Flipboard

MARCH 21, 2025

This post highlights the transformative impact of large language models (LLMs). With the ability to encode human expertise and communicate in natural language, generative AI can help augment human capabilities and allow organizations to harness knowledge at scale. About the Authors Upendra V is a Sr.

Automation 164

Automation Large Language Models Generative AI DevOps 164

Marktechpost

APRIL 11, 2024

Regardless of a company’s niche, LLMs have enormous promise in areas such as data analysis, code writing, and creative text generation. The development of reliable LLM applications, however, has its challenges. Presently, there is a fragmented scope for LLM growth. Funding round YCombinator backs Keywords AI.

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Marktechpost

JULY 24, 2024

Large Language Models (LLMs) have become significantly popular in the recent times. However, evaluating LLMs on a wider range of tasks can be extremely difficult. Exams are created using this method by an LLM utilizing the corpus of data related to the current assignment.

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Large Language Models DevOps LLM Automation 107

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.

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DevOps Generative AI Automation Software Development 105

Flipboard

FEBRUARY 10, 2025

Unlike traditional systems, which rely on rule-based automation and structured data, agentic systems, powered by large language models (LLMs), can operate autonomously, learn from their environment, and make nuanced, context-aware decisions. DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek.

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Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.

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Large Language Models BERT Natural Language Processing Categorization 103

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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IBM Journey to AI blog

JANUARY 11, 2024

With a lean set of commands, it shouldn’t be a complicated language for newer developers to learn or understand. And there’s no reason why mainframe applications wouldn’t benefit from agile development and smaller, incremental releases within a DevOps-style automated pipeline. Transformation.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. To use this service, simply set up the environment via the AWS Cloud9 console.

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Large Language Models Generative AI LLM AI 111

AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. The use of multiple external cloud providers complicated DevOps, support, and budgeting.

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O'Reilly Media

FEBRUARY 25, 2025

Fast-forward 15 years to 2024, and generative AI tools like ChatGPT, Claude, and many others based on LLMs (large language models) are now really good at holding human-level conversations, especially about technical topics related to programming. under 100 lines), which is exactly the target use case for Python Tutor.

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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 114

LLM Generative AI AI AI 114

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. To get the best match documents or chunks, we use the retrieval/re-ranker approach based on bi-encoder and cross-encoder models.

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Large Language Models Machine Learning Generative AI ML 85

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

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.

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DevOps Data Analysis Large Language Models Generative AI 107

IBM Journey to AI blog

OCTOBER 25, 2023

Hybrid cloud allows them to take advantage of powerful open-source large language models (LLMs), use public data and computing resources to train their own models and securely fine-tune their models while keeping their proprietary insights private.

Generative AI 243

Generative AI Automation ESG AI 243

AWS Machine Learning Blog

MARCH 5, 2025

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. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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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

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.

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AWS Machine Learning Blog

MARCH 3, 2025

family, classified as a small language model (SLM) due to its small number of parameters. Compared to large language models (LLMs), SLMs are more efficient and cost-effective to train and deploy, excel when fine-tuned for specific tasks, offer faster inference times, and have lower resource requirements.

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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. Mistral 7B Instruct is developed by Mistral AI.

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Automation Auto-complete DevOps UX Design 122

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 144

DevOps Large Language Models Software Development Automation 144

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 85

ML Generative AI AI AI 85

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.

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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.

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Large Language Models Chatbots DevOps Natural Language Processing 117

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.

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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. We use Python to do this.

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Generative AI Metadata Python ML 114

TheSequence

DECEMBER 3, 2023

AWS also unveiled smaller, specialized models such as Titan TextLite, Titan TextExpress, and Titan Image Generator, which focus on summarization, text generation, and image generation, respectively. Additionally, AWS Q, an agent capable of performing various developer and devops operations, supports native integration with AWS services.

AI Strategy 110

AI Strategy Generative AI DevOps Data Quality 110

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

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. However, bringing such solutions and models to the business-as-usual operations is not an easy task. The LLM will review all model-generated responses and score them.

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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). However, unlike task-oriented bots, these bots use LLMs for text analysis and content generation.

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Heartbeat

MARCH 19, 2024

Introduction Large language models (LLMs) have emerged as a driving catalyst in natural language processing and comprehension evolution. LLM use cases range from chatbots and virtual assistants to content generation and translation services. What are Large Language Models?

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. These LLMs can generate human-like text, understand context, and perform various Natural Language Processing (NLP) tasks. Their mission?

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

Unite.AI

JUNE 24, 2024

Machine Learning Operations (MLOps) is a set of practices and principles that aim to unify the processes of developing, deploying, and maintaining machine learning models in production environments. Especially in the current time when large language models (LLMs) are making their way for several industry-based generative AI projects.

Data Drift 120

Data Drift Machine Learning Data Scientist ML 120

ODSC - Open Data Science

DECEMBER 1, 2023

You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning. 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

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

Python 112

Python Machine Learning Auto-classification ML 112

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

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