Tabular Data Exploration and Modelling with LLMs
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Exploring the way to perform tabular data science activity with LLMImage developed by DALL.E Large Language Models have been rising recently and will be like that in the upcoming year. The rise could …
Is Mamba the End of ChatGPT As We Know It?
Author(s): Ignacio de Gregorio Originally published on Towards AI. The Great New Question Two researchers have made the boldest claim in years: throwing the biggest algorithmic breakthrough of the 21st century out the window. Named Mamba, it achieves what was once thought …
Psychopathology of Large Language Models: Foundation Models in a Neurobiological Perspective
Author(s): Alberto Paderno Originally published on Towards AI. Psychopathology of Large Language Models: Foundation Models in a Neurobiological Perspective Optimal Brain Damage, Synaptic Pruning, and the Problem of “Hallucinations” Artificial psychosurgery, modifying the architecture to improve the function — Image generated by …
Page by Page Review: Mixtral of Experts (8x7B)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A completely opensource model that could dominate the entrepreneurial scene in the field of Generative AI TLDR: Core points: Mixtral is a Sparse Mixture of Experts (SMoE)It has 8 expert models. …
Data Reliability 101: A Practical Guide to Data Validation Using Pydantic in Data Science Projects
Author(s): Shivamshinde Originally published on Towards AI. This article will explain Why data validation is needed for the Python code, How it’s done using the Pydantic library, and How to integrate it into your data science projects. Photo by Anthony Bressy on …
![Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 2]](https://i0.wp.com/miro.medium.com/v2/resize:fit:700/1*GsFRA_91_VibuBd2Hl_Keg.png?w=700&resize=700,500&ssl=1 "Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 2]")
Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 2]
Author(s): Youssef Hosni Originally published on Towards AI. Once you’ve loaded documents, you’ll often want to transform them to better suit your application. The simplest example is you may want to split a long document into smaller chunks that can fit into …
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 …
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 …
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 …
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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