Techzim
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Techzim
@Techzim
Tech updates on Zim & region with focus on connectivity & gadgets. WhatsApp Channel: https://t.co/YN0AI9rEty
















As we were saying, this doesn’t prove Econet is overloaded everywhere But when one network has far more users per data-capable site, and those users also generate far more traffic, it helps explain why some areas feel unusable at peak hours


Ministry of Higher and Tertiary Education All links to Resources return a 404 Not Found Error SSL is also broken The Contact US page is also broken. @mhtestd I would like to submit my proposal to improve Tech in your ministry, but most online avenues are down, including the contact us page. Have done work in some of the institutions and they really need massive upgrades. One of the sites had a 100Mbps backbone capacity to all the divisions.

A Zimbabwean AI researcher at University of Cape Town, Simbarashe Mawere, is part of a team who have developed a new specialised LLM called MzansiLM. The LLM was trained specifically on South Africa’s 11 official written languages including Zulu, Ndebele, Sepedi, Sotho, with strong performance in Zulu and Xhosa. Their goal is to solve the problem of popular LLMs like ChatGPT and Deepseek being quite poor at local African languages. MzansiLM is not a general-purpose chatbot though. It's a base model designed for developers and researchers to create applications such as text summarization, annotation, and local-language technology. The model was open sourced and is publicly available on Hugging Face to encourage further local-language tech development. You can access it yourself if you'd like to geek out!






