AI search engine Perplexity is introducing two new text embedding models designed to match or beat Google's and Alibaba's offerings at a fraction of the usual memory cost. Both models are open source.<br /> The article Perplexity open-sources embedding models that match Google and Alibaba at a fraction of the memory cost appeared first on The Decoder. [...]
Perplexity, the AI-powered search company valued at $20 billion, on Wednesday launched what it calls the most ambitious product in its three-year history: a multi-model agent orchestration platform ca [...]
Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]
Yesterday amid a flurry of enterprise AI product updates, Google announced arguably its most significant one for enterprise customers: the public preview availability of Gemini Embedding 2, its new em [...]
Alibaba's Qwen team of AI researchers have been among the most prolific and well-regarded by international machine learning community — shipping dozens of powerful generalized and specialized g [...]
Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory.This week, he published an open-sour [...]
When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access stati [...]
Alibaba dropped Qwen3.5 earlier this week, timed to coincide with the Lunar New Year, and the headline numbers alone are enough to make enterprise AI buyers stop and pay attention.The new flagship ope [...]
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]