LLM Basics
This course provides a comprehensive introduction to Large Language Models (LLMs), focusing on what they are, how to build them using PyTorch, and how to use them for inference in language tasks. Participants will learn about the history of LLMs, how LLMs fit into the larger AI/Generative AI landscape, neural-network-based language models, and how to use RNNs, LSTMs, and transformers for natural language processing tasks.
22 courses found
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- Delivery Format: Virtual Learning
- Date 16-17 February, 2026 | 8:30 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 19-20 February, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 19-20 March, 2026 | 8:30 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 19-20 March, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 14-15 April, 2026 | 8:30 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 16-17 April, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 11-12 May, 2026 | 8:30 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 14-15 May, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 15-16 June, 2026 | 8:30 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 18-19 June, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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