DeepSeek AI Model Training in Madrid, Spain

This training on DeepSeek AI Model provides hands-on experience in deploying, fine-tuning, and optimizing DeepSeek LLM for various AI applications. Participants will learn how to use DeepSeek for NLP tasks, integrate it with applications, and optimize model performance. This training is ideal for AI engineers, data scientists, and developers looking to work with advanced LLMs.

DeepSeek AI Model Fundamentals

• Module 1: Introduction to DeepSeek AI
  • Overview of LLMs and DeepSeek’s architecture
  • Capabilities and limitations of DeepSeek
  • Use cases across industries
• Module 2: Setting Up DeepSeek for Development
  • Installing dependencies and environment setup
  • Running DeepSeek on local/cloud infrastructure
  • Understanding API access and model invocation

Fine-Tuning & Model Optimization

• Module 3: Fine-Tuning DeepSeek for Custom Applications
  • Data preparation and annotation for fine-tuning
  • Training DeepSeek on domain-specific datasets
  • Evaluating model performance after fine-tuning
• Module 4: Optimizing Model Inference
  • Techniques to reduce latency and enhance response speed
  • Memory management and computational efficiency
  • Comparing different DeepSeek model variants for performance

Integration & Real-World Use Cases

• Module 5: API Integration with Applications
  • Calling DeepSeek API for text generation, summarization, and chatbots
  • Implementing DeepSeek in a web application
  • Handling rate limits and optimizing API calls
• Module 6: Implementing Use Cases with DeepSeek
  • Building a chatbot with DeepSeek AI
  • Text summarization and content generation case studies
  • Future trends and advancements in LLMs
• Hands-On Labs