Artificial Intelligence Azure Information 
How To Buy Saas
MAY 26, 2025
Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Think of a standard LLM as a very smart student who has learned a lot of general information.
Clouded Judgement
FEBRUARY 7, 2025
These seem like perfect fits for LLM based applicatiosn. Perfect for a LLM! They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. The information provided is believed to be from reliable sources but no liability is accepted for any inaccuracies.
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How To Buy Saas
JUNE 18, 2025
This fuels a robust ecosystem of AI chips (Nvidia, AMD), cloud AI services (AWS Sagemaker, Azure AI, Google Cloud AI), and SaaS integration (Salesforce Einstein, Microsoft 365 Copilot, Adobe Firefly). In June 2025, Chinese startup DeepSeek grabbed headlines with an open-source “reasoning” LLM rivaling U.S. In 2025, U.S.
Sales Hacker
MARCH 25, 2025
Ray Smith: Yeah, I think it’s two years ago, it was definitely termed the moonshot project because the whole thesis was the future of AI is not going to be just this chatty interface or LLM that we’re going to interact with. Hey, this is now an agent because I sprinkle in some LLM uses or scenarios around it.
Tom Tunguz
JANUARY 23, 2023
We saw moderated consumption growth in Azure and lower-than-expected growth [elsewhere]. Segment Expected Growth Productivity 12% Office Commercial 6% Office On-Premise -25% LinkedIn 5% Dynamics 13% Intelligent Cloud 18% Azure 26% Server -3% Services -3% 2. At some point, the optimizations will end.
SaaStr
APRIL 26, 2024
You train the models, and it’s an iterative process that requires the right measures and the right data. When you train a model, it’s trial and error. You give the model information and what you’re trying to predict. Then, it takes that information and makes a prediction. Why is data so hard? That’s fine-tuning.
Tom Tunguz
SEPTEMBER 8, 2024
Large language models are wonderful at ingesting large amounts of content & summarizing. Benn Stancil described LLMs as great averagers of information. 1 I haven’t found a way to goad an LLM to produce the rare result. Maybe I haven’t learned how to prompt an LLM well.
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