Artificial Intelligence LLM

Applications and Use Cases of LLM

The landscape of Natural Language Processing (NLP) has shifted dramatically with the introduction of large language model (LLM) like OpenAI’s GPT series and Google’s Transformer-based models. These aren’t just incremental...

How to Connect LLM to External Sources Using RAG?

Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) like GPT variants both play distinct yet interrelated roles in advancing machine learning applications. Initiated as separate entities—RAG for enhancing data...

Parameter-Efficient Fine-Tuning (PEFT) of LLMs: A Practical Guide

PEFT (Parameter Efficient Fine Tuning) – This term can make anyone curious and today we will discuss everything about PEFT in this blog. In the ever-evolving sphere of Natural Language...

Leveraging LangChain for Next-Gen Language Models

Leveraging LangChain for Next-Gen Language Models

LangChain is an innovative framework designed to unlock the full potential of large language models, enabling developers to build powerful LLM applications with ease. By providing a robust set of...