MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

It’s increasingly recognised that moving from prompts to context is critical for achieving scalable, adaptive high-impact ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Why static context don’t scale autonomy - durable agents require a living system that retains precedent, adapts as the business changes, and operates reliably.

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

Abstract: This study introduces Knowledge Augmented Question Generation (KAQG), an educational assessment framework that integrates Item Response Theory (IRT), Bloom’s Taxonomy, and knowledge graphs ...

According to @godofprompt, Microsoft has reported a 40% improvement in answer quality when utilizing graph-based Retrieval-Augmented Generation (RAG) compared to pure vector search, citing significant ...

According to God of Prompt (@godofprompt), top engineers at AI companies such as OpenAI, Anthropic, and Microsoft are moving beyond basic Retrieval-Augmented Generation (RAG) by prioritizing ...

The Indian Institute of Technology Bombay is offering a certification in generative AI for five months. Check the eligibility, how to apply, fees and other details.

Poisoned knowledge graphs can make the LLM hallucinate, rendering it useless to the thieves.

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake information.

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large. Some accounts estimate that AI is driving 90% of US GDP growth, while others ...