Current - Issue
Original Article
AGENTIC AI: An Autonomous Multiagent Framework for End- to-End Machine Learning Development
Yugasarathy S1
Vignesh Murali2
1 Student, Department of Computer Science, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. 2 Student, Department of Computer Science, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
Published Online: May-August 2026
Pages: 667-671
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502077
References
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preprint arXiv:2007.04074, 2020.
2. R. S. Olson and J. H. Moore, “TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning,” in *Automated Machine
Learning: Methods, Systems, Challenges*, Springer, 2019.
3. F. Hutter, L. Kotthoff, and J. Vanschoren, *Automated Machine Learning: Methods, Systems, Challenges*. Springer, 2019.
4. S. M. Lundberg and S.-I. Lee, “A Unified Approach to Interpreting Model Predictions,” in *Advances in Neural Information Processing
Systems (NeurIPS)*, 2017.
5. S. M. Lundberg, G. G. Erion, and S.-I. Lee, “Consistent Individualized Feature Attribution for Tree Ensembles,” arXiv preprint
arXiv:1802.03888, 2018.
6. T. Akiba, S. Sano, T. Yanase, T. Ohta, and M. Koyama, “Optuna: A Next-generation Hyperparameter Optimization Framework,” in *Proc.
25th ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining*, 2019.
7. M. Zaharia et al., “Accelerating the Machine Learning Lifecycle with MLflow,” *IEEE Data Engineering Bulletin*, vol. 41, no. 4, pp. 39–
45, 2018.
8. N. Reimers and I. Gurevych, “Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,” in *Proc. EMNLP-IJCNLP*,
2019.
9. J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language
Understanding,” in *Proc. NAACL-HLT*, 2019.
10. T. Brown et al., “Language Models are Few-Shot Learners,” in *Advances in Neural Information Processing Systems (NeurIPS)*, 2020.
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