#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
I quit my job to build a zombie extraction shooter with destructible environments and AI that react dynamically. We've made solid progress. Should I continue on this idea #PVE.
https://redd.it/1lvftfk
by @r_gifs
⚡️Gatto Official Channel: PvE Mode Prologue Released
#Gatto#PvE
The Gatto Official Channel announces the release of the PvE Prologue mode, featuring story-driven gameplay and new mechanics. This marks a significant development step, inviting players to engage deeply with the world and its untold stories. To start, head to "Battle Mode" and choose PvE.
Source: link
@tonlines
⚔️AMAZING PVE GAMEPLAY IN ORBITAU ⚔️
💠 Testnet for Orbitau will be available shortly. In order to help you prepare, here is a very attractive gameplay clip from Chapter 1 of Map Foras.
🚦 Reveal more about Orbitau's gameplay: https://blog.orbitau.io/post/amazing-pve-gameplay
💡 Be sure to stay tuned for updated information about the upcoming testnet.
⚡️ BUT FIRST, FILL YOUR WALLET WITH SUFFICIENT $TAUM TO BUY IMMORTAL EGGS THAT WILL BE ON SALE THIS MARCH 14!
#Orbitau#PvE#gameplay#ORI#TAUM
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