no code - MonsterAPI Blog

no code

A collection of 2 posts

Build a Retrieval-Augmented Generation ChatBot in 10 Minutes using MonsterAPI

Build a Retrieval-Augmented Generation ChatBot in 10 Minutes using MonsterAPI

Retrieval Augmented Generation (RAG) is a technique that generates answers to pre-existing queries by combining pre-established rules or parameters (non-parametric memory) with external data from the internet (parametric memory). By responding in natural language conversations with contextually relevant responses, RAG bots are revolutionizing user interactions. We'll dive into

Finetuning LLaMA 70B with No-Code: Results, Methods, and Implications

Finetuning LLaMA 70B with No-Code: Results, Methods, and Implications

In this blog post, we will demonstrate how you can effortlessly fine-tune the LLaMA 2 - 70B model at a fraction of the cost of $57.75 with just a few clicks, utilising the No-Code LLM-Finetuner from Monster API. Download the Fine-Tuned Model weights from Hugging Face Overview of LLaMa