Deep Learning Weekly: Issue 460
Deep Learning Weekly Miko Planas
Deep Learning Weekly issue 460 covers multiple AI model releases and research advances, including Moonshot AI's Kimi K2.7 Code with 1T parameters achieving 31.5% benchmark improvements, Stanford's DeLM reducing multi-agent task costs by 50%, and Z.ai's GLM-5.2 with 753B parameters and 1M-token context window. Research papers include Data Journalist Agent for automated multimodal news generation and FastContext for specialized repository exploration in coding agents, which reduces token consumption by up to 60% while improving task resolution rates by 5.5%. The issue also features tools for LLM observability, cost optimization techniques for Claude Code, and infrastructure developments in multimodal model serving.
Why it matters
GLM 5.2, Understanding Your Claude Code Spend: What’s Actually Driving the Cost, a paper on Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories, and many more!