From Code to Cloud: Building CI/CD Pipelines for Containerized Apps
Author(s): Afaque Umer Originally published on Towards AI. From Code to Cloud: Building CI/CD Pipelines for Containerized Apps Photo by Simon Kadula on Unsplash Introduction U+1F516 Imagine yourself as a Data Scientist, leaning in over your keyboard, sculpting Python scripts that decode …
How To Do RAG Without Vector Databases
Author(s): ___ Originally published on Towards AI. Knowledge Graphs Are All You Need π When it comes to bestowing Large Language Models (LLMs) with long-term memory, the prevalent approach often involves a Retrieval Augmented Generation (RAG) solution, with vector databases acting as …
Prompt Engineering Best Practices: Textual Inference & Sentiment Analysis
Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction – Tuned LLMs LLMs offer a revolutionary approach by enabling the execution of various tasks with a single prompt, streamlining the traditional workflow that involves developing and deploying separate models …
Prompt Engineering Best Practices: Textual Inference & Sentiment Analysis
Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction – Tuned LLMs LLMs offer a revolutionary approach by enabling the execution of various tasks with a single prompt, streamlining the traditional workflow that involves developing and deploying separate models …
Top Important LLM Papers for the Week from 19/02 to 25/02
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research 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 …
Top Important Computer Vision Papers for the Week from 19/02 to 25/02
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, …
Understand ChatGPT Better Than 99% of People
Author(s): Boris Meinardus Originally published on Towards AI. Everyone knows ChatGPT, but do you know how it works? You perhaps know it predicts one word at a time. But do you know how it chooses the right word? Because itβs probably not …
Sentiment Analysis of Yelp Restaurants Reviews in Real-Time
Author(s): Sara M. Originally published on Towards AI. Image By rawpixel.com from Freepik Your Guide to real-time Sentiment Analysis In the bustling world of modern-day dining experiences, customer feedback holds a paramount role in shaping the success and reputation of restaurants. The …
Mistralβs new chatbot: Unpacking Le Chatβs Capabilities and Controversies
Author(s): Jelle Van Bost Originally published on Towards AI. Testing the Limits of Mistral AIβs Conversational Assistant in Beta AccessImage generated by the author on firefly.adobe.com Mistral's new AI tool promises powerful conversations, but after a few simple tests, I discovered that …
LangGraph + Function Call + Web Scraper = Multi-Agent Application
Author(s): Gao Dalie (ι«ιη) Originally published on Towards AI. In this Story, I will break down how you can create a LangGraph, make function calls, and develop a web scraper to scrape any website you like. On top of that, you can …
GLIGEN, the Tool to Rule All AI Image Generators
Author(s): Ignacio de Gregorio Originally published on Towards AI. The Grounding Problem Solved? The tool all artists have been waiting for is here. GLIGEN is a new framework by Microsoft and the Universities of Washington-Madison and Columbia that allows much higher control …
Hands-On LangChain for LLM Applications Development: Prompt Templates
Author(s): Youssef Hosni Originally published on Towards AI. By prompting an LLM or large language model, it is possible to develop complex AI applications much faster than ever before. However, an application can require prompting an LLM multiple times and parsing its …
Predict Health Outcomes of Horses β A Classification Project in Machine Learning
Author(s): Kamireddy Mahendra Originally published on Towards AI. Keeping a horse healthy is like maintaining a prized possession; itβs the key to enjoying countless joyful moments together. Photo by Helena Lopes on Unsplash Before getting into Machine Learning Project Series β Part …
Size Matters: How Big Is Too Big for An LLM?
Author(s): Dr. Leon Eversberg Originally published on Towards AI. Compute-optimal large language models according to the Chinchilla paperThe evolution of GPTβs number of parameters over time. Large Language Models (LLMs) have grown rapidly in size over the past few years. As shown …
Clustering with Scikit-Learn: a Gentle Introduction
Author(s): Riccardo Andreoni Originally published on Towards AI. Learn how to apply state-of-the-art clustering algorithms efficiently and boost your machine-learning skills.Image source: unsplash.com. You find yourself in a vast library with countless books scattered on the shelves. Each book is a unique …
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