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. With text to speech and NLP, AI can respond immediately to texted queries and instructions. Humanize HR AI can attract, develop and retain a skills-first workforce.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

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

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

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.

LLM 161

LLM AI AI Python 161

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. This spike in NLP underscores its central role in the development and application of generative AI technologies.

Prompt Engineering 182

Prompt Engineering Prompt Engineer NLP Generative AI 182

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

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

Unite.AI

JANUARY 15, 2024

Verdict CodePal stands out with its wide range of coding tools, NLP-driven code understanding, and multi-language support. Leverages Natural Language Processing (NLP) to understand code and provide explanations, enhancing code comprehension. Generate code in 30+ languages! Let's take a look.

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

Explosion

JUNE 18, 2021

We’ve been running Explosion for about five years now, which has given us a lot of insights into what Natural Language Processing looks like in industry contexts. In this blog post, I’m going to discuss some of the biggest challenges for applied NLP and translating business problems into machine learning solutions.

NLP 52

NLP Machine Learning Natural Language Processing DevOps 52

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Online reporting The online reporting process consists of the following steps: End-users interact with the chatbot via a CloudFront CDN front-end layer. Each request/response interaction is facilitated by the AWS SDK and sends network traffic to Amazon Lex (the NLP component of the bot).

Generative AI 126

Generative AI Artificial Intelligence Artificial Intelligence Large Language Models 126

Chatbots Life

MAY 16, 2023

Services : Mobile app development, web development, blockchain technology implementation, 360′ design services, DevOps, OpenAI integrations, machine learning, and MLOps. Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

Marktechpost

DECEMBER 4, 2023

Includes many different types of artificial intelligence, such as image recognition, text analysis, and NLP. Hugging Face is a community of over 5,000 businesses working together to solve problems in audio, vision, and language using artificial intelligence. You should write less code and construct more.

AI Tools 134

AI Tools Auto-complete Artificial Intelligence Artificial Intelligence 134

Marktechpost

MAY 3, 2024

Includes many different types of artificial intelligence, such as image recognition, text analysis, and NLP. Hugging Face is a community of over 5,000 businesses working together to solve problems in audio, vision, and language using artificial intelligence. You should write less code and construct more.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 113

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. He’s an avid fan of the Dallas Mavericks and enjoys collecting sneakers. Avan Bala is a Solutions Architect at AWS.

Python 122

Python Machine Learning Auto-classification ML 122

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

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

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

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. Outside of his professional life, he enjoys working on cars and photography.

Large Language Models 93

Large Language Models Machine Learning Generative AI ML 93

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

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

AWS Machine Learning Blog

AUGUST 29, 2024

Eliuth Triana is a Developer Relations Manager at NVIDIA empowering Amazon’s AI MLOps, DevOps, Scientists and AWS technical experts to master the NVIDIA computing stack for accelerating and optimizing Generative AI Foundation models spanning from data curation, GPU training, model inference and production deployment on AWS GPU instances.

Generative AI 88

Generative AI Machine Learning Deep Learning AI 88

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

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

APRIL 27, 2023

Solution overview With the onset of large language models, the field has seen tremendous progress on various natural language processing (NLP) benchmarks. He works on Machine Learning and Natural Language Processing, and he was affiliated with the Machine Learning for Language (ML2) research group.

Machine Learning 83

Machine Learning Large Language Models Categorization Natural Language Processing 83

AWS Machine Learning Blog

FEBRUARY 2, 2024

Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. She is currently focusing on combining her DevOps and ML background into the domain of MLOps to help customers deliver and manage ML workloads at scale.

ETL 121

ETL DevOps LLM Generative AI 121

AWS Machine Learning Blog

SEPTEMBER 23, 2024

She has a decade of experience in DevOps, infrastructure, and ML. He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. Shibin Michaelraj is a Sr.

ML 88

ML Computer Vision Data Scientist Machine Learning 88

AWS Machine Learning Blog

FEBRUARY 28, 2023

Use natural language processing (NLP) in Amazon HealthLake to extract non-sensitive data from unstructured blobs. We can see that Amazon HeathLake NLP interprets this as containing the condition “stroke” by querying for the condition record that has the same patient ID and displays “stroke.” code, code.coding[1].display

ML 92

ML Machine Learning Categorization NLP 92

AWS Machine Learning Blog

NOVEMBER 7, 2023

Utilizing natural language processing (NLP), Amazon Kendra comprehends both the content of documents and the underlying intent of user queries, positioning it as a content retrieval tool for RAG based solutions. Stay updated, remain curious, and always be ready to adapt and innovate.

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Large Language Models Generative AI LLM AI 121

Heartbeat

MARCH 19, 2024

Introduction Large language models (LLMs) have emerged as a driving catalyst in natural language processing and comprehension evolution. As the need for more powerful language models grows, so does the need for effective scaling techniques. Similarly, Google utilizes LLMOps for its next-generation LLM, PaLM 2.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Natural Language Processing 52

Mlearning.ai

MAY 3, 2023

The built APP provides an easy web interface to access the large language models with several built-in application utilities for direct use, significantly lowering the barrier for the practitioners to use the LLM’s Natural Language Processing (NLP) capabilities in an amateur way focusing on their specific use cases.

Large Language Models 52

Large Language Models Python Auto-complete 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.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

AWS Machine Learning Blog

JUNE 8, 2023

It performs well on various natural language processing (NLP) tasks, including text generation. Solutions Architect at Amazon Web Services with specialization in DevOps and Observability. This enables you to begin machine learning (ML) quickly. Mahesh Birardar is a Sr.

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Generative AI LLM Machine Learning Large Language Models 91

The MLOps Blog

APRIL 5, 2023

These teams may include but are not limited to data scientists, software developers, machine learning engineers, and DevOps engineers. However, this collaborative process can often pose challenges regarding model packaging. This involves breaking the model down into smaller, more manageable components.

ML 69

ML Machine Learning Deep Learning Metadata 69

ODSC - Open Data Science

JULY 19, 2023

The repository also features architecture specifically designed for Computer Vision (CV) and Natural Language Processing (NLP) use cases. So, we’ve created quick deploy examples with Azure DevOps (ADO), GitHub, and Microsoft Learn to help you get your ideas tested in no time.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

Viso.ai

SEPTEMBER 2, 2024

Image annotation AI / Data Annotation Job Aside from the image annotation – there is data annotation related to AI and machine learning applications, e.g. in natural language processing (NLP), or retail. Knowledge of frontend language JavaScript and at least one of the languages like C#, Ruby, and PHP.

Computer Vision 52

Computer Vision Software Engineer Convolutional Neural Networks Neural Network 52