Data Science

2 days ago3 min read

Revolutionizing Generative AI: Cutting-Edge Techniques for Fine-Tuning LLMs

Fine-tuning LLMs redefined: Discover 5 cutting-edge techniques making AI more efficient, scalable, and cost-effective than ever!

2 days ago8 min read

Graph Retrieval-Augmented Generation ( Graph RAG ) Key Concepts

Graph RAG combines knowledge graphs with retrieval-augmented generation, enriching LLMs with accurate, contextual, and relational data for b

Nov 143 min read

Qwen2.5-Coder: Advancing Code Generation with Enhanced Performance and Long-Context Support

What is Qwen? Qwen represents the robust series of large language and multimodal models developed by the Qwen Team at Alibaba Group....

Nov 87 min read

LightRAG: Advancing Retrieval-Augmented Generation with Graph-Based Dual-Level Retrieval for Enhanced Complex Information Synthesis

LightRAG: A dual-level retrieval breakthrough in RAG, using graph-based indexing for complex, precise AI responses. A leap in dynamic AI syn

Oct 226 min read

Future of Generative AI in Healthcare: Key Use Cases and Insights

Generative AI is revolutionizing healthcare with personalized patient engagement, intelligent triage, and automated tasks, enhancing outcome

Oct 32 min read

Parkinson’s Disease Analysis Using Deep Learning: A VGG-16 Model-Based Approach

Introduction Parkinson’s Disease (PD) is a progressive neurological disorder affecting movement control. Early and accurate detection is...

Jan 171 min read

Confounding Variables: The Sneaky Culprits in Research

What is Confounding Variable? Confounding variables, also known as confounders, lurking variables, or extraneous variables, are variables...