Building Multi Agentic System for Handwritten Answer Evaluation
Implementing an automatic grading system for handwritten answer sheets using a multi-agent framework streamlines evaluation, reduces manual effort, and enhances ...
Implementing an automatic grading system for handwritten answer sheets using a multi-agent framework streamlines evaluation, reduces manual effort, and enhances ...
Introduction Many generative ai use cases still revolve around Retrieval Augmented Generation (RAG), yet consistently fall short of user expectations. ...
Advancements in agentic artificial intelligence (ai) promise to bring significant opportunities to individuals and businesses in all sectors. However, as ...
Imagine you are building a customer support ai that needs to answer questions about your product. Sometimes it needs to ...
ai agents are rapidly becoming the next frontier in enterprise transformation, with 82% of organizations planning adoption within the next ...
Agentic ai gains much value from the capacity to reason about complex environments and make informed decisions with minimal human ...
For me, 2024 has been a year when I was not just using LLMs for content generation but also understanding ...
When building applications using Large Language Models (LLMs), the quality of responses heavily depends on effective planning and reasoning capabilities ...
Twitch, the world’s leading live-streaming platform, has over 105 million average monthly visitors. As part of amazon, Twitch advertising is ...
FeatureRAGAgentic RAGTask ComplexityHandles simple query-based tasks but lacks advanced decision-makingHandles complex multi-step tasks with multiple tools and agents as needed ...