Dear Chatbot Enthusiasts,Ready for some exciting news?We’ve got Google’s Gemini Team in our sights for the upcoming Chatbot Conference in San Francisco (Sept 24–26),...

Humans suck at almost everything. Yann LeCun recently pointed this out.And an infant sucks at everything (joke opportunity ignored) and a 4-year old knows some language but can't handle working at a factory. And if someone doesn’t know Math, they can't be a Math teacher.Queue up the scene in "I, Robot" where Will Smith's character asks "Can a robot compose a symphony? Can a robot turn a canvas into a beautiful masterpiece?" and the robot answers "Can you?"AIs can learn language and a couple problem domains that we want to use them for. Today. But if we want an AI to approve building permits at the local city offices, there's no need for it to...

Deepset and Mixedbread have taken a bold step toward addressing the imbalance in the AI landscape that predominantly favors English-speaking markets. They have introduced a groundbreaking open-source German/English embedding model, deepset-mxbai-embed-de-large-v1, to enhance multilingual capabilities in natural language processing (NLP). This model is based on intfloat/multilingual-e5-large and has undergone fine-tuning on over 30 million pairs of German data, specifically tailored for retrieval tasks. One of the key metrics used to evaluate retrieval tasks is NDCG@10, which measures the accuracy of ranking results compared to an ideally ordered list. Deepset-mxbai-embed-de-large-v1 has set a new standard for open-source German embedding models, competing favorably with commercial alternatives. The...