Introduction to DeepSeek

                                
# Example: Generating text using DeepSeek API
  import requests\nAPI_KEY = 'your_api_key_here'
  response = requests.post('https://api.deepseek.com/v1', json={'prompt': 'Write a short story'}, headers={'Authorization': f'Bearer {API_KEY}'})
  print(response.json())

                              

                                
# Example: Understanding Transformer model layers
  from transformers import AutoModel
  model = AutoModel.from_pretrained('deepseek/base')
  print(model)

                              

                                
# Example: Summarizing text with DeepSeek
  summary_prompt = 'Summarize the following text: Artificial Intelligence is transforming the world.'
  response = requests.post('https://api.deepseek.com/v1', json={'prompt': summary_prompt}, headers={'Authorization': f'Bearer {API_KEY}'})
  print(response.json())

                              

                                
# Example: DeepSeek vs. Other AI Models (conceptual comparison)
  # DeepSeek focuses on optimized memory handling and adaptive responses compared to traditional models.