AWS Machine Learning Blog

DECEMBER 23, 2024

Neel Kapadia is a Senior Software Engineer at AWS where he works on designing and building scalable AI/ML services using Large Language Models and Natural Language Processing. Anand Jumnani is a DevOps Consultant at Amazon Web Services based in United Kingdom.

DevOps 118

DevOps Natural Language Processing Software Engineer Large Language Models 118

IBM Journey to AI blog

JUNE 5, 2024

However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks. If, for instance, a development team wants to understand which app features most significantly impact retention, it might use AI-driven natural language processing (NLP) to analyze unstructured data.

DevOps 236

DevOps Automation ML Machine Learning 236

Unite.AI

JUNE 19, 2024

MLOps, or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments. ML Operations : Deploy and maintain ML models using established DevOps practices.

Software Engineer 182

Software Engineer DevOps Machine Learning ML 182

IBM Journey to AI blog

JUNE 26, 2023

By infusing artificial intelligence (AI) into IT operations , you can leverage the considerable power of natural language processing and machine learning models to automate and streamline operational workflows. To address this waste, consider implementing FinOps (Finance + DevOps). The benefits of AIOps are many.

DevOps 166

DevOps Automation Natural Language Processing Artificial Intelligence 166

AWS Machine Learning Blog

MARCH 21, 2025

Generate metadata Using natural language processing, you can generate metadata for the paper to aid in searchability. Renu has a strong passion for learning with her area of specialization in DevOps.

Metadata 117

Metadata Convolutional Neural Networks Generative AI Data Scientist 117

IBM Journey to AI blog

AUGUST 11, 2023

Because ML systems require significant resources and hands-on time from often disparate teams, problems arose from lack of collaboration and simple misunderstandings between data scientists and IT teams about how to build out the best process. MLOps, on the other hand, is specific to machine learning projects.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

AWS Machine Learning Blog

MARCH 10, 2025

The use of multiple external cloud providers complicated DevOps, support, and budgeting. Amazon Bedrock Guardrails implements content filtering and safety checks as part of the query processing pipeline. Anthropic Claude LLM performs the natural language processing, generating responses that are then returned to the web application.

DevOps 103

DevOps Metadata Auto-complete Automation 103

IBM Journey to AI blog

AUGUST 17, 2023

The platform enables the USTA to fine-tune its unique data and domain knowledge—drawing on match statistics, rankings and predictions—and combine it with natural language processing tools to generate accurate and compelling commentary.

DevOps 164

DevOps Natural Language Processing Large Language Models Automation 164

IBM Journey to AI blog

AUGUST 15, 2023

Recent AI developments are also helping businesses automate and optimize HR recruiting and professional development, DevOps and cloud management, and biotech research and manufacturing. Without proper governance and transparency, companies risk reputational damage, economic loss and regulatory violations.

Artificial Intelligence 234

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 234

IBM Journey to AI blog

SEPTEMBER 20, 2023

Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. Large language models (LLMs) have taken the field of AI by storm.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

ODSC - Open Data Science

JANUARY 9, 2024

Data Engineering for Large Language Models LLMs are artificial intelligence models that are trained on massive datasets of text and code. They are used for a variety of tasks, such as natural language processing, machine translation, and summarization.

DevOps 97

DevOps Data Science Algorithm Automation 97

Flipboard

FEBRUARY 10, 2025

He is currently focused on combining his background in software engineering, DevOps, and machine learning to help customers deliver machine learning workflows at scale. Bobby Lindsey is a Machine Learning Specialist at Amazon Web Services. Hes been in technology for over a decade, spanning various technologies and multiple roles.

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LLM AI AI Python 161

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

Large Language Models 104

Large Language Models BERT Natural Language Processing Categorization 104

AWS Machine Learning Blog

MARCH 18, 2024

He works on performance engineering for serving large language models efficiently on SageMaker. You can use pre-built NVIDIA containers to host popular LLMs that are optimized for specific NVIDIA GPUs for quick deployment or use NIM tools to create your own containers. In his spare time, he enjoys running, cycling and ski mountaineering.

LLM 129

LLM Deep Learning Machine Learning Large Language Models 129

Becoming Human

APRIL 19, 2024

Natural Language Processing (NLP) for Requirements: Generative AI is a useful technology for requirements analysis and collection since it can be used to interpret and comprehend natural language. This automated testing method improves software products’ overall reliability and quality.

Software Development 103

Software Development Generative AI DevOps Automation 103

AWS Machine Learning Blog

AUGUST 1, 2024

To address these challenges, insurers are increasingly turning to advanced technologies such as machine learning, natural language processing, and intelligent document processing solutions. He enjoys leveraging DevOps practices to architect and build reliable cloud infrastructure that helps solve customer problems.

Generative AI 126

Generative AI Natural Language Processing Machine Learning AI 126

IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

Unite.AI

JANUARY 25, 2024

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. Complementing this trend is the notable rise in popularity of related topics.

Prompt Engineer 182

Prompt Engineer Prompt Engineering NLP Generative AI 182

IBM Journey to AI blog

JULY 11, 2024

And with the advent of AI systems capable of natural language processing, businesses can gain deeper insights from unstructured data. Applied to big data , these advanced analytics can improve strategic planning, risk management and resource allocation.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Automation DevOps 122

AWS Machine Learning Blog

JULY 17, 2024

By fine-tuning on domain-specific data, businesses can enhance Cohere Command R’s accuracy, relevance, and effectiveness for their use cases, such as natural language processing, text generation, and question answering.

Large Language Models 127

Large Language Models Chatbots DevOps Natural Language Processing 127

Unite.AI

JANUARY 15, 2024

Leverages Natural Language Processing (NLP) to understand code and provide explanations, enhancing code comprehension. Generate code in 30+ languages! DevOps The DevOps tools CodePal simplify code deployment and streamline coding tasks. Signing up takes seconds, and the interface is easy to navigate.

Explainability 147

Explainability DevOps AI AI 147

AWS Machine Learning Blog

JANUARY 12, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. Overview of solution. The overriding goal for The Very Group’s engineering team was to prevent any PII data from reaching documents within Elasticsearch.

DevOps 130

DevOps Natural Language Processing Metadata Automation 130

Marktechpost

DECEMBER 4, 2023

Hugging Face is a community of over 5,000 businesses working together to solve problems in audio, vision, and language using artificial intelligence. Several machine learning models, including Flair, Asteroid, ESPnet, and Pyannote, are supported by their open-source natural language processing framework, Transformers.

AI Tools 134

AI Tools Auto-complete Artificial Intelligence Artificial Intelligence 134

IBM Journey to AI blog

JULY 11, 2024

And with the advent of AI systems capable of natural language processing, businesses can gain deeper insights from unstructured data. Applied to big data , these advanced analytics can improve strategic planning, risk management and resource allocation.

Artificial Intelligence 100

Artificial Intelligence Artificial Intelligence Automation DevOps 100

AWS Machine Learning Blog

MAY 31, 2024

The output shows the expected JSON file content, illustrating the model’s natural language processing (NLP) and code generation capabilities. His area of focus is AI for DevOps and machine learning. An example usage is provided at the bottom, writing a dictionary with name, age, and city keys to a file named data.json.

Python 122

Python Machine Learning Auto-classification ML 122

Chatbots Life

MAY 16, 2023

Services : Mobile app development, web development, blockchain technology implementation, 360′ design services, DevOps, OpenAI integrations, machine learning, and MLOps. Data Monsters can help companies deploy, train and test machine learning pipelines for natural language processing and computer vision.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

Marktechpost

MAY 3, 2024

Hugging Face is a community of over 5,000 businesses working together to solve problems in audio, vision, and language using artificial intelligence. Several machine learning models, including Flair, Asteroid, ESPnet, and Pyannote, are supported by their open-source natural language processing framework, Transformers.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 113

AWS Machine Learning Blog

OCTOBER 9, 2023

Sentiment analysis is a natural language processing (NLP) ready-to-use model that analyzes text for sentiments. His expertise spans application architecture, DevOps, serverless, and machine learning. Next, we explain how to review the trained model for performance.

Machine Learning 107

Machine Learning Categorization ML DevOps 107

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Shuyu Yang is Generative AI and Large Language Model Delivery Lead and also leads CoE (Center of Excellence) Accenture AI (AWS DevOps professional) teams. Shikhar Kwatra is an AI/ML specialist solutions architect at Amazon Web Services, working with a leading Global System Integrator.

Generative AI 126

Generative AI Artificial Intelligence Artificial Intelligence Large Language Models 126

AWS Machine Learning Blog

SEPTEMBER 1, 2023

They have deep end-to-end ML and natural language processing (NLP) expertise and data science skills, and massive data labeler and editor teams. Therefore, DevOps and AppDevs (application developers on the cloud) personas need to follow best development practices to implement the functionality of input/output and rating.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering ML 129

AWS Machine Learning Blog

MARCH 1, 2023

Solution overview Amazon Comprehend is a fully managed service that uses natural language processing (NLP) to extract insights about the content of documents. About the Authors Alberto Menendez is an Associate DevOps Consultant in Professional Services at AWS and a member of Comprehend Champions.

Data Ingestion 97

Data Ingestion DevOps ML Automation 97

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 Machine Learning DevOps Large Language Models 52

AWS Machine Learning Blog

FEBRUARY 16, 2023

Amazon Kendra is a highly accurate and intelligent search service that enables users to search for answers to their questions from your unstructured and structured data using natural language processing and advanced search algorithms. Today, Amazon Kendra launched seven additional data format support options for you to use.

DevOps 91

DevOps Natural Language Processing Software Development Algorithm 91

AWS Machine Learning Blog

AUGUST 16, 2023

Thomson Reuters Labs, the company’s dedicated innovation team, has been integral to its pioneering work in AI and natural language processing (NLP). A key milestone was the launch of Westlaw Is Natural (WIN) in 1992. This technology was one of the first of its kind, using NLP for more efficient and natural legal research.

Large Language Models 93

Large Language Models Machine Learning Generative AI ML 93

Marktechpost

JULY 5, 2024

These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. Udacity offers comprehensive courses on AI designed to equip learners with essential skills in artificial intelligence.

Data Science 62

Data Science Machine Learning Data Analysis Software Engineer 62

AWS Machine Learning Blog

SEPTEMBER 16, 2024

RAG is an approach that combines information retrieval techniques with natural language processing (NLP) to enhance the performance of text generation or language modeling tasks. This method involves retrieving relevant information from a large corpus of text data and using it to augment the generation process.

Deep Learning 120

Deep Learning Generative AI DevOps Machine Learning 120

AWS Machine Learning Blog

NOVEMBER 14, 2023

LLMs, like Llama2, have shown state-of-the-art performance on natural language processing (NLP) tasks when fine-tuned on domain-specific data. He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes.

ML 119

ML LLM Natural Language Processing Machine Learning 119