Hello,
This is Oleg, CEO of GoPractice.
There is a range of scenarios in which users and businesses can benefit from the Large Language Model (LLM). For example, it can help navigate users through your product or advise them on purchasing the exact item they need.
It’s always worth keeping in mind, though, that the model’s knowledge is limited by its training dataset. Thus, it won’t be able to provide accurate information about your product if this information wasn’t included in said dataset.
In today’s edition, we look into Retrieval-Augmented Generation (RAG), through which we can enrich the prompt with knowledge that was absent from the training dataset. We explain the idea behind RAG, its benefits and limitations, and provide various case studies.
🔗 https://gopractice.io/skills/improving-product-quality-with-llm-rag/ Last call for the limited offerWe want to remind you of the unique opportunity for women in tech!
Until July 31st, we are offering a special price on our “AI/ML simulator for product managers” exclusively for women—just $650 instead of our standard price of $1,190. To buy the course at this price, fill out the form. | 
