Challenges of language modeling
Large Language Models (LLMs) Concepts
Vidhi Chugh
AI strategist and ethicist
Sequence matters!
I
only
follow a healthy lifestyle.
Different positions = different meanings
Only
I follow a healthy lifestyle.
1
Freepik
Context modeling
Context modeling
Context modeling
Context modeling
Context modeling
Long-range dependency
Recognize and connect distant words in a sentence
Challenging for traditional language models
Single-task learning
Time and resource expensive
Less flexible compared to modern LLMs
Multi-task learning
Improved performance on each individual task
Might impact accuracy and efficiency
Less training data needed because data is shared
To recap
Challenges of language modeling:
Word sequences
Understanding context
Long-range dependency
Single-task learning:
Task-specific
Less flexible
Traditional models and early LLMs
Multi-task learning:
Versatile
Multiple tasks
More developed LLMs
Let's practice!
Large Language Models (LLMs) Concepts
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