An LLM is a lossy encyclopedia
12 days ago
- #AI Limitations
- #LLM
- #Knowledge Compression
- LLMs are likened to a lossy encyclopedia due to their compressed knowledge which may lose detail.
- Understanding the types of questions an LLM can answer versus those where lossiness affects accuracy is crucial.
- A specific example illustrates that LLMs may not know extremely niche information unless provided with the correct data.
- The solution for niche queries is to supply the LLM with the necessary facts to work from.
- Recent articles highlight cultural events and LLM-related topics, including prompt injections and performance inconsistencies.