Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek.

LLM 160

LLM AI AI Python 160

O'Reilly Media

JANUARY 21, 2025

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. When an LLM doesnt do what you want, your main recourse is to change the input. LLM deployments in the enterprise.

Conversational AI 117

Conversational AI LLM Automation Software Engineer 117

Marktechpost

FEBRUARY 23, 2025

Recent studies have addressed this gap by introducing benchmarks that evaluate AI agents on various software engineering and machine learning tasks. This system, the first Gym environment for ML tasks, facilitates the study of RL techniques for training AI agents. Check out the Paper and GitHub Page.

AI Research 91

AI Research AI Researcher Software Engineer AI 91

Marktechpost

SEPTEMBER 11, 2024

Large Language Models (LLMs) have revolutionized software engineering, demonstrating remarkable capabilities in various coding tasks. While recent efforts have produced autonomous software agents based on LLMs for end-to-end development tasks, these systems are typically designed for specific Software Engineering (SE) tasks.

Software Engineer 111

Software Engineer Software Development Large Language Models LLM 111

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.

LLM 77

LLM AI AI Data Scientist 77

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 120

Artificial Intelligence Artificial Intelligence LLM Software Engineer 120

Marktechpost

FEBRUARY 28, 2024

In recent research, a team of researchers from Meta has presented TestGen-LLM, a unique tool that uses Large Language Models (LLMs) to improve pre-existing human-written test suites automatically. This verification procedure is crucial to solve issues with LLM hallucinations, where produced content may differ from the intended quality.

Large Language Models 128

Large Language Models LLM Automation Software Engineer 128

AWS Machine Learning Blog

NOVEMBER 26, 2024

However, LLMs such as Anthropic’s Claude 3 Sonnet on Amazon Bedrock can also perform these tasks using zero-shot prompting, which refers to a prompting technique to give a task to the model without providing specific examples or training for that specific task. You don’t have to tell the LLM where Sydney is or that the image is for rainfall.

Convolutional Neural Networks 95

Convolutional Neural Networks LLM Metadata Explainability 95

Marktechpost

MARCH 2, 2024

Tools like CodeXGLUE and datasets like HumanEval have been instrumental in benchmarking LLM capabilities in these domains. These platforms assess the functional correctness of code generated by LLMs and emphasize the importance of aligning LLMs with the specific needs of software engineering tasks.

Software Engineer 103

Software Engineer Large Language Models Software Development LLM 103

AWS Machine Learning Blog

OCTOBER 15, 2024

We’re excited to announce the release of SageMaker Core , a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. With SageMaker Core, managing ML workloads on SageMaker becomes simpler and more efficient. and above.

Python 79

Python Auto-complete LLM ML 79

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

Machine Learning 99

Machine Learning ML Data Scientist Robotics 99

Marktechpost

FEBRUARY 26, 2025

This has led to a growing need for more adaptive and context-aware systems that can learn from the complete evolution of software projects rather than isolated snapshots. Meta AI introduces SWE-RL: an AI approach designed to enhance the reasoning capabilities of large language models (LLMs) for real-world software engineering tasks.

Software Engineer 72

Software Engineer LLM Large Language Models Software Development 72

O'Reilly Media

MARCH 25, 2025

Lets be real: building LLM applications today feels like purgatory. The truth is, we’re in the earliest days of understanding how to build robust LLM applications. Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Leadership gets excited.

LLM 67

LLM Software Development Prompt Engineering Prompt Engineer 67

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 166

ML Python Machine Learning Algorithm 166

Unite.AI

MAY 8, 2024

The initial years were intense yet rewarding, propelling his growth to become an Engineering Team Lead. Driven by his aspiration to work with a tech giant, he joined Google in 2022 as a Senior Software Engineer, focusing on the Google Assistant team (later Google Bard). My interest in machine learning (ML) was a gradual process.

Machine Learning 292

Machine Learning Software Engineer Large Language Models Data Analysis 292

AWS Machine Learning Blog

OCTOBER 16, 2024

To evaluate the metadata quality, the team used reference-free LLM metrics, inspired by LangSmith. The secondary LLM is used to evaluate the summaries on a large scale. As the manager of the team, he guides ML and software engineers in building recommendation systems and generative AI solutions for the company.

Metadata 109

Metadata Automation Generative AI AI 109

AWS Machine Learning Blog

MARCH 25, 2025

Jagdeep has 15 years of experience in innovation, experience engineering, digital transformation, cloud architecture and ML applications. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. Rupinder Grewal is a Tech Lead Gen AI Specialist.

Generative AI 102

Generative AI AI AI Software Engineer 102

AWS Machine Learning Blog

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Model Variants The current DeepSeek model collection consists of the following models: DeepSeek-V3 An LLM that uses a Mixture-of-Experts (MoE) architecture.

LLM 81

LLM Machine Learning AI AI 81

ODSC - Open Data Science

APRIL 1, 2025

Building Multimodal AI Agents: Agentic RAG with Image, Text, and Audio Inputs Suman Debnath, Principal AI/ML Advocate at Amazon Web Services Discover the transformative potential of Multimodal Agentic RAG systems that integrate image, audio, and text to power intelligent, real-world applications.

Neural Network 52

Neural Network LLM Software Engineer AI 52

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 103

Software Development Software Engineer Large Language Models LLM 103

AWS Machine Learning Blog

NOVEMBER 12, 2024

Business question question = "Please provide a list of about 100 ETFs or ETNs names with exposure to US markets" # Generate a prompt to get the LLM to provide an SQL query SQL_SYS_PROMPT = PromptTemplate.from_template(tmp_sql_sys_prompt).format(

ESG 97

ESG Generative AI LLM Prompt Engineering 97

ODSC - Open Data Science

MARCH 31, 2025

Software Engineering Agents: What Works and WhatDoesnt Robert Brennan, CEO of All HandsAI This session dives into the software engineering side of agent designwhat architectures succeed, which ones fail, and why. Key ODSC East 2025 Sessions on AIAgents 1.

Software Engineer 52

Software Engineer AI AI Large Language Models 52

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 Large Language Models LLM 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. Million AI Audience?

Artificial Intelligence 117

Artificial Intelligence Artificial Intelligence Automation Software Engineer 117

Marktechpost

AUGUST 12, 2024

Complexity Beyond Code Generation : LLMs for coding are primarily trained for code generation, the most common use case in software engineering tasks. Thus, LLMs must possess knowledge beyond code generation to effectively modernize these systems. FPT Software AI Center has supported us in this content/article.

Large Language Models 111

Large Language Models LLM Software Engineer Software Development 111

Marktechpost

FEBRUARY 6, 2025

An LLM-based filtering process removes non-verifiable problems, such as those requiring proofs, and reformulates multiple-choice questions into direct-answer formats. 313,000 Open-Ended STEM Questions with LLM Evaluation : Using the StackExchange dataset, this subset covers a broad spectrum of technical and scientific topics.

Software Engineer 59

Software Engineer LLM Artificial Intelligence Artificial Intelligence 59

Unite.AI

AUGUST 1, 2024

That's the distinction between AGI and more predictive AI and narrow forms of ML that came before it. My perspective comes from experience, where I’ve witnessed a 10-fold personal productivity increase when using LLMs and AI developer tools. It feels like emergent behavior.

Software Development 196

Software Development Software Engineer Automation Large Language Models 196

Marktechpost

SEPTEMBER 30, 2023

A recent research paper has examined the necessity to carry out ubiquitous code edits across a complete code repository, which is a fundamental problem in software engineering. It creates a chain of modifications with multiple steps or a plan, where each step involves calling an LLM to update a particular section of code.

Large Language Models 131

Large Language Models Software Engineer Automation LLM 131

Marktechpost

MARCH 23, 2025

It offers a scalable, cost-efficient, and effective alternative to proprietary LLM solutions. Also,feel free to follow us on Twitter and dont forget to join our 85k+ ML SubReddit. The post Meet LocAgent: Graph-Based AI Agents Transforming Code Localization for Scalable Software Maintenance appeared first on MarkTechPost.

Large Language Models 89

Large Language Models Software Development Automation AI 89

AWS Machine Learning Blog

NOVEMBER 22, 2023

For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. From the earliest days, Amazon has used ML for various use cases such as book recommendations, search, and fraud detection. About the Authors Abhinandan Patni is a Senior Software Engineer at Amazon Search.

LLM 107

LLM Software Engineer Auto-complete Neural Network 107

AWS Machine Learning Blog

FEBRUARY 13, 2025

This approach can also lead to lower costs and improved latency compared to static agents because removing unnecessary tools, knowledge bases, and instructions reduces the number of input and output tokens being processed by the agents large language model (LLM). Mark holds six AWS certifications, including the ML Specialty Certification.

Metadata 86

Metadata Generative AI ML AI 86

ODSC - Open Data Science

MARCH 19, 2025

Senior leaders, engineers, and AI practitioners alike will gain practical takeaways to implement in their own organizationswithout getting lost in unnecessary complexity. AI, ChatGPT, and ML rely on believable data, yet much of todays data is unstable, unstructured, and unreliable.

Software Engineer 52

Software Engineer Software Development AI Engineer AI 52

Marktechpost

NOVEMBER 19, 2024

LLMs, like GPT-4 and Llama 3, have shown promise in handling such tasks due to their advanced language comprehension. Current LLM-based methods for anomaly detection include prompt engineering, which uses LLMs in zero/few-shot setups, and fine-tuning, which adapts models to specific datasets.

Large Language Models 79

Large Language Models BERT Prompt Engineering Prompt Engineer 79

Towards AI

FEBRUARY 4, 2025

Data Scientist Data Analyst Software Engineer Summary Generative AI Source: Microsoft Generative AI is currently a trending and highly-discussed topic. The Language Learning Model (LLM) model accepts inputs in natural language, and English is one of them. The LLM is crucial to GenAI. Agenda Generative AI 2 WHY? &

Data Scientist 95

Data Scientist LLM Software Engineer Generative AI 95

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 107

Large Language Models Data Scarcity Software Engineer LLM 107

Marktechpost

APRIL 26, 2024

Despite their sophistication, large language models (LLMs) trained on code have struggled to grasp the deeper, semantic aspects of program execution beyond the superficial textual representation of code. 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

AWS Machine Learning Blog

MARCH 13, 2025

In this first step, the AI model, in this case an LLM, is acting as an interpreter and user experience interface between your natural language input and the structured information needed by the travel planning system. Joshua Toth is a Senior Prototyping Engineer with over a decade of experience in software engineering and distributed systems.

AI 86

AI AI Automation LLM 86