Hey, everyone! I completed video on numpy a few days ago. Before that, I finished Kaggle's course on Python. I think I should build some projects now to apply my skills. Does anyone have any recommendations? Should I build projects that includes only Python or should I built projects with numpy or other libraries that I learn along the way? Where should I start? Thanks in advance 😀!!

Anthropic has published a very interesting article about building AI agents. Have you read it? Anthropic engineers suggest that you should understand the underlying code before using any abstraction frameworks like LangGraph; otherwise, it may get hard for you to debug and understand your own code. Also, they suggest that you should only add complexity when it's really necessary for your use case. Simplicity is the best, and you shouldn't build agents when you don't need them. They also provided a detailed overview of commonly used agentic systems. Have a look at it 👉 https://www.anthropic.com/engineering/building-effective-agents

When working, I encountered a protected PDF file that I couldn't print. I made a print screen of each page, and then printed it. But it took me a lot of time, so I decided to build an Agent to do it for me next time. And here it is ;) https://github.com/JakubCzerwiec/agent_pdf_to_png2/tree/master

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription. RealtimeSTT listens to the microphone and transcribes voice into text. https://github.com/KoljaB/RealtimeSTT

As someone who is still trying to wrap their head around the noise of AI, I've been hearing a lot of generative AI and how it's different from the AI systems currently being used to produce digital products. I have heard of apps that can help to make and customize agents, but also heard that we wouldn't really learn to use those sorts of things on this platform. Feeling a bit lost as to what is the differentiator with this platform.