A few weeks ago, I held an amazing workshop on AI for software engineers eager to learn the fundamentals and create their first application integrated with AI models!
AI became an intrinsic topic in the tech world and can be overwhelming to keep updated.
It’s beneficial to rely on summaries that highlight key topics, which is why I regularly consult Thoughtworks Tech Radar for invaluable insights.
And what is interesting, they already added some topics on AI in the latest version released this month (April)!
I gave special attention to the topics below 🙂
- Retrieval Augmented Generation: I’ve covered RAG on my workshop and it proved to become the preferred pattern to improve the quality of LLM responses
- LLM-powered Autonomous Agents: LLM agents allow those models to perform a variety of human-language based tasks.
- LiteLLM: We don’t have a de facto framework to work with AI models yet. I’ve been using Langchain for popularity, but worth keeping track of other options.
- Nemo-Guadrails: One of the major challenges in deploying AI solutions is ensuring safety measures and addressing unforeseen behaviors. It’s good to see the advances over this topic to enable production ready solutions.
You can check the complete radar here!
How about you? What are your favorite topics on the radar? 🙂
