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CS109A Data Science course materials @Harvard are free and open to everyone!
1. Lecture notes
2. R code, Python notebooks
3. Lab material
4. Advanced sections
Learn here: https://t.co/CriMdwEkCD
4 simple ways to reduce the cost of using GPT-4 by up to 98% (and improve accuracy at the same time).
1. Combine prompts: Join two or more queries to make a single API call instead of multiple separate calls.
2. Prompt selection: Decrease prompt size by selecting a small optimal subset of examples for the LLM.
3. Caching: Store and reuse the LLM’s response when a similar query is asked.
4. LLM Cascading: First send the API request to a smaller model, then move onto a larger model (i.e. GPT-4) only if results are insufficient.
"Our experiments show that FrugalGPT can save up to 98% of the inference cost of the best individual LLM API while matching its performance on the downstream task. On the other hand, FrugalGPT can improve the performance by up to 4% with the same cost."
- authors: @james_y_zou, @matei_zaharia
paper: https://t.co/EiAetTlRkv
I built a ChatGPT @Lex_Fridman plugin that allows to chat with the collective wisdom contained across 499 of Lex's podcasts and videos... Here's how I built it 🧵
#ChatGPT#ArtificialIntelligence#nlproc#OPStack