Understanding Distributed Computing
Author(s): Renu Gehring Originally published on Towards AI. Photo by charlesdeluvio on Unsplash I am having coffee and a slice of poundcake one afternoon with my imaginary friend, Mr. Pound, in his charming and entirely fictitious bakery, βPound Cakes and Moreβ. Business …
How to use LLMs locally with ollama and Python
Author(s): Andrea D’Agostino Originally published on Towards AI. This article will walk you through using ollama, a command line tool that allows you to download, explore and use Large Language Models (LLM) on your local PC, whether Windows, Mac or Linux, with …
Streamline ML Workflow with MLflowοΈ β Part I
Author(s): ronilpatil Originally published on Towards AI. PoA β Experiment Tracking U+1F504 U+007C Model Registry U+1F3F7οΈ U+007C Model Serving U+1F680 Photo by ε€ εη½ on Unsplash Hi folks, In this blog Iβll explain βHow can we leverage MLflow to track the machine …
How will AI impact Healthcare?
Author(s): Louis-FranΓ§ois Bouchard Originally published on Towards AI. What will the future of healthcare look like? Originally published on louisbouchard.ai, read it 2 days before on my blog! Imagine taking a pill no one else can take, guaranteeing good health only for …
You Wonβt Believe How This Python Library Unlocks GPT-4 Level Features with Claude 3
Author(s): Vatsal Saglani Originally published on Towards AI. Illustration generated by DALL-E The OpenAI models are great at generating structured text data. They used this ability of their LLMs and implemented function calling. Function calling classifies what function to call and what …
The Optimal Craft of Movie Shooting Schedule using ORTools
Author(s): Optimization team Originally published on Towards AI. In a movie, there are often numerous scenes, each resembling puzzle pieces, meticulously arranged by the director. These scenes unfold, not always in sequential order, forming the cohesive narrative of the film. For instance, …
A Data Analysis Project β Adidas Sales Report.
Author(s): Kamireddy Mahendra Originally published on Towards AI. Data-driven insights are the new currency of business. β Martha Stewart. Image designed by author Kamireddy Mahendra. As a data analyst, we should present the insights from the given data to stakeholders who will …
Powerful AI Tools Can Change Your Small And Medium Business Growth
Author(s): Towards AI Editorial Team Originally published on Towards AI. In todayβs 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, Iβve found some cost-saving methods that Iβd 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 …
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