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RAG Based LLM Applications

A collection of 3 posts
Decoding the Mechanics How Do LLMs Really Work
AI

Decoding the Mechanics: How Do LLMs Really Work?

The advent of Large Language Models (LLMs) such as OpenAI’s GPT-4, Google's BERT, and other sophisticated AI systems has transformed the way we interact with technology. These models are capable of generating human-like text, translating languages, summarizing articles, and even writing code. But how do these LLMs
Jul 12, 2024 4 min read
RAG & AI capabilities
RAG Based LLM Applications

What is Retrieval-Augmented Generation (RAG) and How It Enhances AI Capabilities

Have you ever wondered how artificial intelligence (AI) keeps getting smarter? It’s not just magic, there's a whole lot of technology working behind the scenes. One such technology is Retrieval-Augmented Generation (RAG). In this blog, you'll get a solid understanding of what RAG is and
Jul 9, 2024 5 min read
The endless possibilities of RAG based LLM applications
Scalable RAG Applications

The endless possibilities of RAG based LLM applications

Our vision is to build industry-trained LLMs that actually allows people to discover and explore insights. So, we start by processing external data sources through Retrieval Augmented Generation(RAG) to augment LLM capabilities. Specifically, we are building a Mei Agent that can answer questions about any website it “reads”. If
Feb 26, 2024 6 min read
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