Text Summarization for News Articles
PBL-AI1001
What You will Learn
The “Text Summarization for News Articles” project involves building a model to summarize long news articles into concise key points using small language models like DistilBERT. Over a 20-day period, working 3-4 hours a day, participants will learn key skills such as data collection, preprocessing, model training, optimization, and deployment. The project emphasizes the use of cloud resources with a focus on sustainability by leveraging smaller models to reduce carbon footprint. By the end, participants will have developed a summarization pipeline and gained hands-on experience in NLP, model fine-tuning, and deployment.
Job Opportunities
- AI Marketing Strategist.
- Digital Marketing Manager with AI expertise.
- Social Media Manager utilizing AI tools for engagement and analytics.
- Marketing Analysts focusing on AI-powered analytics and insights.
Duration Course
- 20 Days
- 60-80 Hours of Mentorship
- Projects
- 30 Course Videos
Course Content
Text Summarization for News Articles
- Data Collection & Preprocessing,
- Model Selection & Training,
- Model Optimization,
- Deployment & Testing
- Develop a summarization pipeline that reduces long news articles into key points
- Develop a summarization pipeline that reduces long news articles into key points
- Gain practical NLP, summarization, and LLM fine-tuning skills
- Use cloud resources (green cloud), implement the model with human feedback, use small models for carbon savings
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