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February 1, 2024
We need to make sure we look at AI functions to look at their provenance, observe their state and status, watch their behavior and scrutinize the validity of the decisions they take.
January 30, 2024
P0 has raised $6.5 million of seed finance as it puts large language models to work in the battle against data privacy breaches
January 29, 2024
Chinese regulators granted approvals to a total of 14 large language models (LLM) for public use last week, Chinese state-backed Securities Times reported. It marks the fourth batch of approvals China has granted, which counts Xiaomi Corp , 4Paradigm and 01.AI among the recipients.
January 29, 2024
Despite its spectacular potential, generative AI isnโt without its shortcomings. In fact, you could argue that its arrival has rather made a mess of things for now.
January 29, 2024
The widespread use of generative AI raises concerns about bias, particularly when it comes to training on human-generated content. The biases inherent in the data used to train language models (LLMs) can influence their outputs, impacting interpretations and opinions. Issues such as access restrictions, delayed deployment in specific languages, and intellectual property concerns also contribute to bias. To ensure responsible AI, transparency in product and process development is essential. Lawma...
January 23, 2024
The plethora of modern IT systems running applications with data services spanning the breadth of the planetโs cloud networks means that data growth is endemic.
January 22, 2024
Data summarization needs to be error-free, complete, in exactly the right form, and thoroughly traceable in case questions arise.
January 16, 2024
A story in Hong Kongโs South Morning China Post, citing an obscure research paper linked to the Chinese military, wrongly suggested that Chinese AI giant, Baidu, is wo...
January 12, 2024
A Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis of the state of AI today would not go amiss, so lets break down the highs & lows of AI as we stand today.
January 3, 2024
As a core chunk of algorithmic logic, most organizations donโt have the resources, time or skills needed to create their own AI LLM, so how should they start?