What are the pros and cons of (1) fine-tuning a base model on proprietary data, (2) using retrieval-augmented generation (RAG) and agentic workflows with a general-purpose model, and (3) combining both approaches? Links to resources discussing this would be awesome.

Thank you all for your support in reaching Level 2! 🙌 Now let’s aim for the next goal — Level 3 💪 With great posts and positive vibes in the comments, we’ll get there together! 😊

The OpenAI Agents SDK has now support for MCP. This enables you to use a wide range of MCP servers to provide tools to your Agents. https://openai.github.io/openai-agents-python/mcp/

Hi everyone, I recently had an interesting conversation with a fellow software developer who expressed concerns about the future of our industry. With AI advancing rapidly, some are questioning whether software engineering and AI development will remain secure and high-growth career paths. Personally, I believe software development and AI engineering will continue to thrive, and the demand for skilled professionals will only increase. Fields like AI, machine learning, and automation are shaping the future, and companies worldwide are actively investing in these technologies. As someone preparing to start a BSc in Applied AI at 32, I’m excited about this journey but also understand the uncertainties many people might feel when considering a career in tech today. What do you think about the future of software development and AI engineering? Is studying Computer Science or AI still a smart choice? How do you see AI impacting programming jobs over the next decade? Do you think automation will replace software engineers, or will it create new opportunities? Let’s have an open and insightful discussion your thoughts and experiences could help others who are unsure about starting this path! Looking forward to your insights. Thank you for your time.🙂

I need help, I've been working on this for a while, and I truly want to understand how to solve this and move on to the next step. I keep getting the "NameError: name 'dotenv_path' is not defined" I've double check everything and trace back my steps, but no luck, both ".env" and "environment_variables.py" files are in the same folder named "Code" when I run the "dotenv_path" it gives me that "NameError: name 'dotenv_path' is not defined"