Ethics in AI Made Easy: Value-Sensitive Design for Data Scientists
Author(s): Jelle Van Bost Originally published on Towards AI. Practical Strategies for Building Trustworthy AlgorithmsImage generated by the author on leonardo.ai — Commercial license Remember those jeans you swore fit two years ago? The ones you confidently squeezed in, only to experience …
Learn AI Together — Towards AI Community Newsletter #15
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, fellow AI enthusiast! While GPT-4 has lost its benchmark lead with the release of Anthropic’s Claude 3, it still dominates LLM usage in advanced applications, and this week, we saw …
Semantic Tagging: Create Meaningful Tags for your Text Data
Author(s): Gabriele Sgroi, PhD Originally published on Towards AI. Photo by Angèle Kamp on Unsplash Introduction Textual information can be found in almost every area of individual and organizational activities. Handling this huge amount of data and harnessing its power requires the …
LangChain SQL Agent for Massive Documents Interaction
Author(s): Ruben Aster Originally published on Towards AI. Image created by Midjourney (a digital document floating inside a database) I recently tackled a very interesting challenge involving AI’s ability to digitalize a vast amount of documents and enable a user to ask …
From Data Science to Production: Generating API Documentation with Swagger
Author(s): Wencong Yang Originally published on Towards AI. Figure 1. Integrate an AI model into an application. Source: by author. In the realm of IT application development, especially as a data scientist, it’s customary to encapsulate data processing and model inference pipelines …
Art of Prompting
Author(s): Poornachandra Sarang Originally published on Towards AI. Great Answers only to Right QuestionsPhoto by Priscilla Du Preez on Unsplash If you ask me the right question, you will get a meaningful answer. If your question is ambiguous, the answers may be …
AI Painting: Release of the Stable Diffusion 3 Model
Author(s): Meng Li Originally published on Towards AI. The recent publication of the Stable Diffusion 3 paper has brought exciting news! Upon evaluation, Stable Diffusion 3 has surpassed other leading systems in text-to-image generation, including DALL·E 3, Midjourney v6, and Ideogram v1. …
How To Use RAG To Improve Your LLM’s Reasoning Skills
Author(s): ___ Originally published on Towards AI. Using Your Data To Build Reasoning Chains 🧠⛓️ Retrieval Augmented Generation (RAG) typically finds its place in enhancing document-based question answering (QnA), effectively leveraging extensive databases to provide contextually relevant information for Large Language Models …
Top Important LLM Papers for the Week from 26/02 to 03/03
Author(s): Youssef Hosni Originally published on Towards AI. Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the …
Why You Should Always Start With a Baseline Model
Author(s): Jonte Dancker Originally published on Towards AI. When we start a new ML project, we usually want to do the interesting stuff as soon as possible. Test the latest model we have read about. Test the state-of-the-art model that promises the …
Visualizing World Peace with ChatGPT-4
Author(s): Dennis Niggl Originally published on Towards AI. How to rapidly generate beautiful maps and charts from global peace data.Planet earth image created by Dall-E. One of the major challenges in data science is to analyze vast amounts of raw data and …
A Comprehensive Study Plan to Master Machine Learning in 8 Weeks
Author(s): Usman Aslam Originally published on Towards AI. Unlock the secrets of machine learning mastery in just 8 weeks! Your ultimate and detailed study plan for success is revealed!Image Credit: Tatiana Shepeleva Hey aspiring machine learning enthusiasts, it’s Usman! Get ready for …
Unveiling Apple’s AI Strategy with MGIE
Author(s): Ignacio de Gregorio Originally published on Towards AI. The Truth Behind Apple’s Secrecy What the heck is Apple doing? That question might be the talk of the town these days on Wall Street. While Microsoft rides the OpenAI wave, Google pushes …
Simple Method to Generate Useful Synthetic Data
Author(s): Peter Chung Originally published on Towards AI. Read time ~5 minutes It’s become a very common phrase, but ‘data is the new oil’ rings louder and truer with each passing year. Working with large language models, developers typically face 2 big …
7 Techniques to Enhance Graph Data Ingestion with Python in ArangoDB
Author(s): Saloni Gupta Originally published on Towards AI. Photo by Alina Grubnyak on Unsplash ArangoDB stands out as one of the most versatile graph database solutions available today. My introduction to ArangoDB came during a project transition from Neo4j, where I discovered …
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