QLoRA revolutionizes LLM fine-tuning with efficient quantization and low-rank adaptation, reducing resource needs without loss.

LLM inferencing uses pre-trained models to process inputs and generate outputs, leveraging AI's power for real-time text and data analysis.

LoRA: A game-changing technique for fine-tuning LLMs like GPT-4, using low-rank matrices for efficient, scalable, and cost-effective AI.

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

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

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

The Turing test, proposed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or...

What is GPT? GPT is a generative AI technology that has been previously trained to transform its input into a different type of output....

The impact of large language models (LLMs) such as GPT-4 on marketing and sales is profound and multifaceted. This article will explore...

Introduction LangChain is an open-source framework that makes it easy to build applications using large language models (LLMs). It was...

What is Prompt Engineering? Prompt engineering is a process of creating a set of prompts, or questions, that are used to guide the user...