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Showing posts with the label LLM

Chinese Lab's AI LLM Performance Shocks Silicon Valley

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A Chinese Lab has sparked panic in Silicon Valley with the release of its first AI model that can outperform America's best despite being built more cheaply and with less-powerful chips, according to the US media reports. The lab called  DeepSeek  has recently unveiled a free, open-source large-language model (LLM) that it says took only two months and $5.5 million million to build, using reduced-capability chips from Nvidia called H800s. By comparison, the US-based OpenAI's closed LLM model cost $100 million to develop and train using the most advanced H100 chips from Nvidia. Open-source and free DeepSeek models can significantly help developing nations like Pakistan by providing affordable access to the latest AI technology, allowing them to develop solutions tailored to their specific needs without high costs.  DeepSeek, a small startup lab in China, has accomplished this feat despite the US technology export controls to slow down China's AI efforts. Former Google...

Pakistan to Develop Urdu LLM for Generative AI

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National University of Science and Technology (NUST), National Information Technology Board (NITB) and Telecom network operator Jazz have signed a  Memorandum of Understanding  (MOU) to develop Pakistan’s first indigenous Large Language Model (LLM) with focus on Urdu, including datasets for Pashto and Punjabi languages. It is aimed at empowering individuals, businesses, and organizations with advanced AI tools in their native languages. The envisioned LLM is expected to drive innovation in Generative AI applications, boosting productivity and accessibility in critical sectors like healthcare, education, and agriculture. GPT-4 Accuracy Scores. Source: The Economist Generative AI tools such as  ChatGPT  are powered by large language models, or LLMs. These models need to be trained on vast amounts of data in specific languages to be useful. Unfortunately, the Urdu content of the Internet is less than  0.1% . This will present a challenge for the developers of ...