https://yakinin.com/en/tags/%23deeplearning/ Recent content in #DeepLearning on Home Hugo -- 0.148.2 en Mon, 12 May 2025 00:00:00 +0000 https://yakinin.com/en/posts/20250512-ai-startup-invisible-progress/ Mon, 12 May 2025 00:00:00 +0000 https://yakinin.com/en/posts/20250512-ai-startup-invisible-progress/ <p>Over the past few days, our team has pushed through a massive amount of work on A.V.E.L.I.N. This is a crucial stage where the product changes very little on the surface, but internally, we&rsquo;re implementing dozens of architectural decisions, refining core logic, and running extensive tests.</p> <p>A.V.E.L.I.N is learning to understand not just words, but intent. It can already select the most effective model for a given context and analyze queries from voice and video, not only text. We are intensely focused on making the interaction feel fluid and organic.</p> https://yakinin.com/en/posts/20250801-deepseek-v3-local-performance/ Thu, 27 Mar 2025 11:22:11 +0000 https://yakinin.com/en/posts/20250801-deepseek-v3-local-performance/ <div style="display: flex; justify-content: center; gap: 1em; flex-wrap: wrap;"> <img src="https://yakinin.com/img/20250801-deepseek-v3-local-performance-0.jpg" style="max-width: 350px; width: 100%;" /> </div> <p>DeepSeek has once again followed its &ldquo;quiet release&rdquo; strategy, making its new DeepSeek-V3-0324 model available on Hugging Face without any major announcements. Instead of marketing hype, they&rsquo;ve simply delivered a solution for the community to evaluate.</p> <p>I tested the model locally on a Mac Studio equipped with an M3 Ultra chip and saw impressive performance, generating over 20 tokens per second. This marks a significant acceleration for running capable models on local hardware, making it a viable option for developers.</p>