Long Context Isn’t Memory
📰 Medium · LLM
Understand the difference between long context and memory in LLMs and how it impacts their performance
Action Steps
- Read the series of articles on Medium to understand the context
- Compare RAG and CAG models to identify their strengths and weaknesses
- Apply the concepts of long context and memory to your own LLM projects
- Test the performance of your models with different context lengths
- Analyze the results to optimize your model's performance
Who Needs to Know This
ML engineers and researchers can benefit from this article to improve their understanding of LLMs and optimize their models
Key Insight
💡 Long context and memory are distinct concepts in LLMs, and understanding their differences is crucial for optimal performance
Share This
💡 Long context isn't memory in LLMs. Understand the difference to optimize your models
Key Takeaways
Understand the difference between long context and memory in LLMs and how it impacts their performance
Full Article
This is part three in a short series (written over a long time). In part one I walked through RAG versus CAG. In part two I showed five… Continue reading on Medium »
DeepCamp AI