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. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.

Computer Vision 208

Computer Vision Automation Robotics AI 208

The MLOps Blog

APRIL 5, 2023

What is model packaging in machine learning? What is model packaging in machine learning? Source Model packaging is a process that involves packaging model artifacts, dependencies, configuration files, and metadata into a single format for effortless distribution, installation, and reuse.

ML 69

ML Machine Learning Deep Learning Metadata 69

The MLOps Blog

MARCH 21, 2023

To make that possible, your data scientists would need to store enough details about the environment the model was created in and the related metadata so that the model could be recreated with the same or similar outcomes. Collaboration The principles you have learned in this guide are mostly born out of DevOps principles.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

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.

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Generative AI Prompt Engineer Prompt Engineering AI 97

AWS Machine Learning Blog

JUNE 8, 2023

LLMs are based on the Transformer architecture , a deep learning neural network introduced in June 2017 that can be trained on a massive corpus of unlabeled text. This enables you to begin machine learning (ML) quickly. It includes the FLAN-T5-XL model , an LLM deployed into a deep learning container.

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Generative AI LLM Large Language Models Machine Learning 71

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. James’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise.

LLM 84

LLM ML Natural Language Processing Machine Learning 84

The MLOps Blog

OCTOBER 3, 2023

I switched from analytics to data science, then to machine learning, then to data engineering, then to MLOps. For me, it was a little bit of a longer journey because I kind of had data engineering and cloud engineering and DevOps engineering in between. There’s no component that stores metadata about this feature store?

ML 52

ML Data Scientist Machine Learning Data Science 52