IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

IBM Journey to AI blog

AUGUST 11, 2023

The paper suggested creating a systematic “MLOps” process that incorporated CI/CD methodology commonly used in DevOps to essentially create an assembly line for each step. MLOps aims to streamline the time and resources it takes to run data science models using automation, ML and iterative improvements on each model version.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

IBM Journey to AI blog

MARCH 28, 2024

Serverless simplifies development and supports DevOps practices by allowing developers to spend less time defining the infrastructure required to integrate, test, deliver and deploy code builds into production. Generative AI Today, companies are beginning to leverage generative AI capabilities across cloud settings, including private cloud.

DevOps 298

DevOps Automation Generative AI Artificial Intelligence 298

Unite.AI

NOVEMBER 17, 2023

Additionally, AI can benchmark an app's security features against established industry standards and best practices. For example, if an app's encryption protocols are outdated, AI can suggest the necessary upgrades. AI recommends safer libraries, DevOps methods, and a lot more.

Artificial Intelligence 293

Artificial Intelligence Artificial Intelligence DevOps Automation 293

AWS Machine Learning Blog

MARCH 21, 2025

In this post, we explore how you can use these multi-modal generative AI models to streamline the management of technical documents. Multi-modal generative AI models work well with text extraction from image files, so we start by converting the PDF to a collection of images, one for each page. samples/2003.10304/page_2.png"

Metadata 109

Metadata Convolutional Neural Networks Generative AI Data Scientist 109

IBM Journey to AI blog

JUNE 8, 2023

So how do businesses that want to incorporate AI move forward when there is such a high level of difficulty? He then selected Krista’s AI-powered intelligent automation platform to optimize Zimperium’s project management suite, messaging solutions, development and operations (DevOps).

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DevOps Automation Machine Learning NLP 214

Unite.AI

OCTOBER 4, 2023

Instead, it predicts ‘most likely’ results based on statistical modeling, and it sometimes creates responses that aren’t accurate. The challenge that every user of generative AI faces is managing the training and ‘guardrails’ in the deployment of generative AI models to minimize the hallucinations, or the likelihood that it will hallucinate.

Generative AI 274

Generative AI DevOps Machine Learning Automation 274

Pickl AI

APRIL 1, 2025

Collaborating with DevOps Teams and Software Developers Cloud Engineers work closely with developers to create, test, and improve applications. Understand DevOps and CI/CD Cloud Engineers often work closely with DevOps teams to ensure smooth deployments. Understanding DevOps concepts will give you an edge in the field.

DevOps 52

DevOps Data Science Automation Big Data 52

Marktechpost

JUNE 25, 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.

DevOps 107

DevOps Data Analysis Large Language Models Generative AI 107

Artificial Corner

MARCH 6, 2025

AI models can generate code from natural language and even fix bugs—but does that mean the end of the coding profession? Microsoft CEO Satya Nadella believes that "AI won't replace programmers, but it will become an essential tool in their arsenal. In the 1980s, it was code generation from specifications.

Software Engineer 82

Software Engineer AI AI DevOps 82

Flipboard

NOVEMBER 24, 2023

Moreover, the JuMa infrastructure, which is based on AWS serverless and managed services, helps reduce operational overhead for DevOps teams and allows them to focus on enabling use cases and accelerating AI innovation at BMW Group. This results in faster experimentation and shorter idea validation cycles.

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ML DevOps Data Scientist ML Engineer 153

IBM Journey to AI blog

OCTOBER 25, 2023

It can also aid in platform engineering, for example by generating DevOps pipelines and middleware automation scripts. Here, we’ll prioritize discussion of four workflows to which generative AI can be applied. Thus, it’s wise for CTOs to factor sustainability into their generative AI adoption calculus.

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Generative AI Automation ESG AI 243

Flipboard

FEBRUARY 10, 2025

SageMaker AI empowers you to build, train, deploy, monitor, and govern ML and generative AI models through an extensive range of services, including notebooks, jobs, hosting, experiment tracking, a curated model hub, and MLOps features, all within a unified integrated development environment (IDE).

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LLM AI AI Python 161

Becoming Human

APRIL 19, 2024

It expedites the development process and enables non-programmers to make better contributions to software production through the use of the best AI tools for coding. Automated Testing: By automating the creation of test cases, generative AI can expedite the software development process’ testing phase.

Software Development 103

Software Development Generative AI DevOps Automation 103

AWS Machine Learning Blog

MARCH 18, 2025

About NVIDIA NIM on AWS NVIDIA NIM microservices integrate closely with AWS managed services such as Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Kubernetes Service (Amazon EKS), and Amazon SageMaker to enable the deployment of generative AI models at scale.

Generative AI 86

Generative AI DevOps AI Modeling AI 86

Towards AI

AUGUST 16, 2023

Pietro Jeng on Unsplash MLOps is a set of methods and techniques to deploy and maintain machine learning (ML) models in production reliably and efficiently. Thus, MLOps is the intersection of Machine Learning, DevOps, and Data Engineering (Figure 1). Background Saying that MLOps is in a state of flux would be an understatement [7].

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Machine Learning DevOps Software Development ML 98

AWS Machine Learning Blog

AUGUST 22, 2024

Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.

Generative AI 115

Generative AI Metadata Python ML 115

AWS Machine Learning Blog

OCTOBER 23, 2024

Amazon Bedrock serves as the cornerstone of Wittly’s AI capabilities, offering several key advantages: Single API access – Simplifies integration with Anthropic’s Claude foundation models (FMs), allowing for straightforward updates and potential expansion to other models in the future.

DevOps 85

DevOps Generative AI LLM Large Language Models 85

Unite.AI

SEPTEMBER 4, 2024

The Claude Enterprise Plan is an advanced offering that allows organizations to securely integrate AI capabilities into their workflows using internal knowledge. This plan is built on the foundation of Claude, Anthropic's sophisticated AI model, but with enhanced features tailored for enterprise use.

DevOps 144

DevOps Large Language Models Automation Software Development 144

IBM Journey to AI blog

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

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Computer Vision NLP Robotics Automation 247

IBM Journey to AI blog

JULY 11, 2024

For example, a mining company used AI-driven solutions to predict maintenance needs, reducing production downtime by up to 30%.    Quality control By training on historical data, AI models can quickly identify unusual patterns and outliers that might signal quality control issues.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Automation DevOps 122

Unite.AI

JANUARY 25, 2024

Prompt engineering revolves around the art and science of crafting effective prompts to elicit desired responses from AI models, especially large language models like GPT. This surge in interest underscores the growing recognition of the nuanced skill required to interact efficiently with advanced AI systems.

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Prompt Engineer Prompt Engineering NLP Generative AI 176

AWS Machine Learning Blog

AUGUST 1, 2024

How generative AI and Amazon Bedrock help solve these challenges One of the key advantages of generative AI is its ability to understand and interpret context within documents. Amazon Bedrock simplifies the deployment, scaling, implementation, and management of generative AI models for insurers.

Generative AI 118

Generative AI Natural Language Processing Machine Learning AI 118

Marktechpost

DECEMBER 4, 2023

AssemblyAI Regarding artificial intelligence models for speech transcription and understanding, AssemblyAI is the gold standard platform. Their simple API gives you access to state-of-the-art AI models that can summarize speeches and identify their speakers.

AI Tools 133

AI Tools Auto-complete Artificial Intelligence Artificial Intelligence 133

AWS Machine Learning Blog

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization.

ML 86

ML Generative AI AI AI 86

Marktechpost

MAY 3, 2024

AssemblyAI Regarding artificial intelligence models for speech transcription and understanding, AssemblyAI is the gold standard platform. Their simple API gives you access to state-of-the-art AI models that can summarize speeches and identify their speakers.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 111

ODSC - Open Data Science

DECEMBER 1, 2023

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

Data Science 52

Data Science DevOps Machine Learning Large Language Models 52

AWS Machine Learning Blog

FEBRUARY 1, 2024

She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. The following are some considerations when using RAG: Setting appropriate timeouts is important to the customer experience.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering AI 129

IBM Journey to AI blog

JULY 11, 2024

For example, a mining company used AI-driven solutions to predict maintenance needs, reducing production downtime by up to 30%.    Quality control By training on historical data, AI models can quickly identify unusual patterns and outliers that might signal quality control issues.

Artificial Intelligence 100

Artificial Intelligence Artificial Intelligence Automation DevOps 100

AWS Machine Learning Blog

JULY 18, 2024

These advanced generative AI models are great at understanding and analyzing vast amounts of text, making them the perfect tool for sifting through the flood of CVE reports to pinpoint those containing attack requirement details. Outside of work, you’ll find Hemmy enjoying sports and traveling with family.

Generative AI 111

Generative AI Automation Categorization Software Architect 111

AWS Machine Learning Blog

OCTOBER 9, 2023

You can use models to make predictions interactively and for batch scoring on bulk datasets. SageMaker Canvas offers fully-managed ready-to-use AI model and custom model solutions. For common ML use cases, you can use a ready-to-use AI model to generate predictions with your data without any model training.

Machine Learning 95

Machine Learning Categorization ML DevOps 95

ODSC - Open Data Science

SEPTEMBER 11, 2024

Benefits of OpenShift Containerized AI Workloads OpenShift excels at managing containerized applications which is a critical aspect of AI workloads that require isolated and efficient environments. By containerizing AI models and related services, OpenShift ensures that your AI applications are portable, scalable, and easy to deploy.

ML 40

ML DevOps Data Science Machine Learning 40

AWS Machine Learning Blog

SEPTEMBER 1, 2023

However, in generative AI, the nature of the use cases requires either an extension of those capabilities or new capabilities. One of these new notions is the foundation model (FM). They are called as such because they can be used to create a wide range of other AI models, as illustrated in the following figure.

Generative AI 121

Generative AI Prompt Engineer Prompt Engineering ML 121

AWS Machine Learning Blog

OCTOBER 22, 2024

You can now create an end-to-end workflow to train, fine tune, evaluate, register, and deploy generative AI models with the visual designer for Amazon SageMaker Pipelines. SageMaker Pipelines is a serverless workflow orchestration service purpose-built for foundation model operations (FMOps).

Automation 79

Automation LLM DevOps Python 79

Marktechpost

JULY 14, 2023

The development of Large Language Models (LLMs) can be termed as one of the major reasons for the sudden growth in the amount of recognition and popularity generative AI is receiving. LLMs are AI models that are designed to process natural language and generate human-like responses.

Generative AI 52

Generative AI AI Development AI Developer DevOps 52

Chatbots Life

MAY 16, 2023

Master of Code proposes to create a Proof of Concept (POC) within 2 weeks after the request to explore the advantages of using a Generative AI chatbot in your company. Services : Mobile app development, web development, blockchain technology implementation, 360′ design services, DevOps, OpenAI integrations, machine learning, and MLOps.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

Marktechpost

JULY 5, 2024

It covers advanced topics, including scikit-learn for machine learning, statistical modeling, software engineering practices, and data engineering with ETL and NLP pipelines. Machine Learning DevOps Engineer This course teaches software engineering fundamentals for deploying and automating machine learning models in production environments.

Data Science 60

Data Science Machine Learning Data Analysis Software Engineer 60