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DevOps Generative AI LLM 
IBM Journey to AI blog
JANUARY 11, 2024
And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. There are similar issues in trusting a chatbot AI to code a business application. Transformation.
307 
O'Reilly Media
FEBRUARY 25, 2025
Hi, I am a professor of cognitive science and design at UC San Diego, and I recently wrote posts on Radar about my experiences coding with and speaking to generative AI tools like ChatGPT. When you click Send, the AI tutor will send your code, current visualization state (e.g., Yes and no.
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How to Achieve High-Accuracy Results When Using LLMs
Maximizing Profit and Productivity: The New Era of AI-Powered Accounting
Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact
Automation, Evolved: Your New Playbook For Smarter Knowledge Work
Unite.AI
FEBRUARY 6, 2025
The exponential rise of generative AI has brought new challenges for enterprises looking to deploy machine learning models at scale. Governance, data privacy, and infrastructure costs have become critical roadblocks, often delaying AI implementation.
176 
Marktechpost
NOVEMBER 23, 2024
Google Gemini is a generative AI-powered collaborator from Google Cloud designed to enhance various tasks such as code explanation, infrastructure management, data analysis, and application development. Its features include text generation, error detection, security configuration, and resource management.
106 
MARCH 21, 2025
Using generative AI for IT operations offers a transformative solution that helps automate incident detection, diagnosis, and remediation, enhancing operational efficiency. AI for IT operations (AIOps) is the application of AI and machine learning (ML) technologies to automate and enhance IT operations.
163 
Unite.AI
MARCH 7, 2025
Goutham (Gou) Rao is the CEO and co-founder of NeuBird , the creators of Hawkeye, the worlds first generative AI-powered ITOps engineer, designed to help IT teams diagnose and resolve technical issues instantly, enabling seamless collaboration between human teams and AI.
157 
AWS Machine Learning Blog
NOVEMBER 19, 2024
This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.
85 
IBM Journey to AI blog
OCTOBER 25, 2023
Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.
243 
FEBRUARY 10, 2025
DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. Generative AI on SageMaker AI SageMaker AI, a fully managed service, provides a comprehensive suite of tools designed to deliver high-performance, cost-efficient machine learning (ML) and generative AI solutions for diverse use cases.
160 
AWS Machine Learning Blog
MARCH 27, 2024
Although much of the focus around analysis of DevOps is on distributed and cloud technologies, the mainframe still maintains a unique and powerful position, and it can use the DORA 4 metrics to further its reputation as the engine of commerce. Pass the generative AI prompt to Amazon Bedrock (using Anthropic’s Claude2 model on Amazon Bedrock).
105 
AWS Machine Learning Blog
MARCH 5, 2025
Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.
IBM Journey to AI blog
NOVEMBER 24, 2023
Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on. Let us explore the Generative AI possibilities across these lifecycle areas.
284 
AWS Machine Learning Blog
MARCH 10, 2025
The use of multiple external cloud providers complicated DevOps, support, and budgeting. It became apparent that a cost-effective solution for our generative AI needs was required. Response performance and latency The success of generative AI-based applications depends on the response quality and speed.
90 
AWS Machine Learning Blog
SEPTEMBER 1, 2023
Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).
120 
AWS Machine Learning Blog
DECEMBER 5, 2023
New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.
114 
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. We use Python to do this.
114 
AWS Machine Learning Blog
SEPTEMBER 28, 2023
In either case, as knowledge management becomes more complex, generative AI presents a game-changing opportunity for enterprises to connect people to the information they need to perform and innovate. To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist.
114 
Unite.AI
OCTOBER 16, 2023
This is where LLMOps steps in, embodying a set of best practices, tools, and processes to ensure the reliable, secure, and efficient operation of LLMs. Custom LLM Training : Developing a LLM from scratch promises an unparalleled accuracy tailored to the task at hand.
TheSequence
DECEMBER 3, 2023
📝 Editorial: AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s The AWS re:Invent conference has long been regarded as the premier event of the year for cloud computing. For years, Amazon was perceived as lagging behind cloud computing rivals Microsoft and Google in generative AI.
110 
AWS Machine Learning Blog
NOVEMBER 7, 2023
Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG).
Marktechpost
JUNE 25, 2024
Google Gemini is a generative AI-powered collaborator from Google Cloud designed to enhance various tasks such as code explanation, infrastructure management, data analysis, and application development. Its features include text generation, error detection, security configuration, and resource management.
107 
AWS Machine Learning Blog
OCTOBER 23, 2024
To address the challenges of personalized learning and teacher workload, Classworks introduces Wittly by Classworks , an AI-powered learning assistant built on Amazon Bedrock , a fully managed service that makes it straightforward to build generative AI applications. a state-of-the-art large language model (LLM).
84 
Chatbots Life
MAY 16, 2023
Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business.
AWS Machine Learning Blog
MAY 7, 2024
The recording is transcribed to text using Amazon Transcribe and then processed using Amazon SageMaker Hugging Face containers to generate the meeting summary. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. Mistral 7B Instruct is developed by Mistral AI.
122 
AWS Machine Learning Blog
JUNE 8, 2023
However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.
AWS Machine Learning Blog
MARCH 3, 2025
Recent advances in generative AI have led to the proliferation of new generation of conversational AI assistants powered by foundation models (FMs). Prior to AWS, he worked as a DevOps architect in the e-commerce industry for over 5 years, following a decade of R&D work in mobile internet technologies.
AWS Machine Learning Blog
JUNE 25, 2024
As customers look to operationalize these new generative AI applications, they also need prescriptive, out-of-the-box ways to monitor the health and performance of these applications. Attributing LLM usage to specific users or applications. About the authors Peter Geng is a Senior Product Manager with Amazon CloudWatch.
112 
ODSC - Open Data Science
MARCH 31, 2025
Improved Training Data : Rich metadata allows for better contextualization of extracted knowledge when creating datasets for LLM training. With deep expertise in high-performance computing and machine learning operations, he has successfully architected and deployed AI platforms that scale across global organizations.
52 
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. Create a complete AI/ML pipeline for fine-tuning an LLM using drag-and-drop functionality. But fine-tuning an LLM just once isn’t enough.
79 
AWS Machine Learning Blog
MAY 31, 2024
What is the Falcon 2 11B model Falcon 2 11B is the first FM released by TII under their new artificial intelligence (AI) model series Falcon 2. It’s a next generation model in the Falcon family—a more efficient and accessible large language model (LLM) that is trained on a 5.5 Armando Diaz is a Solutions Architect at AWS.
112 
AWS Machine Learning Blog
JULY 17, 2024
This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. Cohere Command R is a scalable, frontier LLM designed to handle enterprise-grade workloads with ease.
AWS Machine Learning Blog
AUGUST 16, 2023
The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and once again advance how they do their work, helping professionals draw insights and automate workflows, enabling them to focus their time where it matters most.
AWS Machine Learning Blog
JULY 18, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
110 Unite.AI
JUNE 24, 2024
It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. Especially in the current time when large language models (LLMs) are making their way for several industry-based generative AI projects.
120 
AWS Machine Learning Blog
NOVEMBER 14, 2023
In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. One of the hottest areas in AI right now is generative AI, and for good reason. Source: Generative AI on AWS (O’Reilly, 2023) LoRA has gained popularity recently for several reasons.
106 
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.
52 
AWS Machine Learning Blog
JULY 25, 2024
Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that interact with external knowledge sources and tools. The following figure illustrates the evaluation workflow. Bobby Lindsey is a Machine Learning Specialist at Amazon Web Services.
AWS Machine Learning Blog
FEBRUARY 2, 2024
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting).
108 
AWS Machine Learning Blog
OCTOBER 21, 2024
Many organizations are building generative AI applications powered by large language models (LLMs) to boost productivity and build differentiated experiences. These LLMs are large and complex and deploying them requires powerful computing resources and results in high inference costs.
AWS Machine Learning Blog
OCTOBER 8, 2024
In this post, we present a solution that harnesses the power of generative AI to streamline the user onboarding process for financial services through a digital assistant. Our solution provides practical guidance on addressing this challenge by using a generative AI assistant on AWS.
103 
TheSequence
AUGUST 6, 2023
CoreWeave already has many of the marquee AI platforms in the market on board. 🔎 ML Research LLM Attacks Researchers from Carnegie Mellon University published a paper that proposes an attack method for LLMs. 📡AI Radar CoreWeave secured an astonishing $2.3 They've expertly ridden the GPU wave.
52 
Snorkel AI
JULY 24, 2023
Generative AI is at peak hype and poised to dive into the “trough of despair,” according to the 2023 Gartner® Hype Cycle for Artificial Intelligence , while data labeling and annotation services are entering the “plateau of productivity.” The level of excitement Gartner® identified for generative AI mirrors our own findings.
Snorkel AI
JULY 24, 2023
Generative AI is at peak hype and poised to dive into the “trough of despair,” according to the 2023 Gartner® Hype Cycle for Artificial Intelligence , while data labeling and annotation services are entering the “plateau of productivity.” The level of excitement Gartner® identified for generative AI mirrors our own findings.
Snorkel AI
JULY 24, 2023
Generative AI is at peak hype and poised to dive into the “trough of despair,” according to the 2023 Gartner® Hype Cycle for Artificial Intelligence , while data labeling and annotation services are entering the “plateau of productivity.” The level of excitement Gartner® identified for generative AI mirrors our own findings.
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