Category: AI Tips
Federated Learning: Enhancing AI While Safeguarding Privacy
Imagine a world where your data contributes to smarter AI without ever leaving your device. This is the promise of Federated Learning. Unlike traditional AI training methods that aggregate data in a central location, Federated Learning trains models across multiple decentralized devices or servers, each holding local data samples. This approach ensures that your data…
Enhancing Large Language Models with RAG (Retrieval-Augmented Generation)
Imagine walking into a vast library, not just browsing the stacks on your own, but guided by a knowledgeable librarian who directs you to the most relevant books and even summarizes their content for you. This is how RAG enhances LLMs—by combining the power of information retrieval with advanced language generation to deliver more accurate…
Exploring AI’s Possibilities: Noam’s “Generative Gratitude” Project
At IOG, we are passionate about pushing the boundaries of what artificial intelligence can achieve. Our team of experts is constantly exploring new AI tools and techniques to uncover novel applications that can benefit individuals and businesses alike. One area we find particularly intriguing is the intersection of AI and personal well-being. Noam, our talented…
Get It Right the First Time: Prompting Frameworks for Optimal AI Outputs
As an AI consultant, I’m often asked how to get the most out of advanced language models like ChatGPT. While these AI assistants are incredibly capable, the quality of your results relies heavily on the clarity of your prompts. Poorly framed prompts lead to suboptimal responses, while well-structured prompts allow the AI to truly understand…