Powerful AI Tools Can Change Your Small And Medium Business Growth
Author(s): Towards AI Editorial Team Originally published on Towards AI. In today’s rapidly evolving landscape, staying ahead of the curve is crucial for small businesses. One powerful tool that can help them achieve this is Artificial Intelligence (AI). Contrary to popular belief, …
Transformers Well Explained: Masking
Author(s): Ahmad Mustapha Originally published on Towards AI. This is the second part of a four-article series that explains transforms. Each article is associated with a hands-on notebook. In the previous article, we explained word embeddings in detail and then trained an …
This AI newsletter is all you need #90
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we saw a continued rapid pace of new LLM releases and the recent accelerated development of robotics foundation models. Cohere released its …
A Comprehensive Guide to PyTorch Tensors: From Basics to Advanced Operations
Author(s): Fatma Elik Originally published on Towards AI. Photo by Sebastian Coman Photography on Unsplash Unlock PyTorch tensor mastery!U+2728 From basics to advanced operations, elevate your Deep Learning skills with this comprehensive guide. U+1F525 Overview of the Course Structure U+1F9F5 Introduction to …
Prompt Engineering Best Practices: Text Transforming & Translation
Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction-Tuned LLM Large language models excel at translation and text transformation, effortlessly converting input from one language to another or aiding in spelling and grammar corrections. They are adept at taking …
How to Save Money Using Large Models?
Author(s): Meng Li Originally published on Towards AI. Created by Meng Li Large models are really popular right now, but they can be quite expensive to use! However, I’ve found some cost-saving methods that I’d like to share with everyone. Firstly, we …
Semantic Caching in Generative AI Chatbots
Author(s): Marie Stephen Leo Originally published on Towards AI. Reduce LLM latency and cost by over 95% using OpenAI, LiteLLM, Qdrant, and Sentence Transformers!Image generated by Author using Dall E 3 Latency and costs are significant challenges with LLM-based chatbots today. The …
Can a 7B Parameter Large Model Run on 24GB of Memory?
Author(s): Meng Li Originally published on Towards AI. Created by Meng Li Training large language models always presents a significant challenge with memory. Weights and optimizer states consume a considerable amount of memory. To save memory, some techniques have been devised, such …
OpenAI JSON Mode vs Functions
Author(s): João Lages Originally published on Towards AI. When working with the OpenAI API, you’ll encounter two primary methods for obtaining structured output responses from GPT models: JSON mode and Function calling. Both are powerful tools, but understanding when to use each …
Custom GPT Creation For Data Visualization: A Step-by-Step Guide
Author(s): John Loewen, PhD Originally published on Towards AI. Using GPT Builder to simplify and accelerate data visual creationDall-E image: Impressionist painting of GPT-4 as a cube robot assisting my workflow. To simplify and accelerate real-time data visualizations with GPT-4, you can …
GPUs + Kubernetes =? Decoding next-gen AI-enabling workloads
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Cloud-native technologies such as Kubernetes and serverless have been revolutionizing modern application design and deployment in recent years. Now, with AI's rising importance, Kubernetes and GPUs are becoming the backbone of some …
How I Organized a One-week University Course on Deep Learning
Author(s): Rodrigo da Motta C. Carvalho Originally published on Towards AI. A hot topic in Data Science is how to teach it. Therefore, if you are looking for ways to detangle this massive topic into clear fields, this article suits you as …
Building RAG Application using Gemma 7B LLM & Upstash Vector Database
Author(s): Youssef Hosni Originally published on Towards AI. Retrieval-Augmented Generation (RAG) is the concept of providing large language models (LLMs) with additional information from an external knowledge source. This allows them to generate more accurate and contextual answers while reducing hallucinations. In …
How to Use Machine Learning to Make Powerful UFC Fight Predictions
Author(s): Eivind Kjosbakken Originally published on Towards AI. This article teaches you how to approach and solve a data science project by examining the prediction of UFC fight outcomes. This article will feature how to make accurate classification predictions for the outcome …
Revolutionary Computer Vision
Author(s): Enos Jeba Originally published on Towards AI. The amazing projects inspired me to look at computer vision as the most comfortable field I would ever work in. I like getting my head into different fields and trying to connect the dots …
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