LLaMA Model Fine-Tuning: How We Built a Custom AI Coaching Assistant and Reduced Costs by 85%
Learn how LLaMA model fine-tuning helped us build UncleMatt.ai, a custom AI coaching assistant, while reducing costs by 85% compared to GPT-4 solutions.
Category Artificial Intelligence (AI)
How We Built UncleMatt.ai – A GPT-4 Powered Coaching Tool with RAG, LangChain & Pinecone
UncleMatt.ai is a custom GPT-4 powered AI coach designed using LangChain’s RAG architecture and integrated with Kajabi and WordPress. Learn how we built it step-by-step in this case study.
Review Rating Classification System Using Artificial Intelligence
Our research article titled "Multi Class Review Rating Classification Using Deep Recurrent Neural Networks" was published in an international journal "Neural Processing Letters" on 15 October 2019. In this tutorial, we briefly discuss the objectives, short summary, key contributions, and main findings presented in the article.
10 Data Science Career Paths
Data Science is an interdisciplinary field of scientific algorithms, tools, and technologies to extract useful insights from the data. This blog post lists the 10 data science career paths with job responsibilities and required skills, tools and technologies.
An Introduction To Deep Learning – AI
Deep learning is a branch of machine learning based on the artificial neural networks which automatically optimize their learned rules/ patterns when there's a wrong prediction.
An Introduction To Machine Learning – AI
Machine learning is a branch of Artificial Intelligence which deals with providing systems the ability to learn and improve from data samples without explicit programming instructions.
An Introduction to Artificial Intelligence – AI
Artificial intelligence is a field of computer science which deals with tools and techniques to train machines so that they can solve complex problems with maximum success rate. These machines learn the hidden parameters from the available data-set and then solves the unknown problems based on the learned patterns.
Code Example To Generate Word Cloud Using R – Data Analysis
Word cloud help us to understand and visualize important keywords in given textual data sets. R is a powerful programming language used for exploration and visualization of data. Following code snippet can be used to generate word cloud using R…
Useful R Packages for Data Analysis
R is a powerful programming language used for exploring and analyzing data effectively. R provides many built in functions for data analysis. Furthermore there are many other R packages for data analysis which can extend the data analysis functionality. Following…
Useful R Functions – Exploratory Data Analysis
R is a programming language used for statistical analysis and exploratory data analysis projects. According to the official website: R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language…
Limitations of Social Media Analysis for Participatory Urban Planning Process
In previous post we discussed how social media participatory process can help city designers, planners or administrators in decision making process. In this post we discuss the limitations / shortcomings of social media participatory process for urban planning. This post…
Social Media Participation in Urban Planning
Social media is generating a huge amount of data every second and this data can be used to make important decisions about any particular topic. This post is a short summary of a research paper titled as ‘SOCIAL MEDIA PARTICIPATION…
5 Steps involved in Data Analysis Process
Data science deals with large amount of data and data scientist analyse that data to extract useful information from that data. This data analysis process involve 5 steps (1). In this post we will discuss those 5 steps involved in…
Introduction to Machine Learning (Notes)
Machine Learning is basically, to train machines (computers) by feeding them with huge amount of data. As a result they can predict/extract useful information based on previously available data. For example in order for a computer to recognize hand writing, we need to train that computer by feeding it with large amount of different handwriting samples.
Introduction to Data Science (Notes)
Data science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining. Data Science is a super-set of the fields of statistics and…