Long-context inference makes the KV cache one of the main costs of serving LLMs. During autoregressive decoding, the cache grows with context length, batch size, and model depth. At high batch sizes and long contexts with 100K tokens across dozens of concurrent requests the KV cache consumes a large fraction of GPU memory. Compressing it […]
This post demonstrates how Agentic AI and SAS Viya can modernize SME loan origination by combining OCR, LLMs, governed decisioning, and interactive dashboards to accelerate transparent, explainable, and scalable credit decisions. The post How Agentic AI Accelerates SME Credit Decisions with SAS Viya appeared first on SAS Blogs.
How Agentic AI Accelerates SME Credit Decisions with SAS Viya Read More »
Your AI agent is smart but forgetful. Every new session starts from zero — no memory of who you met, what you read, what you decided last Tuesday. GBrain is an open-source fix for that. Built by Garry Tan (President and CEO of Y Combinator) to power his own OpenClaw and Hermes deployments, it’s a
Alibaba’s Qwen team has unveiled Qwen3.7-Max, a flagship model built for the agent era. Unlike conventional chatbot-focused LLMs, it is designed as a foundation for autonomous AI agents that can code, debug, use tools, manage workflows, and execute long-running enterprise tasks. Alibaba claims the model can operate autonomously for up to 35 hours without performance
Building a single model that can both understand and generate images and videos is harder than it sounds. The two tasks pull in opposite directions. Understanding benefits from high-level semantic features tightly aligned with language. Generation needs low-level continuous representations that preserve texture, geometry, and temporal dynamics. Most systems handle this tension by separating the
Vector search underpins most retrieval-augmented generation (RAG) pipelines. At scale, it gets expensive. Storing 10 million document embeddings in float32 consumes 31 GB of RAM. For dev teams running local or on-premise inference, that number creates real constraints. A new open-source library called turbovec addresses this directly. It is a vector index written in Rust
Here are some good AI tool directories where you can submit your AI tool: Ailabhub Online – https://www.ailabhub.online/
Listen to the session or watch below Elon Musk lost his suit against OpenAI, in which he alleged CEO Sam Altman and President Greg Brockman had deceived him over the company’s non-profit status. Watch as AI reporter and attorney Michelle Kim, who covered the trial for MIT Technology Review, joins in conversation with editor in
Freight forwarding accounts payable is unlike any other AP function. Variable carrier costs, late vendor invoices, multi-currency settlements, customs duties, and shipment-level reconciliation make every invoice a financial puzzle. Manual AP processing absorbs these problems quietly until margins start to erode. PaperEntry AI: AP Invoice Automation from Deep Cognition is purpose-built to solve this. It
Cline became ‘agentic’ before it was cool, but building on the bleeding edge usually leads to some structural debt. Over time, the agent loop and the VS Code extension became a package deal—making it a headache to maintain or move to new environments. Its tough to just keep layering features on a rigid core. Cline,
