Ollama cheatsheet

Here is a simple LLaMA (not Ollama) cheat sheet for everyday basic usage:

What is LLaMA? LLaMA (Large Language Model Meta AI) is an artificial intelligence model developed by Meta AI that can understand and generate human-like language. It’s a conversational AI designed to assist with various tasks, answer questions, and engage in discussions.

Versions of LLaMA:

1. LLaMA-7B: A 7 billion parameter model suitable for general-purpose conversations.
2. LLaMA-13B: A 13 billion parameter model for more complex and nuanced conversations.
3. LLaMA-33B: A 33 billion parameter model for advanced and specialized use cases.

Basic Commands:

1. Ask a question: Simply type your question, and LLaMA will respond with an answer.
2. Generate text: Provide a prompt or topic, and LLaMA will generate text based on that input.
3. Translate text: Use the /translate command followed by the language code (e.g., en for English) to translate text.
4. Summarize text: Use the /summarize command to summarize a piece of text.

Creative Ways to Use LLaMA:

1. Content creation: Use LLaMA to generate ideas, outlines, or even entire articles on a topic.
2. Language learning: Practice conversing with LLaMA in different languages to improve your language skills.
3. Writing assistance: Use LLaMA as a writing assistant to help with grammar, syntax, and style suggestions.
4. Conversation practice: Engage in conversations with LLaMA to improve your communication skills or prepare for interviews.
5. Research aid: Use LLaMA to find relevant information on a topic or provide insights on a particular subject.

Benefits of LLaMA:

1. Convenience: Access a vast knowledge base and conversational capabilities anytime, anywhere.
2. Improved productivity: Automate tasks, generate ideas, and receive assistance with writing and research.
3. Personalized learning: Engage in interactive conversations to learn new languages or improve communication skills.
4. Accessibility: LLaMA can assist users with disabilities, such as visual or hearing impairments, by providing text-based interactions.
5. Entertainment: Engage in fun and creative conversations with LLaMA, exploring topics like humor, art, or music.

Tips and Tricks:

1. Be specific: Provide clear and concise input to get the most accurate responses from LLaMA.
2. Use context: Give LLaMA some background information or context to help it understand your question or prompt better.
3. Experiment with different versions: Try out different LLaMA models (7B, 13B, or 33B) to see which one works best for your specific use case.
4. Keep conversations engaging: Ask follow-up questions and engage in discussions to get the most out of LLaMA’s capabilities.

I hope this cheat sheet helps you get started with using LLaMA! If you have any further questions or need more assistance, feel free to ask.