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. Here’s where the magic of an LLM tuned on enterprise COBOL-to-Java conversion can make a difference. Transformation.

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AWS Machine Learning Blog

MARCH 10, 2025

The use of multiple external cloud providers complicated DevOps, support, and budgeting. With this LLM, CreditAI was now able to respond better to broader, industry-wide queries than before. Anthropic Claude LLM performs the natural language processing, generating responses that are then returned to the web application.

DevOps 90

DevOps Metadata Auto-complete Automation 90

Bugra Akyildiz

JANUARY 25, 2025

Articles Apple has published a blog post on ReDrafter into NVIDIA's TensorRT-LLM framework, which makes the LLM much more efficient for inference use case. tokens per step, ReDrafter significantly reduces the number of forward passes through the main LLM, leading to faster overall generation.

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LLM Large Language Models Neural Network DevOps 52

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.

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Generative AI Auto-complete DevOps Automation 284

IBM Journey to AI blog

OCTOBER 25, 2023

But simultaneously, generative AI has the power to transform the process of application modernization through code reverse engineering, code generation, code conversion from one language to another, defining modernization workflow and other automated processes. Much more can be said about IT operations as a foundation of modernization.

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Generative AI Automation ESG AI 243

AWS Machine Learning Blog

MAY 7, 2024

The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. For all languages that are supported by Amazon Transcribe, you can find FMs from Hugging Face supporting summarization in corresponding languages The following diagram depicts the automated meeting summarization workflow.

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Automation Auto-complete DevOps UX Design 122

O'Reilly Media

FEBRUARY 25, 2025

You can move the slider forward and backward to see how this code runs step-by-step: AI Chat for Python Tutors Code Visualizer Way back in 2009 when I was a grad student, I envisioned creating Python Tutor to be an automated tutor that could help students with programming questions (which is why I chose that project name).

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Marktechpost

JULY 24, 2024

However, evaluating LLMs on a wider range of tasks can be extremely difficult. Public standards do not always accurately reflect an LLM’s general skills, especially when it comes to performing highly specialized client tasks that call for domain-specific knowledge. The team has shared their primary contributions as follows.

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Large Language Models DevOps LLM Automation 107

AWS Machine Learning Blog

OCTOBER 22, 2024

It accelerates your generative AI journey from prototype to production because you don’t need to learn about specialized workflow frameworks to automate model development or notebook execution at scale. Create a complete AI/ML pipeline for fine-tuning an LLM using drag-and-drop functionality.

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Automation LLM DevOps Python 79

AWS Machine Learning Blog

OCTOBER 8, 2024

Sonnet on Amazon Bedrock, we build a digital assistant that automates document processing, identity verifications, and engages customers through conversational interactions. As a result, customers can be onboarded in a matter of minutes through secure, automated workflows. Using Anthropic’s Claude 3.5

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Automation Prompt Engineer Prompt Engineering Machine Learning 103

AWS Machine Learning Blog

MARCH 5, 2025

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Its important to note that LLM-generated ground truth isnt a substitute for use case SME involvement. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

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Generative AI LLM AI AI 75

AWS Machine Learning Blog

NOVEMBER 19, 2024

These sessions, featuring Amazon Q Business , Amazon Q Developer , Amazon Q in QuickSight , and Amazon Q Connect , span the AI/ML, DevOps and Developer Productivity, Analytics, and Business Applications topics. Attendees will learn practical applications of generative AI for streamlining and automating document-centric workflows.

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ML Generative AI AI AI 85

AWS Machine Learning Blog

OCTOBER 23, 2024

a state-of-the-art large language model (LLM). Anthropic’s Claude LLM is trained on a dataset of anonymous data, not data from the Classworks platform, providing complete student privacy. Roy Gunter , DevOps Engineer at Curriculum Advantage, manages cloud infrastructure and automation for Classworks.

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DevOps Generative AI LLM Large Language Models 84

Unite.AI

SEPTEMBER 4, 2024

Anthropic has just announced its new Claude Enterprise Plan, marking a significant development in the large language model (LLM) space and offering businesses a powerful AI collaboration tool designed with security and scalability in mind. Product managers can upload specifications and work with Claude to build interactive prototypes.

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DevOps Large Language Models Automation Software Development 144

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps. All the produced models and code automation are stored in a centralized tooling account using the capability of a model registry. The following figure illustrates the topics we discuss.

Generative AI 120

Generative AI Prompt Engineer Prompt Engineering ML 120

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. As the adoption of machine learning in various industries continues to grow, the demand for robust MLOps tools has also increased.

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Data Drift Machine Learning Data Scientist ML 120

AWS Machine Learning Blog

AUGUST 22, 2024

As you move from pilot and test phases to deploying generative AI models at scale, you will need to apply DevOps practices to ML workloads. The solution has three main steps: Write Python code to preprocess, train, and test an LLM in Amazon Bedrock. Add @step decorated functions to convert the Python code to a SageMaker pipeline.

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Generative AI Metadata Python ML 114

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). We have provided this demo in the GitHub repo.

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Large Language Models Generative AI LLM AI 111

AWS Machine Learning Blog

JULY 25, 2024

Although existing large language model (LLM) benchmarks like MT-bench evaluate model capabilities, they lack the ability to validate the application layers. Setting up proper test cases and automating the evaluation process can be difficult due to the conversational and dynamic nature of agent interactions.

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Conversational AI Machine Learning AI AI 123

AWS Machine Learning Blog

JULY 18, 2024

By using the power of large language models (LLMs), Mend.io streamlined the analysis of over 70,000 vulnerabilities, automating a process that would have been nearly impossible to accomplish manually. One promising avenue is the use of generative AI for automating vulnerability categorization and prioritization.

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Generative AI Automation Categorization Software Architect 110

Marktechpost

JULY 4, 2023

Applications of LLMs The chart below summarises the present state of the Large Language Model (LLM) landscape in terms of features, products, and supporting software. Regex generation Regular expression generation is time-consuming for developers; however, Autoregex.xyz leverages GPT-3 to automate the process.

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Large Language Models BERT Natural Language Processing Categorization 103

ODSC - Open Data Science

DECEMBER 1, 2023

Over the course of 3+ hours, you’ll learn How to take your machine learning model from experimentation to production How to automate your machine learning workflows by using GitHub Actions. First you’ll delve into the history of NLP, with a focus on how Transformer architecture contributed to the creation of large language models (LLMs).

Data Science 52

Data Science DevOps Machine Learning Large Language Models 52

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.

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Large Language Models Machine Learning Generative AI ML 85

Heartbeat

JULY 31, 2023

Comet can serve an LLM (Large Language Model) project from pre-training to post-deployment by providing a comprehensive suite of tools and features that help users with every stage of the project and simplifying the process of developing and deploying LLMs. Using Comet saves time and reduces the risk of human error.

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LLM Machine Learning Deep Learning Data Scientist 52

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

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Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

NOVEMBER 14, 2023

Many of these foundation models have shown remarkable capability in understanding and generating human-like text, making them a valuable tool for a variety of applications, from content creation to customer support automation. Fine-tuning adapts an LLM to a downstream task using a smaller dataset.

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ML LLM Natural Language Processing Machine Learning 106

Heartbeat

OCTOBER 5, 2023

MLOps, often seen as a subset of DevOps (Development Operations), focuses on streamlining the development and deployment of machine learning models. Where is LLMOps in DevOps and MLOps In MLOps, engineers are dedicated to enhancing the efficiency and impact of ML model deployment.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 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. The LLM Ecosystem The impact of LLMs extends beyond mere code generation.

Software Engineer 52

Software Engineer Software Development Large Language Models LLM 52

Chatbots Life

MAY 16, 2023

Services : Mobile app development, web development, blockchain technology implementation, 360′ design services, DevOps, OpenAI integrations, machine learning, and MLOps. 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.

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Generative AI Chatbots Conversational AI Software Development 92

ODSC - Open Data Science

OCTOBER 9, 2024

By automating repetitive tasks and generating boilerplate code, these tools free up time for engineers to focus on more complex, creative aspects of software development. Well, it is offering a way to automate the time-consuming process of writing and running tests. Just keep in mind, that this shouldn’t replace the human element.

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

TheSequence

AUGUST 6, 2023

🔎 ML Research LLM Attacks Researchers from Carnegie Mellon University published a paper that proposes an attack method for LLMs. Specifically, the technique uses a suffix across a large number of queries that causes the LLMs to produce more affirmative responses —> Read more. million series A.

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DevOps Generative AI ML OpenAI 52

AWS Machine Learning Blog

JULY 16, 2024

The NVIDIA NeMo Framework provides a comprehensive set of tools, scripts, and recipes to support each stage of the LLM journey, from data preparation to training and deployment. This operator simplifies the process of running distributed training jobs by automating the deployment and scaling of the necessary components.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

However, harnessing this potential while ensuring the responsible and effective use of these models hinges on the critical process of LLM evaluation. An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Who needs to perform LLM evaluation?

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LLM Data Scientist Algorithm Generative AI 99

Unite.AI

DECEMBER 10, 2024

This funding milestone, which brings the companys total funding to $14 million, coincides with the launch of its flagship tool, Experiments an industry-first solution designed to make large language model (LLM) testing more accessible, collaborative, and efficient across organizations. Gentrace makes LLM evaluation a collaborative process.

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Generative AI Auto-complete LLM DevOps 144

ODSC - Open Data Science

JANUARY 9, 2024

As LLMs become more powerful and as more organizations move toward domain-specific LLMs, the demand for data engineers who can build and maintain the infrastructure to support these models will increase. The growth of complexity will bring greater demand for the talent that can handle the infrastructure needs of LLM use.

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DevOps Data Science Algorithm Automation 97

Mlearning.ai

JUNE 16, 2023

Game changer ChatGPT in Software Engineering: A Glimpse Into the Future | HackerNoon Generative AI for DevOps: A Practical View - DZone ChatGPT for DevOps: Best Practices, Use Cases, and Warnings. The article has good points with any LLM Use prompt to guide.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

The MLOps Blog

JUNE 5, 2023

I’ve seen tools that help you write and author pull requests more efficiently, and that help automate building documentation. Monitoring LLMs efficiently in production Stephen : Usually, when we talk about the ML platform or MLOps these are like tightening neat up close different components. So along those lines exactly.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52