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22 posts

Amazon Bedrock: A solid generative AI foundation

Amazon Web Services’ fully managed service for building, deploying, and scaling generative AI applications, Amazon Bedrock offers a catalog of foundation models, implements retrieval-augmented generation (RAG) and vector embeddings, hosts knowledge bases, implements fine-tuning of foundation models, and allows continued pre-training of selected foundation models.To read this article in full, please click here
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What’s going on with cloud finops?

Hey, remember finops? Cost optimization? According to most surveys, it was a big deal in 2023, but you never would have known it, considering the amount of AI noise out there.The State of FinOps is an annual survey conducted by the FinOps Foundation to collect information about critical priorities, industry trends, and the direction of finops practices. The survey informs a range of Foundation activities and tells the broader market how finops is practiced in various organizations. Survey respondents are encouraged to be thorough and honest so the data will reveal valuable insights to the community. However, I bet that none of them admit to any waste on their end—ever.To read this article in full, please click here
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How to cut through the AI noise

AI is touted as the greatest thing since the invention of the wheel, but you can be forgiven if you don’t have a clue as to what it means or what to do with it. After all, the frenzied pace of AI-related news is dizzying, making it hard to filter signal from noise.Every day sees a new large language model (LLM) released, some from companies (e.g., Moonshot AI) raising amounts that seem unhinged from reality (e.g., $1 billion). Every day a different LLM leapfrogs incumbents on performance or functionality. A few weeks ago it was Meta, but last week it was Google’s Gemini dunking on ChatGPT. Even completely non-AI related things (like power chargers!!!) are getting AI labels slapped on them.To read this article in full, please click here
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When cloud AI lands you in court

In a recent legal ruling against Air Canada in a small claims court, the airline lost because its AI-powered chatbot provided incorrect information about bereavement fares. The chatbot suggested that the passenger could retroactively apply for bereavement fares, despite the airline’s bereavement fares policy contradicting this information. Whoops! Of course, the link to the policy was provided in the chatbot’s response; however, the court found that the airline failed to explain why the passenger should not trust the information provided by the company’s chatbot.To read this article in full, please click here
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