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Duration 14 hours
Course Outline
Fundamentals of Large Language Models (LLMs)
- Defining LLMs and their importance in the AI landscape
- Tracing the historical progression and evolution of language models
- Surveying prominent LLMs currently in the industry
Deep Dive into DeepSeek LLM
- Introduction to DeepSeek and its commitment to open-source principles
- Highlighting key features and strengths of the DeepSeek LLM
- Examining the DeepSeek-R1 and DeepSeek-V3 models and their distinct capabilities
Accessing and Setting Up DeepSeek LLM
- Steps for gaining online access to DeepSeek LLM and its models
- Learning to navigate the interface and locate available resources
- Overview of support channels and community discussion forums
Real-World Uses of DeepSeek LLM
- Leveraging DeepSeek LLM for generating and summarizing text
- Applying it for language translation and sentiment analysis
- Reviewing business use cases such as customer support, content development, and data insights
Practical Exercises
- Investigating DeepSeek-R1 for text analysis and automation tasks
- Applying DeepSeek-V3 to natural language understanding challenges
- Developing a simple chatbot or text summarizer with DeepSeek models
Ethics and Responsible Use
- Reflecting on the ethical dimensions of deploying AI models
- Maintaining data privacy and adhering to regulatory standards
- Embracing best practices for responsible AI deployment
Looking Ahead: Trends and Progress
- Identifying emerging trends in AI and language model evolution
- Discussing the future role of open-source models like DeepSeek-R1 and DeepSeek-V3 in AI
- Exploring avenues for continued learning and career advancement
Recap and Forward Planning
Requirements
- A foundational understanding of AI and machine learning concepts
- No previous hands-on experience with DeepSeek LLM is required
Who Should Attend
- Technology enthusiasts eager to stay current with AI innovations
- Business professionals looking to comprehend how AI models apply across different sectors
