/
- https://www.promptfoo.dev/docs/red-team/quickstart/
- https://github.com/mbrg/power-pwn
- https://www.youtube.com/watch?v=-YJgcTCSzU0
- https://www.youtube.com/watch?v=LcLrG_4i19E
- https://www.youtube.com/watch?v=LcLrG_4i19E
- https://arxiv.org/pdf/2302.04222 glaze
- https://arxiv.org/pdf/2310.13828 night shade
- https://huggingface.co/docs/peft/index
- https://github.com/unslothai/unsloth
- https://github.com/axolotl-ai-cloud/axolotl
- https://github.com/Lightning-AI/litgpt
- https://github.com/hiyouga/LLaMA-Factory
- tool lists
- https://github.com/microsoft/DeepSpeed
- https://pytorch.org/tutorials/distributed/home.html
- https://lightning.ai/docs/pytorch/stable/
- https://github.com/hpcaitech/ColossalAI
- https://github.com/open-webui/open-webui
- https://lmstudio.ai/
- https://opencat.app/en/
- https://docs.chainlit.io/get-started/overview
- https://www.gradio.app/
- https://streamlit.io/
- https://github.com/llmware-ai/llmware
- https://github.com/infiniflow/ragflow?tab=readme-ov-file
- https://github.com/Filimoa/open-parse
- rag tools
- explanation videos
on demand AI clusters
- all the public cloud providers (though they often do not focus on offering a simple/streamlined GPU experience for researchers)
- https://hpc-ai.com
- https://lambdalabs.com/service/gpu-cloud/1-click-clusters
- https://vast.ai/
- https://www.paperspace.com
- https://huggingface.co/spaces
- https://colab.research.google.com/
- https://www.anyscale.com
- https://www.fluidstack.io
- https://www.runpod.io/