I'm a Data Scientist at Syngene International Limited. I have completed my Master's in Data Science from VIT AP and I have a burning passion for Generative AI. My expertise lies in building robust machine learning and NLP models for innovative projects. Currently, I'm putting this knowledge to work in drug discovery research at Syngene, exploring the potential of LLMs. Always eager to learn and delve deeper into the ever-evolving world of data science and AI!
Discover MiniRAG, a lightweight RAG framework optimized for Small Language Models in resource-constrained environments.
Explore Phi-4: A powerful language model with advanced reasoning, long-context capabilities, and real-world task performance.
Compare LangChain and LlamaIndex: Discover their strengths, use cases, and how to choose the right NLP framework.
Convert Models to GGUF Format: its benefits, conversion process, and best practices for optimizing large language models (LLMs).
Discover scaling Multi-Document Agentic RAG systems using LLamaIndex, enhancing retrieval efficiency and query accuracy.
Build Multi-Document Agentic RAG for efficient retrieval and summarization with vector and summary query tools.
Learn to build AI agents from scratch using ReAct pattern. Comprehensive guide on tools, libraries, and practical steps for AI development.
A guide to building, evaluating, and optimizing RAG pipelines using LlamaIndex and TRULens. Learn to ensure relevance, groundedness and more.
Dive into the Understanding of Transformers and NLP. Explore the technology with this comprehensive guide.
Master GNN Implementation for graph analysis. Explore theory, practical applications, and hands-on experience with Python libraries.
