Becoming Human

APRIL 19, 2024

In software development, staying ahead of the curve is vital for businesses that needs to deliver innovative and efficient solutions. The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development.

Software Development 103

Software Development Generative AI DevOps Artificial Intelligence 103

Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Its ability to automate and enhance creative tasks makes it a valuable skill for professionals across industries.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Prompt Engineering Prompt Engineer 103

O'Reilly Media

SEPTEMBER 12, 2023

That statement nicely summarizes what makes software development difficult. Software architecture is a distinct specialty that has only become more important over time. Reducing the complexity of modern software systems is a problem that humans can solve—and I haven’t yet seen evidence that generative AI can.

Software Development 140

Software Development Large Language Models Generative AI ChatGPT 140

O'Reilly Media

JANUARY 17, 2023

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software.

Automation 145

Automation Robotics Data Scientist ML 145

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 266

Big Data DevOps Automation Machine Learning 266

Flipboard

JANUARY 6, 2025

Using the platform, which uses Amazon Textract , AWS Fargate , and other services, the agency gained a four-fold productivity improvement by streamlining and automating labor-intensive manual processes. The federal government agency Precise worked with needed to automate manual processes for document intake and image processing.

ML 65

ML Machine Learning Automation Natural Language Processing 65

Marktechpost

JULY 11, 2024

Recently, advancements in large language models (LLMs) have revolutionized these processes, enabling more sophisticated automation of software development tasks. A significant challenge has emerged in the context of automating software engineering tasks. Check out the Paper.

Software Development 103

Software Development Software Engineer Large Language Models LLM 103

Marktechpost

OCTOBER 3, 2024

In the fast-paced world of software development, maintaining high code quality is paramount. Below is a curated list of the top 20 code review tools that can elevate your development workflow. Codacy Codacy is an automated code review platform that helps developers and teams improve code quality. Let’s collaborate!

Software Development 107

Software Development Automation Machine Learning ML 107

AWS Machine Learning Blog

FEBRUARY 19, 2025

AWS customers operating in regulated industries such as insurance, banking, payments, and capital markets, where decision transparency is paramount, want to launch FM-powered applications with the same confidence of traditional, deterministic software. What is Automated Reasoning and how does it help? For instance: Scenario A $1.5M

Automation 74

Automation Explainability Auto-complete Generative AI 74

Marktechpost

SEPTEMBER 9, 2023

They power virtual assistants, facilitate multilingual communication, enable automated content generation, and enhance natural language understanding in medical diagnosis and sentiment analysis. However, integrating LLMs into software development is more complex. They have become indispensable across a spectrum of applications.

Large Language Models 126

Large Language Models Software Development Prompt Engineer Prompt Engineering 126

Unite.AI

FEBRUARY 16, 2024

The demand for scalable solutions has transitioned toward microservices architecture, where applications consist of independently developed and deployed services that communicate via lightweight protocols. AI and ML require significant computational power and data processing capabilities, especially as models become more complex.

DevOps 289

DevOps Automation Software Development ML 289

AWS Machine Learning Blog

MARCH 14, 2025

This integration brings Anthropics visual perception capabilities as a managed tool within Amazon Bedrock Agents, providing you with a secure, traceable, and managed way to implement computer use automation in your workflows. With computer use, Amazon Bedrock Agents can automate tasks through basic GUI actions and built-in Linux commands.

Automation 123

Automation Software Engineer Generative AI Machine Learning 123

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. 3-way-merge UX in IDE.

ML 140

ML Software Engineer Natural Language Processing Automation 140

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.

Machine Learning 296

Machine Learning Chatbots Business Intelligence Automation 296

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

ML 153

ML DevOps Data Scientist ML Engineer 153

Unite.AI

JUNE 29, 2023

They realize how it can help draw valuable insights from data, streamline operations through smart automation, and create unrivaled customer experiences. However, developing these AI technologies and using tools such as Google Maps API for business purposes can be time-consuming and expensive.

Machine Learning 259

Machine Learning ML AI AI 259

O'Reilly Media

JANUARY 21, 2025

A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability. This approach delivers substantial benefits: consistent execution, lower costs, better security, and systems that can be maintained like traditional software.

Conversational AI 119

Conversational AI LLM Automation Software Engineer 119

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.

Automation 114

Automation Software Engineer Software Development Large Language Models 114

Unite.AI

NOVEMBER 14, 2023

The era of manually crafting code is giving way to AI-driven systems, trained instead of programmed, signifying a fundamental change in software development. In areas like image generation diffusion model like Runway ML , DALL-E 3 , shows massive improvements. But as we step into this new AI wave, the landscape changes further.

Large Language Models 329

Large Language Models Software Engineer Computer Scientist ChatGPT 329

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. Don’t Forget to join our 40k+ ML SubReddit Want to get in front of 1.5 This is far faster than the 2.77-day

Artificial Intelligence 117

Artificial Intelligence Artificial Intelligence Automation Software Engineer 117

Marktechpost

MARCH 23, 2025

Software maintenance is an integral part of the software development lifecycle, where developers frequently revisit existing codebases to fix bugs, implement new features, and optimize performance. This process has gained significance with modern software projects’ increasing scale and complexity.

Large Language Models 89

Large Language Models Software Development Automation AI 89

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 114

Robotics Automation Machine Learning Software Engineer 114

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 104

Automation Software Engineer Software Development Large Language Models 104

Analytics Vidhya

FEBRUARY 6, 2023

Introduction MLOps (Machine Learning Operations) integrates machine learning (ML) workflows with software development and operations processes. It involves using tools and methodologies to automate and streamline the building, testing, deployment, and monitoring of ML models in production.

Data Scientist 143

Data Scientist Software Development Machine Learning ML 143

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 176

Software Engineer DevOps Machine Learning ML 176

IBM Journey to AI blog

FEBRUARY 6, 2024

This unified view gives administrators and development teams centralized control over their infrastructure and apps, making it possible to optimize cost, security, availability and resource utilization. Automation Automation tools are a significant feature of cloud-based infrastructure. What is a public cloud?

DevOps 299

DevOps Automation Big Data Software Development 299

Marktechpost

JUNE 10, 2024

GitLab offers AI features like code suggestions, vulnerability explanations, and DevSecOps automation, which streamline development processes. GitLab’s AI courses provide practical guidance on utilizing these features effectively, enabling developers to leverage AI for more efficient and secure software development.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Software Development Explainability 123

AWS Machine Learning Blog

JUNE 7, 2023

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. An ML model’s effectiveness depends on the quality and relevance of the data it’s trained on.

ML 76

ML Auto-complete Automation Categorization 76

O'Reilly Media

MARCH 25, 2025

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. Were also betting that this will be a time of software development flourishing.

LLM 69

LLM Software Development Prompt Engineer Prompt Engineering 69

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. Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. What is MLOps?

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

AWS Machine Learning Blog

MARCH 21, 2025

However, by using Anthropics Claude on Amazon Bedrock , researchers and engineers can now automate the indexing and tagging of these technical documents. JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows.

Metadata 109

Metadata Convolutional Neural Networks Generative AI Data Scientist 109

Towards AI

JANUARY 22, 2025

These are instead some of the skills that I would strongly master: Theoretical foundation: A strong grasp of concepts like exploratory data analysis (EDA), data preprocessing, and training/finetuning/testing practices, ML models remains essential. CI/CD practices: Yes, you need to be also decent at software development.

Data Scientist 105

Data Scientist Data Drift Data Science Data Analysis 105

Unite.AI

AUGUST 1, 2024

That's the distinction between AGI and more predictive AI and narrow forms of ML that came before it. Realistic Development Timelines on the Road to AGI Just like on a road trip, the top-of-mind question about AGI is, “Are we there yet?” ” He added, “Developers become more valuable when using these models.

Software Development 196

Software Development Software Engineer Automation Large Language Models 196

AWS Machine Learning Blog

OCTOBER 16, 2024

The company developed an automated solution called Call Quality (CQ) using AI services from Amazon Web Services (AWS). The call processing workflow uses custom machine learning (ML) models built by Intact that run on Amazon Fargate and Amazon Elastic Compute Cloud (Amazon EC2).

Machine Learning 76

Machine Learning Data Scientist Deep Learning ML 76

O'Reilly Media

MARCH 18, 2025

If you AIAWs want to make the most of AI, you’d do well to borrow some hard-learned lessons from the software development tech boom. And in return, software dev also needs to learn some lessons about AI. We’ve seen this movie before Earlier in my career I worked as a software developer.

Software Development 69

Software Development Python Data Scientist AI 69

AWS Machine Learning Blog

NOVEMBER 6, 2023

The good news is that automating and solving the summarization challenge is now possible through generative AI. Using LLMs to automate call summarization allows for customer conversations to be summarized accurately and in a fraction of the time needed for manual summarization.

Automation 122

Automation Generative AI LLM AI 122

Towards AI

MARCH 5, 2025

For many engineers who have spent years honing their craft in traditional software development, this sudden shift can feel disorienting. Its no longer just an academic field; its becoming a practical tool integrated into software development workflows. Software development will be automated!

Software Engineer 74

Software Engineer Software Development AI Tools AI 74