Post by Ritikesh Choube

Senior AI Engineer | LangGraph · CrewAI · Google ADK · MCP | Multi-Agent Systems & RAG in Production | Tech Lead

I often come across posts implying that if you’re calling an API or using pre-built models, you aren’t using proper AI or developing real AI solutions. But really, is that fair? In today’s rapidly evolving landscape, many models are already built and optimized for a wide range of use cases. Why not leverage them? The key isn’t reinventing the wheel but understanding your specific use case deeply. Start simple: explore models like those from Ollama or other open-source options. If a model aligns closely with your requirements, use it! If not, focus on techniques like fine-tuning to adapt these models to your data. It’s also crucial to learn how to guard models effectively—using tools like Guardrails to ensure reliability and safety. The essence of AI development today isn’t just building models from scratch. It’s about knowing when to fine-tune, when to optimize, and when to strategically leverage existing resources to create impactful solutions. #llm #ArtificialIntelligence #MachineLearning #OpenSource #DataScience