Marktechpost

FEBRUARY 28, 2024

In deployment mode, TestGen-LLM operates to fully automate the process of test class improvement, relying on a curated mix of LLMs and strategies to generate recommendations for code enhancements. The post Meta AI Introduces TestGen-LLM for Automated Unit Test Improvement Using Large Language Models (LLMs) appeared first on MarkTechPost.

Large Language Models 122

Large Language Models LLM Automation Software Engineer 122

Unite.AI

NOVEMBER 14, 2023

Transitioning from Low-Code to AI-Driven Development Low-code & No code tools simplified the programming process, automating the creation of basic coding blocks and liberating developers to focus on creative aspects of their projects. But as we step into this new AI wave, the landscape changes further. using GPT-3.

Large Language Models 331

Large Language Models Software Engineer Computer Scientist ChatGPT 331

Mlearning.ai

OCTOBER 22, 2023

dbt helps transform data in your warehouse all through SQL following software engineering best practices. Continue reading on MLearning.ai »

Software Engineer 98

Software Engineer Automation ML 98

AI News

APRIL 10, 2024

This allows developers to generate JSON code snippets that can automate actions within connected apps, such as sending emails, making purchases, or posting online. A key enhancement is the ability for API requests to utilise the model’s vision recognition and analysis capabilities through text format JSON and function calling.

OpenAI 270

OpenAI Big Data Software Engineer Large Language Models 270

AI News

JANUARY 17, 2024

The system builds on Stability AI’s Stable LM natural language model with additional training on software engineering data like code repositories and programmer forums. Its arrival promises to further accelerate the integration of generative AI into software development workflows across industries.

Software Development 242

Software Development Big Data Software Engineer AI 242

Flipboard

JUNE 28, 2023

Sourcegraph, a leader in universal code search and AI-assisted software engineering, announced the release of Cody version 5.1 The new version provides Cody with a broader view of code context across repositories and improved automation … today, a major upgrade to its AI coding assistant.

Software Engineer 134

Software Engineer AI Tools Automation AI 134

Unite.AI

FEBRUARY 12, 2024

Revolutionizing Software Engineering with Generative AI One of the standout tools mentioned in the report is GitHub Copilot. This AI-powered tool represents just the tip of the iceberg in terms of how generative AI is transforming the software development process.

Generative AI 239

Generative AI UX Design Software Development Software Engineer 239

Unite.AI

OCTOBER 30, 2023

Scott Stevenson, is Co-Founder & CEO of Spellbook , a tool to automate legal work that is built on OpenAI's GPT-4 and other large language models (LLMs). I loved video games as a kid, and was inspired to learn how to make them as a teen–that set me on the course of becoming a software engineer.

Auto-complete 182

Auto-complete Software Engineer Large Language Models Automation 182

Unite.AI

APRIL 22, 2024

At its core, software is written to automate functions – fundamentally that is through workflow that orchestrates over actions. The most essential action within software that affects business outcomes are business decisions. This agility is vital when responding to emerging trends and accommodating new user needs.

ML 246

ML Software Engineer Algorithm Artificial Intelligence 246

Marktechpost

APRIL 26, 2024

This limitation often affects their performance in complex software engineering tasks, such as program repair, where understanding the execution flow of a program is essential. Existing research in AI-driven software development includes several frameworks and models focused on enhancing code execution reasoning.

Machine Learning 135

Machine Learning Large Language Models Software Development Neural Network 135

Marktechpost

SEPTEMBER 30, 2023

A revolution in the field of coding work automation has been brought about by introducing Large Language Models (LLMs), such as GPT-3. These tools are now frequently used to automate tasks like code modification and completion using natural language inputs and contextual data.

Large Language Models 132

Large Language Models Software Engineer Automation LLM 132

Towards AI

MARCH 7, 2024

This facilitates integration of your model into various applications by other engineers such as architects, software engineers, and web developers. Fortunately, tools like Swagger UI offer automated generation of interactive API documentation. This API service essentially acts as a URL endpoint for invoking your AI model.

Data Science 105

Data Science Software Engineer Data Scientist Python 105

AWS Machine Learning Blog

MAY 2, 2024

Highly automated operations – Our new recipes are designed to reduce your overhead for training and tuning the model. Pranesh Anubhav is a Senior Software Engineer for Amazon Personalize. Tianmin Liu is a senior software engineer working for Amazon personalize. Outside of work, Dan is an avid skier and hiker.

Metadata 88

Metadata Software Engineer Large Language Models Machine Learning 88

IBM Journey to AI blog

APRIL 10, 2024

It is imperative that you save costs in everything: automation will help drive faster feature go-lives, faster feedback loops, less waiting and coordination times, high quality test frameworks, resilient platforms, easy and fast upgrades, zero downtimes among others.

Software Engineer 248

Software Engineer Automation ML AI 248

AWS Machine Learning Blog

MAY 10, 2023

They could use shadow tests to evaluate model performance of new versions before they are deployed to customers, SakeMaker Model Registry to manage model versions and automate model deployment, and SageMaker Model Monitoring to monitor the quality of their model in production.

Automation 64

Automation ML Software Engineer Machine Learning 64

AWS Machine Learning Blog

DECEMBER 19, 2023

Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations. With the rapid growth in ML systems and in the context of ML engineering, MLOps provides capabilities that are needed to handle the unique complexities of the practical application of ML systems.

Machine Learning 111

Machine Learning ML Engineer DevOps ML 111

ODSC - Open Data Science

APRIL 5, 2023

Written by Joseph Briggs and Devesh Kodnani, the report claims that around two-thirds of current jobs are currently exposed to AI automation in some form. This is taken from the data from their analysis of occupational tasks in both the United States and Europe which shows how automation could reduce labor needs.

ChatGPT 98

ChatGPT Software Engineer Data Science Automation 98

Allen AI

MARCH 29, 2024

Outside of school, Elaine has worked at the UW Sensors, Energy, and Automation Laboratory as an Undergraduate Research Associate and CodeDay as a Software Engineer Intern. In terms of her summer 2024 internship at AI2, she’s already thinking about her project and is excited to get to work training LLMs.

Software Engineer 52

Software Engineer Artificial Intelligence Artificial Intelligence AI 52

NVIDIA

APRIL 25, 2024

Enterprises of all sizes depend on Siemens’ Teamcenter software, part of the Siemens Xcelerator platform, to develop and deliver products at scale. Siemens CEO Roland Busch and Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA, shared their vision on the potential of OpenUSD for customers in all industries.

Software Engineer 89

Software Engineer Computer Vision Robotics AI Modeling 89

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

Data Science 212

Data Science Data Scientist Machine Learning Data Mining 212

Becoming Human

JANUARY 23, 2023

This is especially true for high-demand roles such as data scientists, software engineers, and digital marketing specialists. Attracting and Retaining Talent AI can help HRM attract and retain talent by automating the recruitment process. The Role of Artificial Intelligence in Addressing HRM Challenges 1.

Artificial Intelligence 81

Artificial Intelligence Artificial Intelligence Machine Learning Software Engineer 81

Flipboard

JUNE 13, 2023

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. We have begun scaling out its use across a broader range of engineers and expect greater value as we use it more.” Made with Microsoft Bing Image Creator.

Generative AI 175

Generative AI Auto-complete Software Engineer AI 175

Mlearning.ai

DECEMBER 21, 2023

Design patterns in software engineering are typical solutions to common problems in software design. They represent best practices, evolved over time, and are a toolkit for software developers to solve common problems efficiently. The team sets up an automated pipeline for continuous integration and deployment.

Software Engineer 52

Software Engineer Software Development DevOps Algorithm 52

Marktechpost

JULY 23, 2023

Most data scientists believe that deploying models is a software engineering mission and should be handled by software engineers, as all the skills required are more closely aligned with their day-to-day work. So to avoid slowing down, automate as much as possible.

Machine Learning 52

Machine Learning Software Engineer Data Scientist ML 52

IBM Journey to AI blog

AUGUST 11, 2023

MLOps, which stands for machine learning operations, uses automation, continuous integration and continuous delivery/deployment (CI/CD) , and machine learning models to streamline the deployment, monitoring and maintenance of the overall machine learning system. How to use ML to automate the refining process into a cyclical ML process.

Data Science 145

Data Science DevOps Machine Learning Data Scientist 145

Heartbeat

FEBRUARY 1, 2023

MLOps is a highly collaborative effort that aims to manipulate, automate, and generate knowledge through machine learning. The machine learning engineers are in charge of taking the models developed by data scientists and deploying them into production. They may also be involved in the deployment process’s automation.

DevOps 96

DevOps Machine Learning Data Scientist Software Engineer 96

Mlearning.ai

FEBRUARY 15, 2024

That’s the reason why Robotic Process Automation (RPA) is gaining traction across industries, including the financial and banking sectors. Currently available technologies empower the automation of multiple jobs in different spheres. What is Robotic Process Automation in Banking? What is Robotic Process Automation in Finance?

Robotics 52

Robotics Automation Software Engineer Software Development 52

AWS Machine Learning Blog

APRIL 19, 2024

With Amazon Personalize, you can streamline your workflow and automate the deployment of the latest solution version to campaigns via automatic syncing. Ajay Venkatakrishnan is a Software Development Engineer on the Amazon Personalize team. Pranesh Anubhav is a Senior Software Engineer for Amazon Personalize.

Auto-complete 103

Auto-complete ML Software Engineer Machine Learning 103

ODSC - Open Data Science

JUNE 3, 2023

Software Engineers This wouldn’t be a proper blog if we didn’t touch the elephant in the room -software engineers. So you might ask, what can a software engineer get from a coding assistant that he doesn’t already have? Well, there are a few things. What’s next?

Data Scientist 52

Data Scientist Software Engineer Data Science AI 52

AWS Machine Learning Blog

MARCH 22, 2024

He partners with software companies to architect and implement cloud-based solutions on AWS. Before joining AWS, he worked for AWS customers and partners in software engineering, consulting, and architecture roles for 8+ years. Matt’s background includes eCommerce, enterprise search, personalization, and marketing automation.

Large Language Models 94

Large Language Models Natural Language Processing Software Engineer NLP 94

ODSC - Open Data Science

OCTOBER 17, 2023

About the Authors/ODSC West 2023 Speakers Geeta Shankar is a software engineer who specializes in leveraging data for business success. Tuli Nivas is a Software Engineering Architect at Salesforce with extensive experience in design and implementation of test automation and monitoring frameworks.

Software Engineer 98

Software Engineer Data Science Machine Learning Python 98

Chatbots Life

APRIL 19, 2024

75% of value created by AI falls within customer operations, marketing, sales, software engineering, and R&D. It can automate, enhance, and expedite a wide range of tasks across various functions. It focuses on information retrieval, task automation, and content creation. The technology could contribute $2.6

Generative AI 59

Generative AI Conversational AI Automation AI 59

ODSC - Open Data Science

SEPTEMBER 19, 2023

Prompt engineers take on this challenge by optimizing LLMs to process and generate content at scale. This task involves a combination of software engineering expertise and computational efficiency. Engineers delve into the architecture of LLMs, identifying potential bottlenecks and areas for improvement.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Software Engineer 98

Mlearning.ai

SEPTEMBER 1, 2023

And organizations are now automating manual tasks such as knowledge management and document processing. In this post, I’ll share my insights on the integration of AI and automation in work environments and discuss how ChatGPT can contribute to effective data management. Healthcare workers sum up patient histories quickly.

ChatGPT 52

ChatGPT Automation LLM Software Engineer 52

Marktechpost

APRIL 16, 2024

Large Language Models (LLMs) have significantly advanced such that development processes have been further revolutionized by enabling developers to use LLM-based programming assistants for automated coding jobs. The study focuses on approaches to code search that imitate how software programmers think. This is far faster than the 2.77-day

Artificial Intelligence 114

Artificial Intelligence Artificial Intelligence Automation Software Engineer 114

Robot Writers AI

OCTOBER 29, 2023

One caveat: Dalle-E-3 runs on ChatGPT’s fastest software engine — GPT-4 — which is limited to 50 prompts every three hours. SurveyMonkey Adds AI-Powered Survey Creation: Fans of automated writing can now find that capability in SurveyMonkey, which now auto-creates surveys based on user descriptions of what they want.

Auto-complete 110

Auto-complete Robotics AI AI 110

IBM Journey to AI blog

AUGUST 9, 2023

No matter the size of your organization, consider implementing an observability solution as an integral part of your software engineering and monitoring practices. This means better system performance, greater reliability and better user experiences.

Software Engineer 167

Software Engineer Automation 167