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Wonder, a London-based AI creative studio, has announced a $3 million funding round. The investment round included participation from key figures at ElevenLabs and OpenAI.

The UK's railway system has introduced artificial intelligence technology for the first time, developing an Automated Deer Detection and Deterrent System (ADDS) that successfully prevents nearly 6000 deer from entering railway areas, ensuring railway safety. This system was collaboratively developed by Network Rail and London North Eastern Railway, utilizing 127 cameras, 90 ultrasonic alarms, flashing red and white lights, 10 Wi-Fi routers, and portable power supplies to monitor deer movements in real-time and drive them away. Since its implementation, the system's real-time monitoring footage has effectively stopped deer from approaching the railway, reducing animal intrusions.

Cohere announced a new fine-tuning suite, featuring capabilities such as chat, reordering, and multi-label classification to empower personalized AI applications for businesses. The new fine-tuning dashboard allows users to manage and run fine-tuning projects, providing a testing ground, real-time progress monitoring, and a price calculator. Fine-tuning enhances model performance, improving the accuracy of generated solutions by 60%, with chat solutions improved by 40%. Models can be fine-tuned in 30 minutes and deployed in under a minute. Cohere plans to expand its London research center's workforce to meet the demand for customized models and improved performance through fine-tuning.

💼 "Team Expansion": AI company Cohere plans to double the number of employees at its London Global Research Center to about 50 over the next year. 🌍 "London Global Research Center": Cohere's London office is one of its largest research facilities. 🔬 "Chief Scientist Appointment": Cohere appointed DeepMind's Chief Scientist Phil Blunsom in 2022 as the...

Context has raised $3.5 million in funding to improve its product and provide better analytics for LLM applications. Context's product can track conversation topics, satisfaction levels, and more for LLM applications, offering developers valuable insights. The company plans to use the funds to expand its engineering team, enhance product performance, and serve more customers.