Psst… 🤫 Wazoku Crowd and Technology Innovation Institute are currently running an opportunity for building systems to #crowdsource data labels for use in AI feedback. Check it out below! https://lnkd.in/ewdZ6Tee ⏰ Proposals due in for 14/03 🏆 Awards of $30k, $15k, and $5k available We agree with Invisible Technologies - better data makes for better models. Easier and more scalable ways to gather labeled samples will help advance this further! ♾️ #RLHF #TII #Invisible #AI #WazokuCrowd
AI adoption is facing a paradox: billions have been invested in AI capabilities that fail to deliver business outcomes. The culprit? Not technology limitations, but data quality. While everyone chases massive datasets, the truly competitive edge now comes from targeted supervised fine-tuning (SFT) datasets. It's no longer about how much data you have, but how effectively you refine your models with specialized, high-quality data. The results speak for themselves: - Enhanced domain-specific performance - Significantly lower compute costs - Improved model reasoning across complex tasks The winners in the AI race won't be those with access to the most data, but organizations that can seamlessly blend human expertise with technological capability to create carefully curated datasets that solve real business problems. What's your experience with fine-tuning? Has your organization moved beyond the volume game to quality-focused approaches? #Invisible #SFT #EnterpriseAI #DigitalTransformation #AIStrategy