According to Andrew Ng (@AndrewYNg), Redisinc experts @tchutch94 and @ilzhechev have launched a new course on semantic caching for AI agents. This course demonstrates how semantic caching technology ...

User-friendly interface - no coding required Real-time search with instant results Visual employee cards with similarity scores Multiple search modes in one interface sim_search_chromadb/ ├── ...

2025 brought a strange convergence: College essays and colonoscopies both demonstrated what can happen when artificial intelligence (AI) leads the work. First came the college data: An MIT team ...

Daniel is a News Writer from the United Kingdom. Relatively new to the industry with almost three years of experience, he has focused on establishing himself in the gaming space. While he focuses on ...

Data shows AI growth is slowing while search usage edges higher – with heavy AI users actually turning to Google search more often. More than 1 in 5 Americans now use AI tools heavily – but ...

Abstract: This paper outlines a movie recommendation system that has been proposed and implemented using Python and Streamlit and which relies on content-based filters solely to recommend films that ...

Younger generations are shifting toward specialized, multi-platform search, and surprisingly high trust in AI is accelerating the trend, according to new survey data. Why we care. Searching is no ...

I am trying to finetune mini-lm-l6-v2 model using trainer and using cosine similarity loss. I have a dataset of 30M annotated pairs containing both positive and ...

Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences. The process relies on analyzing ...