SNEHA SINGH
6 articles published
Fine-Tuning vs RAG vs Prompting — Which One Should You Actually Use?
Most AI builders confuse prompting, RAG, and fine-tuning — and end up wasting time solving the wrong problem. The truth is simple: prompting fixes behaviour, RAG fixes knowledge gaps, and fine-tuning fixes deeply specific style or performance requirements. The smartest way to build AI systems is in layers: start with better prompts, add RAG when your AI needs real-world or company-specific information, and only consider fine-tuning when consistency and specialization truly demand it. Most teams jump to the most complex solution too early — when a simpler fix would have worked better.
Vibe Coding - When the IDE Thinks With You
Vibe Coding is redefining how developers build software by enabling a more natural, AI-augmented workflow where ideas are translated into code in real time. Instead of getting stuck in repetitive tasks or context-switching, engineers stay focused on problem-solving while intelligent tools handle execution. At RxOne, this shift has accelerated development cycles, improved collaboration, and aligned perfectly with their Agentic AI vision—where human intent is amplified by intelligent systems to build faster, smarter healthcare solutions.
Meet Giva — The Voice That Shows Up When Mothers Need It Most
Motherhood is beautiful — but the journey into it can feel overwhelming, especially for first-time mothers navigating fragmented healthcare systems. At RXOne, we built Giva, a voice-first care companion powered by Rova, to simplify the pregnancy journey through proactive, contextual, and multilingual support. Giva isn’t just a chatbot — it’s an orchestration engine that coordinates appointments, answers pregnancy-related queries, connects mothers to trusted providers, and ensures continuity of care through natural voice interaction. By leveraging RXOne’s local linguistic intelligence in Rova, Giva understands mothers in the language they actually speak — improving accessibility, trust, and engagement. Early deployments show reduced care friction, better adherence to checkups, improved patient confidence, and scalable support without increasing human workload. From tools to true care companions — this is the future of maternal healthcare.
When Healthcare Came Home: A Grandmother’s Story of Care, Connection, and Change
An 87-year-old grandmother with Alzheimer’s, confined indoors since COVID, began losing touch with the world around her as her health declined. With everyone in the family busy and care becoming difficult, RxOne stepped in — bringing medical attention, therapy, and comfort directly to her home. What once felt like isolation turned
Predictive Care: How AI Helps Providers Anticipate Patient Needs Before They Arise
This blog explores how AI is transforming healthcare from reactive to predictive. Through real-life examples, it shows how hospitals and doctors can anticipate patient risks before symptoms appear — preventing emergencies, improving outcomes, and building deeper trust. Predictive care isn’t just about algorithms; it’s empathy powered by intelligence. At RxOne, technology becomes a partner in foresight, helping providers protect wellness before illness begins. CTA: Discover how RxOne’s AI-powered tools help hospitals predict, prevent, and personalize patient care — because every heartbeat deserves foresight.
The human side of artificial intelligence: Why patients deserves smart, compassionate tech
This blog explores how AI can help doctors, hospitals, and clinics deliver more human-centered care. Through real patient experiences, it highlights how technology can reduce administrative burdens, simplify follow-ups, and enable more personal, empathetic interactions. When used wisely, AI doesn’t replace the provider’s role — it enhances it, allowing healthcare professionals to focus on what matters most: listening, understanding, and healing with compassion.