Making slides manually feels especially painful now that you know Cursor for slides should exist but doesn’t.

We're excited to announce the winners of the first LlamaCon Hackathon! These talented individuals and teams have demonstrated exceptional skill and creativity in their projects using Llama. 🥇 1st Prize: OrgLens An AI-powered expert matching system that connects you with the right professionals within your organization. By leveraging data from various sources, OrgLens creates a comprehensive knowledge graph and detailed profiles, streamlining expert matching. See their GitHub Repository: bit.ly/4k62WaO @KPJedrzejewski, @clemhus 🥈 2nd Prize: Compliance Wizards An AI-powered transaction analyzer designed to detect fraud and alert users. It uses Llama API’s multi-modality to assist fraud assessors in determining client involvement in criminal activities. See their GitHub Repository: bit.ly/3RRxiBS @SamDc73, @k_a__reem, @nicetomeetyu2, @sorhanft 🥉 3rd Prize: Llama CCTV Operator A Llama CCTV AI control room operator that identifies custom surveillance video events without model fine-tuning. It uses Llama 4’s multi-modal image understanding to assess and report predefined events. See their GitHub Repository: bit.ly/4d9UPrw @torayeff 🌟 Best Llama API Usage: Geo-ML This project uses Llama 4 Maverick and GemPy to generate 3D geological models, processing extensive geology reports into structured data for 3D representations. See their GitHub Repository: bit.ly/3GITT15 @WilliamJSDavis Please join us in congratulating these winners on their outstanding achievements! We're honored to have them as part of the Llama community. 🎉

Open LLMs need to get organized and co-ordinated about sharing human feedback. It's the weakest link with Open LLMs right now. They don't have 100m people giving feedback like in the case of OpenAI/Anthropic/Bard. They can always progress with a Terms-of-Service arbitrage, but no at-scale customer would touch models fine-tuned with sketchy Human-alignment data "synthesized from" GPT-4. I was hoping @huggingface plugged this gap, but if we're honest about the Open movement, what we're doing is not enough. Lots of products need to connect into Open models and publish human feedback as legitimate large-scale open datasets.