AI News

NOVEMBER 4, 2024

Enhanced model support for Copilot GitHub Copilot has long leveraged different large language models (LLMs) for various use cases. Advancements in GitHub’s AI capabilities mark a step forward in the evolution of development tools.

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AWS Machine Learning Blog

JANUARY 7, 2025

Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate.

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Analytics Vidhya

APRIL 21, 2024

The ability to change a simple English question into a complex code opens up a number of possibilities in developer productivity and a quick software development lifecycle.

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ODSC - Open Data Science

DECEMBER 27, 2024

In the rapidly evolving landscape of artificial intelligence, few topics generate as much excitementand apprehensionas AI agents for software development. His open-source project, OpenHands , aims to empower developers by automating tedious tasks, enhancing productivity, and reimagining the role of the software engineer.

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Flipboard

MARCH 5, 2025

With the rise of AI tools like ChatGPT , it's now possible for someone to describe a program in English and have the AI model translate it into working code without ever understanding how the code works. Former OpenAI researcher Andrej Karpathy recently gave this practice a name"vibe coding"and it's gaining traction in tech circles.

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Marktechpost

NOVEMBER 16, 2024

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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Marktechpost

FEBRUARY 26, 2024

The advent of code-generating Large Language Models (LLMs) has marked a significant leap forward. These models, capable of understanding and generating code, are revolutionizing how developers approach coding tasks. Accurately assessing these models’ capabilities remains a challenge.

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O'Reilly Media

SEPTEMBER 12, 2023

That statement nicely summarizes what makes software development difficult. It’s not just memorizing the syntactic details of some programming language, or the many functions in some API, but understanding and managing the complexity of the problem you’re trying to solve. Controlling complexity is.” It certainly does.

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NVIDIA

APRIL 2, 2025

The early stages of enterprise AI adoption focused on using large language models to create chatbots. Jacob Liberman, director of product management at NVIDIA, joined the NVIDIA AI Podcast to explain how agentic AI bridges the gap between powerful AI models and practical enterprise applications.

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Flipboard

MARCH 7, 2025

Other reportedly planned agents include a "high-income knowledge worker" assistant at $2,000 monthly and a software developer agent at $10,000 monthly. OpenAI has not yet confirmed these prices, but they have mentioned PhD-level AI capabilities before. So what exactly constitutes "PhD-level AI"?

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Unite.AI

MARCH 9, 2025

The impact of this expansion is most evident in Large Language Models (LLMs) like GPT-4, Gemini, and DeepSeek, which require massive processing capabilities to analyze and interpret enormous datasets, driving the next wave of AI-driven computation. However, Tesla is not alone in this race.

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AWS Machine Learning Blog

JUNE 11, 2024

Amazon Q Developer is an AI-powered assistant for software development that reimagines the experience across the entire software development lifecycle, making it faster to build, secure, manage, and optimize applications on or off of AWS. You can accept the plan or ask the agent to iterate on it.

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IBM Journey to AI blog

SEPTEMBER 17, 2024

It’s also revolutionizing the software development lifecycle (SDLC). And The evolution of the SDLC landscape The software development lifecycle has undergone several silent revolutions in recent decades. We are thrilled to see the impact our solution can have on transforming the software development landscape.

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Analytics Vidhya

MAY 9, 2024

Introduction In the dynamic world of software development, efficiency and accuracy are of utmost importance. Advanced tools that enhance these aspects can significantly transform how developers build and maintain software.

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Marktechpost

MAY 10, 2024

Language models (LMs) have gained traction as aids in software engineering, where users act as intermediaries between LMs and computers, refining LM-generated code based on computer feedback. Recent advancements depict LMs functioning autonomously in computer environments, potentially expediting software development.

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Marktechpost

MARCH 7, 2024

The advent of Large Language Models for Code (Code LLMs) has significantly transformed the software development landscape, offering unprecedented capabilities in code generation, bug fixes, and even the automation of routine coding tasks.

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AI News

SEPTEMBER 8, 2023

OutSystems may be best known for its low-code development platform expertise. But the company has steadily been moving to a specialism in AI-assisted software development – and the parallels between the two are evident. We see the same patterns of people being sceptical of AI in software development,” explains Carneiro.

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Towards AI

NOVEMBER 14, 2024

From Beginner to Advanced LLM Developer Why should you learn to become an LLM Developer? Large language models (LLMs) and generative AI are not a novelty — they are a true breakthrough that will grow to impact much of the economy. Author(s): Towards AI Editorial Team Originally published on Towards AI.

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Analytics Vidhya

APRIL 29, 2024

Introduction Artificial intelligence (AI) is rapidly transforming the field of software development. Devin AI, created by Cognition Labs has created waves by being the world’s first AI software developer.

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Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. This comprehensive guide will explore all aspects of TensorRT-LLM, from its architecture and key features to practical examples for deploying models.

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Unite.AI

APRIL 18, 2024

From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception. However, the advent of AI-powered software engineers like SWE-Agent has the potential to disrupt this age-old paradigm.

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Unite.AI

JUNE 12, 2024

Leading the Future of Software Testing Founded in 2023 by serial entrepreneurs Tal Barmeir and Guy Arieli, BlinqIO is headquartered in Delaware. Using Large Language Models (LLMs), BlinqIO's AI test engineer understands requirements, creates automation code, and supports over 50 languages.

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Marktechpost

MAY 9, 2024

IBM has made a great advancement in the field of software development by releasing a set of open-source Granite code models designed to make coding easier for people everywhere. Even seasoned engineers frequently struggle to keep learning new things, adjust to new languages, and solve challenging problems.

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Marktechpost

MARCH 9, 2024

In recent research, a team of researchers has introduced SynCode, a versatile and efficient approach for generating syntactically accurate code across various programming languages. SynCode works with a variety of Large Language Model (LLM) decoding algorithms, including beam search, sampling, and greedy.

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Unite.AI

JULY 8, 2024

The quest for efficiency and speed remains vital in software development. As artificial intelligence continues to advance, its ability to generate highly optimized code not only promises greater efficiency but also challenges traditional software development methods.

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AI Weekly

MARCH 28, 2024

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. theguardian.com Amazon invests an additional $2.75 billion (€2.55

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Unite.AI

MARCH 26, 2025

Pro , calling it its most intelligent AI model to date. This latest large language model, developed by the Google DeepMind team, is described as a thinking model designed to tackle complex problems by reasoning through steps internally before responding. Pro can act as a project multiplier for developers.

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NVIDIA

DECEMBER 24, 2024

Editors note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users.

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Unite.AI

APRIL 25, 2024

The introduction of graphical user interfaces (GUIs) like Windows and MacOS has made modern operating systems more user-friendly and interactive, while also expanding the OS ecosystem with runtime libraries and a comprehensive suite of developer tools. Let's dive in.

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IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. This can lead to more robust and reliable software, as well as faster development cycles.

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Marktechpost

AUGUST 12, 2024

The advent of Large Language Models (LLMs) offers a potential solution to this enduring problem. This work underscores XMainframe’s potential to drive significant advancements in managing and modernizing legacy systems, ultimately enhancing productivity and saving time for software developers.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Machine learning relies on large language models to perform high-level natural language processing (NLP) like text classification, sentiment analysis and machine translation, and Kubernetes helps speed the deploy of large language models automate the NLP process.

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Flipboard

FEBRUARY 25, 2025

Our mission, at a high level, is to bring autonomy to software engineering, says Factory CEO Matan Grinberg, who founded the company with CTO Eno Reyes. Software developers of the future will be delegating away some tasks, he says. Factory aims to go beyond the code-autocomplete features offered by tools such as GitHub Copilot.

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Marktechpost

NOVEMBER 23, 2024

Google Gemini AI Course for Beginners This beginner’s course provides an in-depth introduction to Google’s AI model and the Gemini API, covering AI basics, Large Language Models (LLMs), and obtaining an API key. It’s ideal for those looking to build AI chatbots or explore LLM potentials.

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Unite.AI

SEPTEMBER 11, 2023

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Code-Review Mechanisms for MetaGPT Code review is a critical component in the software development life cycle, yet it is absent in several popular frameworks.

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AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models.

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Marktechpost

NOVEMBER 20, 2024

Automated software engineering (ASE) has emerged as a transformative field, integrating artificial intelligence with software development processes to tackle debugging, feature enhancement, and maintenance challenges. While effective in generating function-level solutions, models like GPT-4 and Claude 3.5

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