Lesson 1204 of 2116
Prompt Compression Techniques
Long prompts drive cost. Compression techniques (LLMLingua, manual) reduce tokens while preserving quality.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2prompt compression
- 3tokens
- 4cost
Concept cluster
Terms to connect while reading
Section 1
The premise
Long prompts drive cost; compression techniques reduce tokens while preserving quality when done well.
What AI does well here
- Manually compress prompts (remove redundancy, tighten language)
- Use compression tools (LLMLingua) where supported
- Test quality after compression
- Maintain quality vs cost balance
What AI cannot do
- Compress without measuring quality
- Eliminate token cost entirely
- Substitute compression for use case clarity
Key terms in this lesson
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