Description:
Large Language Models (LLMs) like GPT-4 (the model you're interacting with right now) are a type of artificial intelligence designed to understand and generate human language. They are based on deep learning techniques, specifically using a type of neural network called a transformer. These models are trained on vast amounts of text data to learn patterns in language, grammar, and even some level of factual information, enabling them to perform tasks like text generation, summarization, translation, question-answering, and more.
Course Curriculum
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- Module - 1 Introduction (1:20)
- What are LLMs (2:42)
- History of LLM (3:34)
- Types of language model (4:52)
- Statistical vs neural model (1:13)
- Applications and impact (1:55)
- Rise of transformers (4:04)
- Understanding LLMs (1:39)
- Quiz - 1
- Types of LLMs (3:13)
- Core Components of LLM (3:30)
- Decoding Stratagies (2:56)
- Applications of LLMs (3:22)
- Machine Translation (1:48)
- Conversational abilities (3:11)
- Security and privacy concerns (2:22)
- Future of LLM (1:45)
- Quiz - 2
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