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Manasmita Pradhan
Dec 3, 202412 min read
Unlocking the Power of LLM Inferencing: Real-Time AI Insights and Solutions
LLM inferencing uses pre-trained models to process inputs and generate outputs, leveraging AI's power for real-time text and data analysis.
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Subhradyuti Jana
Nov 26, 20245 min read
LoRA: Revolutionizing Fine-Tuning for Large Language Models with Efficiency and Scalability
LoRA: A game-changing technique for fine-tuning LLMs like GPT-4, using low-rank matrices for efficient, scalable, and cost-effective AI.
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Debasish
Nov 22, 20248 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
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Smita
Nov 14, 20243 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....
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Subhradyuti Jana
Nov 8, 20247 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
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Debasish
Oct 22, 20246 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
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Debasish
Oct 3, 20242 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...
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