IBM Journey to AI blog

APRIL 18, 2024

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

Neural Network 226

Neural Network LLM AI AI 226

ODSC - Open Data Science

JULY 19, 2023

A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team. For the customer, this helps them reduce the time it takes to bootstrap a new data science project and get it to production.

Machine Learning 52

Machine Learning Data Drift Data Science ML Engineer 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker Canvas SageMaker Canvas enables business analysts and data science teams to build and use ML and generative AI models without having to write a single line of code. Einstein Studio is a gateway to AI tools on Salesforce Data Cloud.

ML 69

ML Data Scientist AI Modeling Natural Language Processing 69

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

FEBRUARY 13, 2023

In addition, we are also responsible for the Experimentation Platforms at Comcast and the products, the data platforms that kind of underlie all these AI and machine-learning applications, as well as our product analytics platforms that make it easier to train, develop, and manage models.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Snorkel AI

FEBRUARY 13, 2023

In addition, we are also responsible for the Experimentation Platforms at Comcast and the products, the data platforms that kind of underlie all these AI and machine-learning applications, as well as our product analytics platforms that make it easier to train, develop, and manage models.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Snorkel AI

JULY 19, 2023

The RedPajama project aims to create a set of leading, fully open-source models (LLMs) for natural language processing, including not just open model weights, but also open training data. Learn more See what Snorkel can do to accelerate your data science and machine learning teams. Book a demo today.

Categorization 40

Categorization ChatGPT Large Language Models Generative AI 40

Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. It provided a platform for big data processing and machine learning, simplifying the process of building and deploying data pipelines.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

The MLOps Blog

MARCH 21, 2023

By storing all model-training-related artifacts, your data scientists will be able to run experiments and update models iteratively. Versioning Your data science team will benefit from using good MLOps practices to keep track of versioning, particularly when conducting experiments during the development stage.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69