Interesting Stuff - Week 6, 2023

Posted by nielsb on Sunday, February 12, 2023

I came home from London a couple of days ago, and I can’t tell you how good it is to be back home!

Among other things, what caught my eye for this week’s roundup was that Azure now offers a managed load testing service and the open-sourcing of LMOps: a collection of tools for improving text prompts used as input to generative AI models. Also interesting is vector search and what you can do with it. Finally, if you are interested in Kafka, there is an excellent introductory guide to Kafka.



  • Microsoft Open Sources AI Prompt Optimization Toolkit LMOps. Using generative AI (Stable Diffusion, ChatGPT, etc.) is easy; you prompt the AI for what you want, and voila, out “pops” a result. Well, maybe it is not THAT easy, as the outcome depends to a large degree on the prompt. The prompt is a critical aspect of generative AI as it serves as the input that guides the generation of outputs. An effective and descriptive prompt can significantly impact the quality and accuracy of the generated content. So, what is described in this post is a godsend, Microsoft Research open-sourcing LMOps: a collection of tools for improving text prompts used as input to generative AI models.
  • How To Use Vector Search To Quickly Build A Content-Based Filtering Recommender System. A vector search engine uses vector representations to perform similarity searches on large datasets. Using vector representations allows for more sophisticated search algorithms that can account for the context and relationships between items in the dataset, leading to more accurate and relevant search results. That is what the linked post shows, where it uses a vector search engine to build build a content-based filtering recommender system.


~ Finally

That’s all for this week. I hope you enjoy what I did put together. Please comment on this post or ping me if you have ideas for what to cover.

comments powered by Disqus