CIO
MARCH 20, 2025
Global competition is heating up among large language models (LLMs), with the major players vying for dominance in AI reasoning capabilities and cost efficiency. OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence.
AWS Machine Learning - AI
OCTOBER 16, 2024
This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media. DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. DPG Media’s VTM GO platform alone offers over 500 days of non-stop content.
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Crunchbase News
NOVEMBER 13, 2024
Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context. First, LLM technology is readily accessible via APIs from large AI research companies such as OpenAI.
CIO
MARCH 5, 2024
India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.
CIO
MARCH 20, 2025
As head of the JRFUs media business division, Yutaka Muroguchi has contracts with all three organizations, and is in charge of video management and broadcasting rights. The media plays a big role to make rugby more accessible, and the trigger to formulate a media strategy was the launch of League One in 2022.
O'Reilly Media - Ideas
NOVEMBER 19, 2024
Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost.
CIO
DECEMBER 11, 2024
Weve evaluated all the major open source large language models and have found that Mistral is the best for our use case once its up-trained, he says. Another consideration is the size of the LLM, which could impact inference time. For example, he says, Metas Llama is very large, which impacts inference time.
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