by Azalio tdshpsk | Jul 23, 2024 | Cloud
In the era of generative AI, large language models (LLMs) are revolutionizing the way information is processed and questions are answered across various industries. However, these models come with their own set of challenges, such as generating content that may not be...
by Azalio tdshpsk | Jul 22, 2024 | Cloud
IBM has made the Mistral Large advanced large language model (LLM) available on IBM’s watsonx.ai enterprise tools platform for AI developers, expanding the collection of models accessible on watsonx.ai. With Mistral AI, watsonx.ai users gain a generative AI model...
by Azalio tdshpsk | Jul 22, 2024 | Cloud
Underlying the proliferating memes about the CloudStrike update fail is a certain smugness that such things won’t happen to you. Yes, it’s true that Microsoft may be particularly susceptible to such things. As the US Cyber Safety Review Board has found, “Microsoft’s...
by Azalio tdshpsk | Jul 22, 2024 | Cloud
For a recent article, 10 big devops mistakes and how to avoid them, I interviewed industry leaders to uncover 10 devops “gotchas” that can sabotage your software development efforts. Those interviews turned up more mistakes than I could cover in one article, so here...
by Azalio tdshpsk | Jul 22, 2024 | Cloud
Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more reliable system, much less likely to go off the rails and...
by Azalio tdshpsk | Jul 19, 2024 | Cloud
In March 2024, I wrote that without good data, your generative AI system will be about as helpful as a warehouse fire. As I teach my generative AI architect students, AI, specifically generative AI, is ultimately a data-oriented problem. If your data game is weak,...
