lambda

Google just released its long-awaited ChatGPT killer, Gemini, an ultra-smart AI chatbot that can finally match OpenAI’s ChatGPT. Early reviews of Google’s chatbot are slowly rolling out, and everyone is impressed. However, some can’t shake this eerie feeling that Gemini has more ghosts than a haunted house.No Google AI Search, I Don’t Need to Learn About the “Benefits of Slavery” “GPT-4 is full of ghosts. Gemini is also full of ghosts,” said Ethan Mollick, a professor at the Wharton School of the University of…

Using Poetry and Docker to Package Your Model for AWS LambdaAn accessible tutorial for one way to put a model into production, with special focus on troubleshooting and hiccups you might encounter along the wayI like to think of models as little critters. Photo by Jiawei Zhao on UnsplashAs promised, this week I’m coming with a more technical topic and taking a little break from all the discussions of business. I recently had an opportunity to deploy a new model using AWS Lambda, and I learned a few things when combining…

NVIDIA’s AI Enterprise software shown at Supercomputing ‘23 connects accelerated computing to large language model use cases. At the Supercomputing ‘23 conference in Denver on Nov. 13, NVIDIA announced expanded availability of the NVIDIA GH200 Grace Hopper Superchip for high-performance computing and HGX H200 Systems and Cloud Instances for AI training. Jump to: NVIDIA HGX GH200 supercomputer enhances generative AI and high-performance computing workloads The HGX GH200 supercomputing platform, which…

Learning a little about these tools and how to integrate themPhoto by Nolan Krattinger on UnsplashA few weeks ago, while doing my mental stretch to think about new post ideas, I thought: Well, I need to learn (and talk) more about cloud and these things, I’ve practiced a lot on on-premise ambients, using open-source tools, and running away from proprietary solutions… But the world is cloud and I don’t think that this is gonna change any time soon…I then wrote a post about creating a data pipeline with local Spark and GCP,…

An introduction to their syntax, capabilities, and applicability in data scienceImage by the Author.Lambda functions in Python are small, anonymous (or nameless) functions characterized by a more concise syntax compared to regular Python functions.Within the realm of data science, lambda functions are frequently used in conjunction with higher-order functions. These are functions that take one or more functions as arguments, or return a function as their result. Common examples include map(), filter(), and reduce().Before…

As Alphabet Inc looks past a chatbot flub that helped erase $100 billion from its market value, another challenge is emerging from its efforts to add generative artificial intelligence to its popular Google Search: the cost. Executives across the technology sector are talking about how to operate AI like ChatGPT while accounting for the high expense. The wildly popular chatbot from OpenAI, which can draft prose and answer search queries, has "eye-watering" computing costs of a couple or more cents per conversation,…

A lambda expression is a code you enter to define a short function. A lambda function is mostly present in modern languages (Ruby, Javascript, Java..). It’s just an expression that creates a function. It is very important that programming languages ​​support first-class functions, which natively pass functions as arguments to other functions or assign them to variables. This is source code text passed to the compiler and recognized using a specific syntax. (In Javascript, this is technically called an arrow function…

Welcome to our tutorial on deploying a machine learning (ML) model on Amazon Web Services (AWS) Lambda using Docker. In this tutorial, we will walk you through the process of packaging an ML model as a Docker container and deploying it on AWS Lambda, a serverless computing service. By the end of this tutorial, you will have a working ML model that you can invoke through an API, and you will have gained a deeper understanding of how to deploy ML models on the cloud. Whether you are a machine learning engineer, data…

We breakdown the process of building a lambda function for machine-learning API endpointsImage SourceLambda is a powerful serverless managed service on the AWS cloud. At its introduction in 2014, Lambda offered a unique event-driven abstraction that took the hassle of managing compute resources out of the equation. In many ways, it was the first true serverless cloud service.Today, they play a crucial role in stitching together enterprise machine-learning applications due to their nimble ability to perform critical…

Introduction to the Lambda Function in PythonPhoto by Henry & Co. on UnsplashPython lambdas are so-called anonymous functions with which you can quickly define functions that can have multiple inputs, but only one output. Such anonymous functions are not only used in Python, but also in other programming languages like Java, C#, or C++.In Python, the definition of a function is marked with “def”. Then its name is defined and the arguments with names are listed in round brackets. The following function named “sum”…