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.

DevOps 106

DevOps Data Analysis Large Language Models Generative AI 106

Unite.AI

MARCH 7, 2025

Hawkeyes unique approach leverages the power of LLMs to guide incident analysis without ever sharing customer data with LLMs, ensuring a thoughtful and secure approach. It works alongside IT, DevOps, and SRE teams without requiring major infrastructure changes.

DevOps 162

DevOps Automation Data Analysis Generative AI 162

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. Using a Git-based SCM pulls these insight together seamlessly. The email is sent to subscribers.

DevOps 112

DevOps Generative AI Automation Software Development 112

Flipboard

FEBRUARY 10, 2025

DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. Simplified LLM hosting on SageMaker AI Before orchestrating agentic workflows with CrewAI powered by an LLM, the first step is to host and query an LLM using SageMaker real-time inference endpoints.

LLM 161

LLM AI AI Python 161

Flipboard

MARCH 21, 2025

The agent uses Anthropics Claude LLM available on Amazon Bedrock as one of the FMs to analyze incident details and retrieve relevant information from the knowledge base, a curated collection of runbooks and best practices. The following architecture diagram explains the overall flow of this solution. About the Authors Upendra V is a Sr.

Automation 164

Automation Large Language Models Generative AI DevOps 164

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.

LLM 52

LLM Large Language Models Neural Network DevOps 52

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.

Generative AI 307

Generative AI DevOps AI AI 307

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 97

DevOps Metadata Auto-complete Automation 97

O'Reilly Media

FEBRUARY 25, 2025

call stack and data structures), terminal text output, and question to an LLM, which will respond here with something like: Note how the LLM can see your current code and visualization, so it can explain to you whats going on here. written instructions) that direct LLMs to produce easily understandable responses.

Generative AI 84

Generative AI Python LLM AI 84

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.

LLM 121

LLM Generative AI AI AI 121

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.

Large Language Models 189

Large Language Models LLM Machine Learning Neural Network 189

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.

Generative AI 284

Generative AI Auto-complete DevOps Automation 284

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.

Large Language Models 107

Large Language Models DevOps LLM Automation 107

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

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.

Generative AI 77

Generative AI LLM AI AI 77

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. also includes access to the StarCoder LLM, trained on openly licensed data from GitHub. It can improve IT automation by building and executing runbooks and helping users transition to new knowledge bases and software.

Generative AI 243

Generative AI Automation ESG AI 243

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.

DevOps 88

DevOps Generative AI LLM Large Language Models 88

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. In this builders’ session, learn how to pre-train an LLM using Slurm on SageMaker HyperPod.

ML 92

ML Generative AI AI AI 92

AWS Machine Learning Blog

MAY 7, 2024

The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. In this post, we deploy the Mistral 7B Instruct, an LLM available in the Hugging Face Model Hub, to a SageMaker endpoint to perform the summarization tasks. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.

Automation 128

Automation Auto-complete DevOps UX Design 128

AWS Machine Learning Blog

MARCH 3, 2025

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. The observed differences in TTFT are solely attributed to network latency because identical FM inference configurations were employed in both the Local Zone and the parent Region.

Conversational AI 73

Conversational AI Deep Learning AI AI 73

AWS Machine Learning Blog

JUNE 25, 2024

For example, you can write a Logs Insights query to calculate the token usage of the various applications and users calling the large language model (LLM). Attributing LLM usage to specific users or applications. He focuses on monitoring and operationalizing cloud and LLM workloads in CloudWatch for AWS customers.

DevOps 118

DevOps Machine Learning LLM Software Engineer 118

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. Cedric Clyburn (@cedricclyburn), Senior Developer Advocate at Red Hat, is an enthusiastic software technologist with a background in Kubernetes, DevOps, and container tools.

Metadata 52

Metadata DevOps NLP Large Language Models 52

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.

Generative AI 121

Generative AI Metadata Python ML 121

AWS Machine Learning Blog

OCTOBER 22, 2024

Create a complete AI/ML pipeline for fine-tuning an LLM using drag-and-drop functionality. Llama fine-tuning pipeline overview In this post, we will show you how to set up an automated LLM customization (fine-tuning) workflow so that the Llama 3.x But fine-tuning an LLM just once isn’t enough.

Automation 84

Automation LLM DevOps Python 84

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. LLM-powered evaluation – In this scenario, the prompt testers are replaced by an LLM, ideally one that is more powerful (although perhaps slower and most costly) than the ones being tested.

Generative AI 125

Generative AI Prompt Engineer Prompt Engineering ML 125

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.

DevOps 147

DevOps Large Language Models Software Development Automation 147

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Using this context, modified prompt is constructed required for the LLM model. A request is posted to the Amazon Bedrock Claude-2 model to get the response from the LLM model selected. The data is post-processed from the LLM response and a response is sent to the user.

Generative AI 121

Generative AI Artificial Intelligence Artificial Intelligence Large Language Models 121

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.

Large Language Models 117

Large Language Models Generative AI LLM AI 117

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.

Data Drift 124

Data Drift Machine Learning Data Scientist ML 124

TheSequence

DECEMBER 3, 2023

Additionally, AWS Q, an agent capable of performing various developer and devops operations, supports native integration with AWS services. Inflection-2 Inflection unveiled the initial results of the training of Inflection-2, its next generation LLM. An area that caught my attention was the enhanced support for RAG and agents.

AI Strategy 110

AI Strategy Generative AI DevOps Data Quality 110

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.

Large Language Models 123

Large Language Models Chatbots DevOps Natural Language Processing 123

AWS Machine Learning Blog

JUNE 8, 2023

We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. This mechanism allows an LLM to recall previous interactions to keep the conversation’s context and pace. We also use LangChain, a popular framework that simplifies LLM-powered applications.

Generative AI 88

Generative AI LLM Machine Learning Large Language Models 88

AWS Machine Learning Blog

MAY 31, 2024

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 Falcon 2 11B text generation To deploy using the SDK, we start by selecting the Falcon 2 11B model, specified by the model_id with value huggingface-llm-falcon2-11b.

Python 118

Python Machine Learning Auto-classification ML 118

AWS Machine Learning Blog

AUGUST 16, 2023

In this post, we discuss how Thomson Reuters Labs created Open Arena, Thomson Reuters’s enterprise-wide large language model (LLM) playground that was developed in collaboration with AWS. The retrieved best match is then passed as an input to the LLM along with the query to generate the best response.

Large Language Models 90

Large Language Models Machine Learning Generative AI ML 90

AWS Machine Learning Blog

NOVEMBER 14, 2023

Working with FMs on SageMaker Model Registry In this post, we walk through an end-to-end example of fine-tuning the Llama2 large language model (LLM) using the QLoRA method. Fine-tuning adapts an LLM to a downstream task using a smaller dataset. Training LLMs can be a slow, expensive, and iterative process.

ML 113

ML LLM Natural Language Processing Machine Learning 113

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.

LLM 52

LLM Machine Learning Deep Learning Data Scientist 52

AWS Machine Learning Blog

FEBRUARY 2, 2024

Overview of RAG The RAG pattern lets you retrieve knowledge from external sources, such as PDF documents, wiki articles, or call transcripts, and then use that knowledge to augment the instruction prompt sent to the LLM. This allows the LLM to reference more relevant information when generating a response.

ETL 115

ETL DevOps LLM Generative AI 115