Weka today withdrew the cover from its latest product, Neuralmesh, which is a re-introduction of its distributed file system, which is designed to handle the expanding storage and serving needs-as the latency requirements and resistance- Weka described Neuralmesh as “Fully containerized architecture based on a tap, which smoothly combines data, storage, calculation and service AI.” … Read more
(Diyajiots/shutterstock) Critical security security security security, which could allow attackers to easily access private data, serves as a demonstration of real security risks of generative AI. The good news is that while CEOs are above AI, professionals urge to invest more investment in security and privacy, they show studies. Microsoft’s vulnerability, called Echoleak, was listed … Read more
(Family stock/Shutterstock) On the market for the new learning platform (DSML) for data science? People in Gartner have compiled a document that ranks the best DSML platform providers in the field. This year, Databricks took the number one slot after sharing last year with Microsoft and Google. For its magic quadrant 2025 for DSML platforms … Read more
(13_PHUNKOD/Shutterstock) Generation search (RAG) is now accepted part of the Generatif AI (Genai) workflow and is widely used to feed your own data into AI. While rag works, calls to external tools can add complexity and latency, which led people in Mongodb to work with in-database technology to speed up the thing. As one of … Read more
(Garrykillian/Shutterstock) Fine fine -tuning is the decisive process in optimizing the performance of pre -trained LLM. It includes further training of the model on a smaller, more specific data set adapted to a specific task or domain. This process allows a large language model (LLM) to adapt your existing and ability to excel in specific … Read more