Real ChatGPT answer · index seedthe8IG1m9mAcompleteB2B software · AI and automation toolsinformational
Is it possible to fine-tune an open-source model like Llama 3 on our own customer support logs without spending a fortune on cloud GPUs?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is it possible to fine-tune an open-source model like Llama 3 on our own customer support logs without spending a fortune on cloud GPUs?
1 real search · 1 real-search pass
Hugging Face TRL SFTTrainer PEFT QLoRA documentation Llama 3 8B memory requirements customer support fine tuning data privacyGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Hugging Face TRL SFTTrainer PEFT QLoRA documentation Llama 3 8B memory requirements customer support fine tuning data privacy Google ↗
- PEFT Integration · huggingface.co
- blog/llama3.md at main · huggingface/blog · github.com