Master AI, machine learning, LLMs, prompt engineering, and blockchain development. Use when building AI applications, working with LLMs, or developing smart contracts.
AI & Emerging Technologies Skill
Quick Start - OpenAI API
from openai import OpenAI
client = OpenAI(api_key="sk-...")
# Simple completion
response = client.chat.completions.create(
model="gpt-4",
messages=[
{"role": "system", "content": "You are helpful assistant"},
{"role": "user", "content": "Explain machine learning"}
],
temperature=0.7,
max_tokens=500
)
print(response.choices[0].message.content)
Core Technologies
AI & LLMs
- OpenAI API (GPT-4)
- Claude API (Anthropic)
- Open-source LLMs (Llama, Mistral)
- LangChain for applications
- Vector databases (Pinecone, Weaviate)
Machine Learning
- TensorFlow / PyTorch
- scikit-learn
- XGBoost
- Hugging Face Transformers
Blockchain & Web3
- Solidity for smart contracts
- Web3.js / Ethers.js
- Hardhat development
- Foundry
Game Engines
- Unity (C#)
- Unreal Engine (C++)
- Godot (GDScript)
Best Practices
- AI Ethics - Consider societal impact
- Testing - Rigorous evaluation
- Monitoring - Track model performance
- Documentation - Clear decision records
- Security - Smart contract auditing
- Cost Optimization - Minimize API usage
- Version Control - Track models and prompts
- Responsible AI - Bias and fairness
Resources
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