What is RAG?
Author(s): Louis Bouchard Originally published on Towards AI. Retrieval augmented generation simply explained Originally published on louisbouchard.ai, read it 2 days before on my blog! When using ChatGPT, you most probably have encountered responses like, “I’m sorry, but as of my last …
A Comprehensive Guide to Data-Driven Customer Lifecycle Management
Author(s): Saif Ali Kheraj Originally published on Towards AI. Figure 1: https://www.shutterstock.com/image-vector/4-stages-customer-life-cycle-mind-2304739019 From the standpoint of data strategy, the customer lifecycle is a critical topic in the field of targeted and precise marketing. Let’s take a closer look at how it works. …
Mastering GPT-4 Code Prompts With Guardrails and Custom Instructions
Author(s): John Loewen, PhD Originally published on Towards AI. The system prompts to minimize GPT-4 Python coding frustrationDall-E 2 image: An impressionist painting of AI as a blue cube holding on to a guard rail As a Com Sci prof, I have …
Basics of Foundation Models
Author(s): manish kumar Originally published on Towards AI. Generative AI is taking the world by storm. Everybody is talking about ChatGPT, BARD, and Large Language Models (LLMs). Every day, new research and new information flood our technical newsletter subscriptions and our favorite …
A Detailed Explanation of Mixtral 8x7B Model
Author(s): Florian Originally published on Towards AI. Including principles, diagrams, and code. Since the end of 2023, the Mixtral 8x7B[1] has become a highly popular model in the field of large language models. It has gained this popularity because it outperforms the …
This AI newsletter is all you need #81
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we have been watching signs of competition heating up in LLM Chatbot products, with Google and Microsoft developing their ChatGPT alternatives. ChatGPT …
7 Mistakes Beginner ML Students Make Every Year
Author(s): Boris Meinardus Originally published on Towards AI. Don’t study LLMs! You’re making a mistake! I have received a lot of DMs from people asking me for advice on how to learn machine learning. So in this post, I thought I would …
AI Basics: What is behind a Feedforward Neural Network
Author(s): Caspar Bannink Originally published on Towards AI. Welcome to part 3 of the AI basics series. In this post, we will take a look at the feedforward neural network. Image 1) Credits to author (AI-assisted) In the ever-evolving world of artificial …
GPT-4 Custom Instructions To Optimize Python Code Creation
Author(s): John Loewen, PhD Originally published on Towards AI. Python Plotly dashboard code in less than 10 minutesDall-E 2 image: impressionist painting of prompting GPT-4 As a comp sci professor, over the past 8 months, I have heavily integrated GPT-4 into my …
Top Important Computer Vision Papers for the Week from 01/01 to 07/01
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
Fast and Efficient Model Finetuning using the Unsloth Library
Author(s): Eduardo Muñoz Originally published on Towards AI. Image generated by the author on Leonardo.ai Introduction Recently a new framework or library to optimize the training and fine-tuning stage of a large language model has been released: Unsloth. This library is a …
Microsoft Phi-2: Tiny Mighty Open Source Model with Verbal Diarrhea
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A new lightweight model for developing prototypes The Phi-2 model, developed by Microsoft, is a 2.7 billion-parameter language model that has recently gained attention in the field of natural language processing …
A Swift Introduction to Deep Learning with PyTorch and TensorFlow
Author(s): Günter Röhrich Originally published on Towards AI. Stepping through theory, background, and code examples Neural networks have gained incredible attention over the last decade (despite being around for much longer), and seem to have made incredible progress in the eyes of …
Logistic Regression’s Journey with Imbalanced Data
Author(s): Anand Raj Originally published on Towards AI. Visual intuition behind the effect of imbalanced data on logistic regression In the vast landscape of data-driven decision-making, class imbalance is a subtle yet influential factor that can significantly impact the performance of machine …
Categorical Encoding for Time Series: Embracing Dynamic and Meaningful Techniques
Author(s): Alexandre Warembourg Originally published on Towards AI. Let’s move beyond static encoding methods and explore dynamic, meaningful techniques for high-cardinality categorical variables.source: Image generated by Dall-E from Author prompt The categorical data type is data divided by several modalities; let’s take …
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