Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. The following diagram from Role-Play with Large Language Models illustrates this flow. Moran Beladev is a Senior ML Manager at Booking.com.

LLM 76

LLM ML Natural Language Processing Machine Learning 76

AWS Machine Learning Blog

MARCH 13, 2024

By orchestrating toxicity classification with large language models (LLMs) using generative AI, we offer a solution that balances simplicity, latency, cost, and flexibility to satisfy various requirements. Latency and cost are also critical factors that must be taken into account.

Natural Language Processing 127

Natural Language Processing LLM Prompt Engineer Prompt Engineering 127

Chatbots Life

MAY 16, 2023

Deeper Insights has six years of experience in building AI solutions for large enterprise and scale-up clients, a suite of AI models, and data visualization dashboards that enable them to quickly analyze and share insights. Elite Service Delivery partner of NVIDIA.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

Allen AI

NOVEMBER 8, 2023

Patrick Beukema is the Lead ML Engineer for Skylight Patrick Beukema is the Lead ML Engineer for Skylight. Later this month, we will be adding a third real-time satellite computer vision service for vessel detection using the Sentinel-2 optical imagery from the European Space Agency.

Computer Vision 52

Computer Vision ML Engineer ML Neural Network 52

The MLOps Blog

NOVEMBER 14, 2023

While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The large language model GPT-4 that OpenAI released in the spring of 2023 is rumored to have nearly 2 trillion parameters.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Snorkel AI

MAY 4, 2023

In the era of large language models (LLMs), your data is the difference maker. Large Language Models (LLMs) such as GPT-4 and LLaMA have revolutionized natural language processing and understanding, enabling a wide range of applications, from conversational AI to advanced text generation.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

In the era of large language models (LLMs), your data is the difference maker. Large Language Models (LLMs) such as GPT-4 and LLaMA have revolutionized natural language processing and understanding, enabling a wide range of applications, from conversational AI to advanced text generation.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

Solution overview In the following sections, we share how you can develop an example ML project with Code Editor on Amazon SageMaker Studio. We will deploy a Mistral-7B large language model (LLM) model into an Amazon SageMaker real-time endpoint using a built-in container from HuggingFace.

Machine Learning 121

Machine Learning ML LLM Python 121

Snorkel AI

JUNE 9, 2023

Snorkel Co-Founder and CEO Alex Ratner kicked off the day’s events by giving attendees a peek into Snorkel’s new Foundation Model Data Platform, which includes solutions to develop and adapt large language models and foundation models. This approach, Zhang said, yields several advantages.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel Co-Founder and CEO Alex Ratner kicked off the day’s events by giving attendees a peek into Snorkel’s new Foundation Model Data Platform, which includes solutions to develop and adapt large language models and foundation models. This approach, Zhang said, yields several advantages.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

AWS Machine Learning Blog

SEPTEMBER 25, 2024

models in Amazon SageMaker JumpStart. offers multi-modal vision and lightweight models representing Meta’s latest advancement in large language models (LLMs), providing enhanced capabilities and broader applicability across various use cases. models today. On the endpoint details page, choose Delete.

Software Engineer 123

Software Engineer Software Development ML Python 123

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. 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.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

Large Language Models 52

Large Language Models Deep Learning Data Science LLM 52

AWS Machine Learning Blog

OCTOBER 2, 2024

About the Authors Akarsha Sehwag is a Data Scientist and ML Engineer in AWS Professional Services with over 5 years of experience building ML based services and products. Leveraging her expertise in Computer Vision and Deep Learning, she empowers customers to harness the power of the ML in AWS cloud efficiently.

Generative AI 115

Generative AI Data Ingestion AI AI 115

The MLOps Blog

JUNE 27, 2023

Auto-annotation tools such as Meta’s Segment Anything Model and other AI-assisted labeling techniques. MLOps workflows for computer vision and ML teams Use-case-centric annotations. LangChain LangChain is an open-source framework for building applications that use large language models (LLMs).

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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. About the Authors Lauren Mullennex is a Senior AI/ML Specialist Solutions Architect at AWS.

Automation 81

Automation LLM DevOps Python 81

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. In this session, Snorkel AI ML Engineer Ashwini Ramamoorthy explores how data-centric AI can be leveraged to simplify and streamline this process.

Data Scientist 64

Data Scientist ML Computer Vision AI 64

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. In this session, Snorkel AI ML Engineer Ashwini Ramamoorthy explores how data-centric AI can be leveraged to simplify and streamline this process.

Data Scientist 59

Data Scientist ML Computer Vision AI 59

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. In this session, Snorkel AI ML Engineer Ashwini Ramamoorthy explores how data-centric AI can be leveraged to simplify and streamline this process.

Data Scientist 52

Data Scientist NLP ML Computer Vision 52

AWS Machine Learning Blog

JUNE 13, 2023

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. SupportGPT leverages state-of-the-art Information Retrieval (IR) systems and large language models (LLMs) to power over 30 million customer interactions annually.

Generative AI 75

Generative AI Auto-complete AI Modeling Machine Learning 75

Snorkel AI

JULY 5, 2023

RC : I have had ML engineers tell me, “You didn’t need to do feature selection anymore, and that you could just throw everything at the model and it will figure out what to keep and what to throw away.” What are some of the challenges of applying large language models in production use cases?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

RC : I have had ML engineers tell me, “You didn’t need to do feature selection anymore, and that you could just throw everything at the model and it will figure out what to keep and what to throw away.” What are some of the challenges of applying large language models in production use cases?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

RC : I have had ML engineers tell me, “You didn’t need to do feature selection anymore, and that you could just throw everything at the model and it will figure out what to keep and what to throw away.” What are some of the challenges of applying large language models in production use cases?

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

BAIR

MARCH 11, 2024

Their work at BAIR, ranging from deep learning, robotics, and natural language processing to computer vision, security, and much more, has contributed significantly to their fields and has had transformative impacts on society. Currently, I am working on Large Language Model (LLM) based autonomous agents.

Robotics 337

Robotics Natural Language Processing Machine Learning Deep Learning 337

BAIR

MARCH 11, 2024

Their work at BAIR, ranging from deep learning, robotics, and natural language processing to computer vision, security, and much more, has contributed significantly to their fields and has had transformative impacts on society. Currently, I am working on Large Language Model (LLM) based autonomous agents.

Robotics 100

Robotics Machine Learning Natural Language Processing Deep Learning 100

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

AWS Machine Learning Blog

JULY 23, 2024

collection of multilingual large language models (LLMs), which includes pre-trained and instruction tuned generative AI models in 8B, 70B, and 405B sizes, is available through Amazon SageMaker JumpStart to deploy for inference. With SageMaker JumpStart, you can deploy models in a secure environment.

Machine Learning 118

Machine Learning Computer Vision Python ML 118