The rapid growth of autonomous and semi-autonomous AI agents has introduced new challenges in monitoring, debugging, and optimizing agent-based workflows. AgentOps is a proposed framework aimed at delivering observability, testing, and performance an

Fine tune a smaller LLM with a small training set for enhancing performance for agentic system.

IBM Quantum has been the leader in Quantum Technology in both hardware, middleware, and software. We have latest 156 qubits Heron processor chip which has capability to solve complex problems. Recently, several institutions has show-cased utility sca

Compute-intensive Monte Carlo methods are at the heart of material research. This project will explore specific software design patterns for heterogeneous computing specific to material research. The system of interest is dislocation loop models i

Apply novel Hamiltonian Simulation Algorithm techniques for applications in chemistry. The focus would be on large-scale models that align with the utility-scale experiments.

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The increasing complexity of modern software systems makes error detection and correction challenging for developers, necessitating accurate and insightful error explanations. Generative Large Language Models (LLMs) offer automated solutions but ofte

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GraphQL queries are increasingly sophisticated, enabling efficient data retrieval across diverse, nested data structures. However, validating the correctness of these complex queries—particularly those generated by large language models (LLMs)—is a s