We are finally at a state in the GenAI-space where we can create agentic AI solutions with ease.
I’m most familiar with Semantic Kernel, when working with LLMs, and this library works great for creating these solutions.
In a nutshell, what you need to do is create a group chat, add your agents to it, and then let them work together to solve a problem.
Do keep in mind, at the time of this writing, version 1.
Read more →I’m very happy GitHub Copilot exists and lately with the Agent-mode it’s even better. It’s making sure I can focus on the relevant pieces of my solutions and not have to worry too much about the plumbing part.
The models it’s using are quite powerful and contains a lot of (old) data. When using new libraries or versions of already existing libraries, the LLMs used under the hood often don’t provide useful suggestions or edits.
Read more →It’s not something a lot of people need to do on a regular basis, but when you do, you don’t want to spend a lot of time doing it. I’m referring to the process of “create an SDK for your APIs”.
When your service is exposing endpoints for your consumers to use, it’s easy to refer them to using raw endpoints and let them figure out how to deal with it based on the Open API specifications (formerly known as Swagger) provided.
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