AI systems fail because of a context gap—when decisions rely on incomplete, inconsistent and outdated data across systems.

Ashay Satav is a Product leader at eBay, specializing in products in AI, APIs and platform space across Fintech, SaaS and e-commerce. Model context protocol (MCP) has been the talk of the town lately, ...

One of the less discussed challenges in enterprise AI is context drift. Unlike training data, which is relatively static, ...

Chroma’s Context-1 is a 20B retrieval-augmented model that beats ChatGPT 5 on search, using agentic loops to improve relevance at low latency.

Add Yahoo as a preferred source to see more of our stories on Google. Large language models (LLMs) like OpenAI's GPT-4 are powerful, paradigm-shifting tools that promise to upend industries. But they ...

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

Contextual AI Inc., an artificial intelligence development startup founded earlier this year, exited stealth mode today with $20 million in seed funding. Palo Alto, California-based Contextual AI ...

The past ten years have seen incredible advancements in the realm of Artificial Intelligence, but paradoxically, some of the most overt shortcomings of AI are still based not on intelligence but on ...