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3 Oct
Posted by
Nandan
Employee hiring advisor
The AI agent is designed to enhance the recruitment process by optimizing candidate sourcing efforts and streamlining collaboration between hiring managers and recruiters. It assists in creating job requisitions and offers, effectively reducing the time it takes to hire new employees. The AI agent supports organizations in managing formal requests for new positions, replenishing existing roles, an…
4 Sep
Posted by
Nandan
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Large language models (LLMs) have demonstrated remarkable capabilities in memorizing vast amounts of factual knowledge, enabling them to excel across diverse tasks and domains. However, their performance tends to diminish when dealing with less popular or low-frequency concepts and entities, particularly in domain-specific applications. This article explores two prominent approaches to enhance the…
4 Sep
Posted by
Nandan
Agentic Retrieval-Augmented Generation for Time Series Analysis
Agentic Retrieval-Augmented Generation (RAG) is an innovative approach that combines the power of large language models with specialized knowledge retrieval to tackle complex time series analysis tasks. This framework leverages a hierarchical, multi-agent architecture where a master agent orchestrates task-specific sub-agents, each equipped with tailored knowledge repositories and fine-tuned model…