Should you go with fine-tuning, specialized AI, or RAG? Honestly, the right approach depends on the problem. This week, dig into all three with 40% off all MEAPs: • LLM Customization and Fine-Tuning by @bahree: hubs.la/Q04xhgrj0 • Building Specialized AI Systems by Walid Amamou and @AlessandroNegro: hubs.la/Q04xhgqv0 • Build an Advanced RAG Application (From Scratch): hubs.la/Q04xhglX0 And everything else is 30% off. Move beyond the out-of-the-box model by choosing the approach that fits what you're actually trying to solve.

Hallucinations are fine when you’re playing with AI. Not when your data’s on the line. Knowledge Graphs and LLMs in Action by @AlessandroNegro, @giuseppe_futia, & co-authors shows how to keep LLMs grounded. Now in print — 50% off with code negro2pb thru 10/29: hubs.la/Q03Nw9nh0

🏷️Deal of the Day🛒 Start making better decisions based on data by putting knowledge graphs into action: mng.bz/J29z @AlessandroNegro @giuseppe_futia @VlastaKus #knowledgegraph #graphdatascience #GNN

🏷️Deal of the Day🛒 Start making better decisions based on data by putting knowledge graphs into action: mng.bz/J29z @AlessandroNegro @giuseppe_futia @VlastaKus #knowledgegraph #graphdatascience #GNN

🏷️Deal of the Day🛒 Discover the power graph-based machine learning! Upgrade your #ML models with graph-based algorithms, the tool that makes light work of your large #data sets: mng.bz/drZg @AlessandroNegro #neo4j #DataScience #AI #NLP