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9 Nov
Posted by
Nandan
Talent acquisition and recruitment
The recruitment landscape is continually changing, with businesses seeking more efficient ways to screen and hire talent. Traditional processes are often bogged down by manual tasks, from the initial screening of resumes to repetitive assessments. Advanced AI agents offer a solution by automating these activities, ensuring that only relevant candidates are shortlisted for further consideration. Th…
15 Nov
Posted by
Nandan
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use…
Large language models (LLMs) augmented with external data have demonstrated remarkable capabilities in completing real-world tasks. External data bolsters the models’ domain-specific expertise, enhances temporal relevance, and diminishes hallucinations, improving controllability and interpretability. Techniques for integrating external data into LLMs, such as Retrieval-Augmented Generation (RAG) a…
6 Nov
Posted by
Nandan
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models
Large language models (LLMs) have made significant strides in acquiring extensive knowledge and demonstrating exceptional problem-solving abilities. However, ensuring these systems align with human intentions by improving their reliability, safety, and usefulness remains crucial. Multi-expert Prompting, a novel enhancement of ExpertPrompting, addresses this need by guiding an LLM to fulfill an inp…