🎉 v0.10.0 - 70 Skills Complete!
The AI Research Engineering Skills Library has reached its 70-skill milestone!
🆕 New Skills in This Release
- Lambda Labs - Reserved/on-demand GPU cloud with H100/A100, persistent filesystems, 1-Click Clusters
- Segment Anything (SAM) - Meta's zero-shot image segmentation with points/boxes/masks
- BLIP-2 - Vision-language pretraining with Q-Former, image captioning, VQA
- AudioCraft - Meta's MusicGen/AudioGen for text-to-music and text-to-sound
📊 Library Stats
- 70 skills across 18 categories
- ~115,000 lines of documentation
- 58 gold-standard skills with comprehensive references
- Full AI research lifecycle coverage
📦 Categories
| Category | Count | Highlights |
|---|---|---|
| Model Architecture | 5 | Megatron-Core, LitGPT, Mamba |
| Fine-Tuning | 4 | Axolotl, PEFT, Unsloth |
| Distributed Training | 5 | DeepSpeed, FSDP, Ray Train |
| Infrastructure | 3 | Modal, SkyPilot, Lambda Labs |
| Optimization | 6 | Flash Attention, GPTQ, AWQ |
| Inference & Serving | 4 | vLLM, TensorRT-LLM, SGLang |
| Agents | 4 | LangChain, LlamaIndex, CrewAI |
| RAG | 5 | Chroma, FAISS, Pinecone, Qdrant |
| Multimodal | 7 | CLIP, Whisper, LLaVA, SAM, BLIP-2, AudioCraft |
| Emerging Techniques | 6 | MoE, Model Merging, Long Context |
⚠️ Pre-release Note
This is a pre-release. Skills are functional but still undergoing battle-testing in production environments. Feedback welcome!
Full Changelog: https://github.com/zechenzhangAGI/AI-research-SKILLs/commits/v0.10.0