Mixture-of-Agents! 🧑‍🍳From @NousResearch:====="Mixture of Agents combines the models you can access into one. [...] The reference models answer in parallel. Your aggregator reads their responses and runs the task, calling tools and repeating the loop as needed."=====I think this looks really awesome! I am super excited about the multi model systems we are building at Weaviate. 🧬This emerging sample-and-judge pattern is incredibly powerful. I also like Perplexity's Model Council as an example

BIG PLACEMENT UPDATE FROM IIT PATNA! ₹56 LPA Placement Package | 200+ Internship Opportunities | Outstanding Career Outcomes In this special announcement, Prof. T. N. Singh, Director of IIT Patna, shares exciting placement achievements and internship opportunities that reflect the institute's commitment to academic excellence, innovation, and industry readiness.Discover how students are securing remarkable career opportunities, gaining valuable industry exposure, and preparing for leadership rol

Most diffusion language models make one network do two jobs at once — represent the clean context and denoise the noisy tokens. Those two goals pull the same weights in different directions. NVIDIA just split them apart.They released Nemotron-Labs-TwoTower — a block-wise autoregressive diffusion model built on the Nemotron-3-Nano-30B-A3B hybrid Mamba-2/attention/MoE backbone. It runs two towers: a frozen autoregressive context tower that processes clean tokens causally, and a trainable diffusion