Heartbeat

FEBRUARY 29, 2024

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

Software Engineer 52

Software Engineer Software Development LLM Large Language Models 52

Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. Meet the MLOps Engineer: the orchestrating the seamless integration of ML models into production environments, ensuring scalability, reliability, and efficiency.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

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 122

Artificial Intelligence Artificial Intelligence Automation Software Engineer 122

Towards AI

AUGUST 7, 2024

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS Code extensions that enhance productivity and collaboration for data scientists and machine learning (ML) engineers.

Data Science 108

Data Science ML ML Engineer Data Scientist 108

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. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

Large Language Models 131

Large Language Models LLM Automation Software Engineer 131

IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). ML technologies help computers achieve artificial intelligence. AIOps and MLOps: What’s the difference?

Big Data 278

Big Data DevOps Automation Machine Learning 278

Marktechpost

JUNE 22, 2024

Factory AI has released its latest innovation, Code Droid , a groundbreaking AI tool designed to automate and accelerate software development processes. This release signifies a significant advancement in artificial intelligence and software engineering. Also, don’t forget to follow us on Twitter.

Automation 119

Automation Software Engineer Software Development Large Language Models 119

Marktechpost

JULY 22, 2024

The field of software engineering continually evolves, with a significant focus on improving software maintenance and code comprehension. Automated code documentation is a critical area within this domain, aiming to enhance software readability and maintainability through advanced tools and techniques.

Automation 107

Automation Software Engineer Software Development Large Language Models 107

Marktechpost

SEPTEMBER 13, 2024

These models have demonstrated their utility in learning robot policies, high-level reasoning, and automating the generation of reward functions for policy learning. These approaches demonstrate the potential of LLMs in automating complex reasoning and decision-making processes in physical environments.

Robotics 119

Robotics Automation Software Engineer Machine Learning 119

Google Research AI blog

MAY 23, 2023

Posted by Alexander Frömmgen, Staff Software Engineer, and Lera Kharatyan, Senior Software Engineer, Core Systems & Experiences Code-change reviews are a critical part of the software development process at scale, taking a significant amount of the code authors’ and the code reviewers’ time.

ML 140

ML Software Engineer Automation Software Development 140

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

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. In areas like image generation diffusion model like Runway ML , DALL-E 3 , shows massive improvements.

Large Language Models 331

Large Language Models Software Engineer Computer Scientist ChatGPT 331

The MLOps Blog

JUNE 13, 2024

Data scientists often lack focus, time, or knowledge about software engineering principles. As a result, poor code quality and reliance on manual workflows are two of the main issues in ML development processes. I started as a full-stack developer but have gradually moved toward data and ML engineering.

ML 59

ML Data Scientist Automation Software Development 59

Marktechpost

JULY 11, 2024

Software engineering is a dynamic field focused on the systematic design, development, testing, and maintenance of software systems. Recently, advancements in large language models (LLMs) have revolutionized these processes, enabling more sophisticated automation of software development tasks. Check out the Paper.

Software Development 105

Software Development Software Engineer Large Language Models LLM 105

Marktechpost

AUGUST 11, 2024

Successfully addressing this challenge is essential for advancing automated software engineering, particularly in enabling LLMs to handle real-world software development tasks that require a deep understanding of large-scale repositories. Check out the Paper and GitHub. If you like our work, you will love our newsletter.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence LLM Software Engineer 124

AWS Machine Learning Blog

OCTOBER 22, 2024

It accelerates your generative AI journey from prototype to production because you don’t need to learn about specialized workflow frameworks to automate model development or notebook execution at scale. Create a complete AI/ML pipeline for fine-tuning an LLM using drag-and-drop functionality.

Automation 82

Automation LLM DevOps Python 82

AWS Machine Learning Blog

APRIL 26, 2023

Do you need help to move your organization’s Machine Learning (ML) journey from pilot to production? Most executives think ML can apply to any business decision, but on average only half of the ML projects make it to production. Challenges Customers may face several challenges when implementing machine learning (ML) solutions.

ML 116

ML Machine Learning Data Science Data Drift 116

Marktechpost

NOVEMBER 1, 2024

The world of software development has seen an explosion in the use of AI agents over the last few years, promising to enhance productivity, automate complex tasks, and make the lives of developers easier. can directly impact software engineering workflows by solving a substantial number of issues autonomously.

Software Development 116

Software Development Software Engineer Automation AI 116

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.

Software Engineer 246

Software Engineer ML Algorithm Artificial Intelligence 246

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

ML 167

ML Python Machine Learning Algorithm 167

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

AWS Machine Learning Blog

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. Solution overview In this post, we use publicly available data, encompassing both unstructured and structured formats, to showcase our entirely automated chatbot system.

Chatbots 127

Chatbots Automation Machine Learning DevOps 127

AWS Machine Learning Blog

APRIL 20, 2023

Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. Based on Inference Recommender’s instance type recommendations, we can find the right real-time serving ML instances that yield the right price-performance for this use case.

ML 95

ML Auto-classification Python Auto-complete 95

Unite.AI

AUGUST 1, 2024

That's the distinction between AGI and more predictive AI and narrow forms of ML that came before it. Adam highlighted that increased automation from AGI will shift human roles rather than eliminate them, leading to faster economic growth and more efficient productivity. It feels like emergent behavior.

Software Development 200

Software Development Software Engineer Automation Large Language Models 200

AWS Machine Learning Blog

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

Metadata 105

Metadata ML Software Engineer Machine Learning 105

Marktechpost

AUGUST 12, 2024

In software engineering, detecting vulnerabilities in code is a crucial task that ensures the security & reliability of software systems. If left unchecked, vulnerabilities can lead to significant security breaches, compromising the integrity of software and the data it handles.

Large Language Models 111

Large Language Models Data Scarcity Software Engineer LLM 111

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 188

Data Science DevOps Machine Learning Data Scientist 188

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. Check out the Paper.

Large Language Models 133

Large Language Models Software Engineer Automation LLM 133

AWS Machine Learning Blog

MAY 10, 2023

In this post, we share how Sleepme used Amazon SageMaker to developed a machine learning (ML) model proof of concept that recommends temperatures to maximize your sleep score. This use case demanded an ML model that served real-time inference. It provides a set of ML capabilities that run on a managed infrastructure on AWS.

Automation 71

Automation ML Machine Learning Software Engineer 71

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 129

Machine Learning ML Engineer DevOps ML 129

AWS Machine Learning Blog

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Highly automated operations – Our new recipes are designed to reduce your overhead for training and tuning the model.

Metadata 119

Metadata Software Engineer Large Language Models Machine Learning 119

AWS Machine Learning Blog

MAY 25, 2023

Infogain works with OCX Cognition as an integrated product team, providing human-centered software engineering services and expertise in software development, microservices, automation, Internet of Things (IoT), and artificial intelligence.

ML 76

ML Data Science Automation Python 76

Flipboard

NOVEMBER 21, 2024

We use Amazon SageMaker Pipelines , which helps automate the different steps, including data preparation, fine-tuning, and creating the model. Solution overview The following architecture diagram shows the various steps involved to create an automated and scalable process to fine-tune large language models (LLMs) using AutoMLV2.

Large Language Models 131

Large Language Models Automation LLM ML 131

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 140

Machine Learning Large Language Models Software Development Neural Network 140

Unite.AI

JUNE 24, 2024

At Astronomer, he spearheads the creation of Apache Airflow features specifically designed for ML and AI teams and oversees the internal data science team. It’s been fascinating to see the shifting role of the data scientist and the software engineer in these last twenty years since machine learning became widespread.

Large Language Models 130

Large Language Models Data Scientist Machine Learning Software Engineer 130

ODSC - Open Data Science

OCTOBER 25, 2024

In this demo, you’ll see how Delphina’s AI-powered “junior” data scientist can transform the data science workflow, automating labor-intensive tasks like data discovery, transformation, and model building. Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai

Data Scientist 52

Data Scientist Software Engineer Automation AI 52

Google Research AI blog

JANUARY 24, 2023

Posted by Posted by Alvin Rajkomar, Research Scientist, and Eric Loreaux, Software Engineer, Google Research Today many people have digital access to their medical records , including their doctor’s clinical notes. But no such dataset for general use by researchers exists. We have demonstrated how to overcome this limitation.

ML 72

ML Algorithm Software Engineer Large Language Models 72