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Large Language Models
Unit 1
How LLM works
Neural Network Architecture of LLM
Training and Fine-Tuning LLMs
Language Modeling and Generation
Unit 2
What is RAG
Introduction to RAG
Retrieval Component of RAG
Generation Component of RAG
Unit 3
Langchain Basics using Javascript
Introduction to Langchain
Setting Up Langchain with Javascript
Working with Langchain Data in Javascript
Implementing Smart Contracts in Langchain with Javascript
Interacting with Langchain APIs using Javascript
Unit 1 • Chapter 3
Language Modeling and Generation
Summary
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Concept Check
What is an important task in Language Modeling and Generation?
Translating text to another language
Extracting keywords from text
Generating coherent and fluent text
Counting words in a document
What helps improve the quality of generated text in Language Modeling?
Fine-tuning a pre-trained language model
Increasing the word count
Using a smaller training dataset
Applying less complex language models
Why is Language Modeling important in natural language processing tasks?
It helps predict and generate word sequences
It calculates the length of sentences
It simplifies text by removing context
It identifies punctuation marks accurately
How can Language Generation be used in chatbots and virtual assistants?
To generate human-like responses to user queries
To count the number of words in a sentence
To remove grammatical errors in text
To translate text to multiple languages
What is a common challenge in Language Generation?
Ensuring coherence and relevance in generated text
Increasing the font size of text
Using a basic language model
Ignoring punctuation marks in text
Check Answer
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Training and Fine-Tuning LLMs