.1TechnologyMarch 6, 2025 Ada The Rise of Agentic AI: The Next Step in AI AutonomyWhat exactly is Agentic AI, and how does it shape the future of artificial intelligence? Let’s explore its core concepts, architectures, and potential applications.
.2TechnologyNovember 7, 2024 Ada Enhancing AI with Context: RAG as a ServiceIris.ai’s RAGaaS combines various retrieval techniques, including vector database search, graph traversal for entity relationships, keyword search, and document fingerprinting. Each retrieval approach is automatically selected based on the nature of the query, enhancing response accuracy and processing speed.
.3TechnologyOctober 17, 2024 Aashima Small Language Models vs. LLMs: Finding the Right Fit for Your NeedsChoosing the right language model is essential for optimizing performance and efficiency in AI applications. While LLMs offer unparalleled performance and versatility, SLMs provide a cost-effective and efficient solution for specialized tasks, particularly in domain-specific applications.
.4TechnologySeptember 27, 2024 Ada AI in Innovation: Transforming the FutureIn the world of business, Artificial Intelligence (AI) is helping companies work smarter. It optimizes operations, improves customer service, and finds new ways for businesses to grow. In healthcare, AI tools are diagnosing diseases early, creating personalized treatment plans, and speeding up the development of new medicines. In education, AI is tailoring learning experiences to individual students, helping teachers understand their students’ needs better, and making education accessible to more people.
.5TechnologyJune 21, 2024 Aashima The Benefits and Challenges of AI AdoptionAdopting AI technologies brings transformative benefits, including increased efficiency, enhanced decision-making, cost savings, and improved customer experiences. However, challenges like high implementation costs, data quality and privacy concerns, skill shortages, integration complexities, and ethical considerations must be addressed.