User: Where can I learn more about LLMs?
Assistant: You can learn more about Large Language Models (LLMs) from a variety of resources depending on your learning preferences and background. Here are some recommendations:

### Online Courses and Tutorials
- **Coursera / edX / Udacity**: Look for courses on natural language processing (NLP), deep learning, and AI that cover LLMs in detail.
  - Examples: 
    - *Deep Learning Specialization* by Andrew Ng (Coursera) 
    - *Natural Language Processing with Attention Models* (Coursera)
- **Fast.ai NLP Course**: Practical course focusing on building language models.
- **Hugging Face Course**: Offers practical tutorials on transformers and LLMs.

### Books
- *Deep Learning* by Ian Goodfellow, Yoshua Bengio, and Aaron Courville — foundational concepts.
- *Natural Language Processing with PyTorch* by Delip Rao and Brian McMahan — practical NLP and language models.
- *Transformers for Natural Language Processing* by Denis Rothman — focused on transformer architectures underlying LLMs.

### Research Papers and Articles
- Read seminal papers like:
  - *Attention Is All You Need* (Vaswani et al., 2017) — introduces the Transformer architecture.
  - *BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding* (Devlin et al., 2018).
  - *GPT* series papers by OpenAI.
- Blogs and newsletters:
  - The Gradient
  - Distill.pub
  - Sebastian Ruder’s blog on NLP
  - Hugging Face blog for practical updates

### Documentation and Code Repositories
- **Hugging Face Transformers library** — extensive documentation and tutorials.
- **OpenAI API docs** — understand how LLMs are used in practice.
- Explore GitHub repositories for implementations of various LLMs.

### Communities and Forums
- **Reddit** (r/MachineLearning, r/LanguageTechnology)
- **Stack Overflow** (for technical questions)
- **AI and NLP Discord servers**
- **Twitter** — follow researchers and practitioners in the field.

By combining these resources, you can build both theoretical understanding and practical skills related to LLMs. If you want, I can also help you find specific resources tailored to your current knowledge level or interests!
User: How to learn n8n most efficiently?
Assistant: To learn **n8n** (a popular open-source workflow automation tool) most efficiently, here’s a step-by-step approach:

### 1. Understand What n8n Is
- Get a clear idea of what n8n does: automation of workflows by connecting apps and services.
- Familiarize yourself with its key concepts: nodes, workflows, triggers, and executions.

### 2. Official Resources
- **n8n Documentation**  
  Start with the official docs: [docs.n8n.io](https://docs.n8n.io)  
  It’s comprehensive, beginner-friendly, and covers setup, node usage, and advanced features.
  
- **n8n Beginner Tutorials**  
  Check out their [YouTube Channel](https://www.youtube.com/c/n8n-io) which has step-by-step tutorials and demos.

- **n8n Community Forum**  
  Join [community.n8n.io](https://community.n8n.io) to ask questions, see examples, and engage with other users.

### 3. Hands-On Practice
- **Install n8n locally or use the cloud version**  
  Try creating simple workflows, like sending notifications from one app to another.
  
- Start with common use cases:  
  - Automate email notifications  
  - Connect Google Sheets with Slack  
  - Create workflows triggered by form submissions

### 4. Online Courses and Tutorials
- Look for beginner tutorials on platforms such as YouTube or Udemy. Some popular tutorials:
  - "n8n Automation for Beginners" on YouTube  
  - Udemy courses on workflow automation (search "n8n" or "workflow automation")  

### 5. Explore Advanced Features Gradually
- Once comfortable, explore:
  - Custom JavaScript code in Function nodes  
  - Use of Webhooks and APIs to integrate with services not natively supported  
  - Understanding how to use expressions and variables effectively
  
### 6. Join the Community and Stay Updated
- Follow n8n on Twitter and GitHub to keep up with new features.
- Participate in community challenges or hackathons if available.

### 7. Build Real Projects
- The best way to learn efficiently is by building workflows relevant to your own tasks or business.
- Experiment with automation to solve repetitive tasks.

---

If you’d like, I can recommend specific beginner-friendly tutorials or help you create your first workflow!
User: What are the best obsidian tools?
Assistant: