TensorFlow: The Hidden Gem of Data Science.
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. I have been reading a lot of publications regarding data science for the past 3 years or so, and I honestly think that tensor flow is not getting the attention it deserves. This …
Build your own Large Language Model (LLM) From Scratch Using PyTorch
Author(s): Milan Tamang Originally published on Towards AI. A Step-by-Step guide to build and train an LLM named MalayGPT. This modelβs task is to translate texts from English to Malay language. What will you achieve by the end of this post? You …
An Easy One Prompt Stunning Python Sunburst Dashboard With GPT4
Author(s): John Loewen, PhD Originally published on Towards AI. No-fuss beautiful Plotly sunburst chart with GPT-4 prompting Top highlight Sunburst chart representing UNHCR data (with assistance from Dall-E) GPT-4 is terrific for generating data cleaning and visualization code in Python. In combination …
Can Transformer Substitute Graph Neural Networks?
Author(s): Salvatore Raieli Originally published on Towards AI. Are transformers able to do graph reasoning and to which extent?image generated by the author using AI Mathematical reasoning may be regarded rather schematically as the exercise of a combination of two facilities, which …
Convolutional Neural Networks in PyTorch: Image Classification
Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. In this exercise I will use the PyTorch package to build a convolutional neural network with the intention of training a model to classify a given set of images. Convolutional Neural Networks are different …
Mastering Evaluations in LangSmith: Enhancing LLM Performance
Author(s): Mostafa Ibrahim Originally published on Towards AI. Source Large Language Models (LLMs) are AI models capable of generating text that resembles human language. They are trained on extensive text datasets and are suitable for various natural language processing tasks, including translation, …
Classifying NBA Positions by Physical Traits β Part I
Author(s): Vishnu Regimon Nair Originally published on Towards AI. Photo by Markus Spiske on Unsplash In 2019, NBA teams spent over 3 billion dollars on guaranteed salaries to players in the first three days of free agency. These expensive contracts often lock …
The Rise of Vector Databases: Understanding Vector Search and RAG Pipeline
Author(s): Shwetha Acharya Originally published on Towards AI. What is a Vector? Vector is an object that possesses both magnitude and direction. It is represented as an array of numbers that define its dimensionality. Here is an example of how vectors β …
Evaluating LLM Applications Using LangChain
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On LangChain for LLM Application Development When constructing a sophisticated application employing an LLM, a crucial yet challenging aspect revolves around evaluating its performance. How can you ascertain if it meets accuracy standards? Moreover, …
Technical Post-Mortem of a Data Migration Event
Author(s): Vishnu Regimon Nair Originally published on Towards AI. Key Objectives of Data Migration. Image by Author In this data-driven landscape, extracting the maximum value from data is crucial for success. As data volumes grow exponentially, organizations face considerable pressure to optimize …
Towards AI newsletter #102: GenAI advances beginning to benefit weather forecasting?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Microsoftβs Aurora, Codestral, MoRA, XAi raise & more. What happened this week in AI by Louie While there was plenty of newsflow in the LLM world again this week, we are also …
Token-wise Influential Training Data Retrieval for Large Language Models
Author(s): Reza Yazdanfar Originally published on Towards AI. Iβm working on a powerful product, nouswise, go and check it out. Itβs in the beta phase, if it interests you hit me up on X. Itβs important to know which response corresponds to …
The Architecture of Mistralβs Sparse Mixture of Experts (Sγ½οΈβE)
Author(s): JAIGANESAN Originally published on Towards AI. Exploring Feed Forward Networks, Gating Mechanism, Mixture of Experts (MoE), and Sparse Mixture of Experts (SMoE). Photo by Ticka Kao on Unsplash Introduction:🥳 In this article, weβll dive deeper into the specifics of Mistralβs SMoE …
Using Neural Networks with Pytorch to Predict Fail of Automatic Recovery
Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. This exercise is part of aproject implemented on a hardware system. The system has automatic doors that allow to be recovered when they fail to operate by the user (to cover the scenario of …
Unsupervised Clustering: Can We Identify Clusters in the Descriptions of Sounds in Music?
Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. The data used is tricky because it is a list of Spotify songs, which are assigned values that describe the sounds in them. At this point, the goal is to see if those descriptions …
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