Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your machine.

[Andrej Karpathy] recently released llm.c, a project that focuses on LLM training in pure C, once again showing that working with these tools isn’t necessarily reliant on sprawling development ...

In the AI era, the problem with being a technological follower is the constant risk of having the rug pulled from under you, ...

Singapore boards adopting LLMs must rethink AI risk, governance, and cyber resilience as deployments scale across enterprises. The post Inside the LLM: What Singapore boards should know appeared first ...

We moved away from an LLM-first approach and shifted toward a code-first architecture with bounded AI assistance.

The idea is that you restrict the training data provided to the model to material published before a given date. In the case ...

GAMUDA Technologies, the technology and full-stack artificial intelligence (AI) arm of Gamuda Bhd, is unveiling Wira, a ...

According to a 2025 survey by Global Market Insights, the top five providers—Anthropic, AWS, Google, Microsoft and ...

Since 2012, the British literary magazine Granta has published the regional winners of the annual Commonwealth Short Story ...

The company’s full-stack AI investments have transitioned from incubation to large-scale commercialization across models, ...