One of the biggest selling points for modern AI systems is their ability to adapt to users. Every time an AI assistant takes on a task for you, it’s also adapting to your style and preferences, which ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Google AI Studio lets users test Gemini models, build apps, generate media, and export code. Here’s what it does, costs, and where it falls short. For years, building software meant setting up local ...

Large language models become static after pretraining. Their knowledge does not update as the world changes. Retraining a full LLM is too expensive at modern scales. Fine-tuning risks degrading ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Shawn Shen believes that AI will need to remember what it sees in order to succeed in the physical world. Shen’s company Memories.ai is using Nvidia AI tools to build the infrastructure for wearables ...

Passionate and pragmatic Software Engineer at the intersection of backend, data engineering, and developer tooling. I’ve started my programming journey more than 8 years ago with a book on learning ...

bySibasis Padhi|@sibasispadhiStaff Software Engineer at Walmart Inc. Expert in Agentic AI Microservices & Cloud Performance Optimization Expert for Fintech Solutions. While issues like String ...

Abstract: Garbage collection (GC) is a critical memory management mechanism within the Java Virtual Machine (JVM) responsible for automating memory allocation and reclamation. Its performance affects ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...