Dynatrace
JANUARY 30, 2024
Is artificial intelligence (AI) here to steal government employees’ jobs? Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s Can embracing AI really make life easier? There is a lot of concern about AI taking jobs away from humans.
Dynatrace
JULY 6, 2022
Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues.
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InfoQ
MAY 8, 2024
Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji
O'Reilly
JUNE 14, 2024
While perfect intelligence is no more possible in a synthetic sense than in an organic sense, retrieval-augmented generative (RAG) search engines may be the key to addressing the many concerns we listed above. Generative AI models are trained on large repositories of information and media.
O'Reilly
APRIL 4, 2024
In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. OpenAI, for example, has trained not just on publicly available data but reportedly on copyrighted content retrieved from pirate sites. But those investments demand commensurately large returns.
Scalegrid
JANUARY 11, 2024
To combat this issue, certain strategies are recommended such as prioritizing alerts based on severity levels, reducing false positives through advanced detection techniques, automating response protocols for faster action-taking, and providing adequate training and resources for personnel responsible for managing security.
O'Reilly
NOVEMBER 14, 2023
An AI trained on the works on Haydn and Mozart wouldn’t give you Beethoven; it would give you some (probably rather dull) amalgam, lacking the creativity of either Haydn or Mozart. After his images were removed from Stable Diffusion’s training data, fans developed an alternate model that was tuned to produce images in Rutkowski’s style.
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