AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. FMEval helps in measuring evaluation dimensions such as accuracy, robustness, bias, toxicity, and factual knowledge for any LLM.

Large Language Models 122

Large Language Models Algorithm LLM Responsible AI 122

Towards AI

SEPTEMBER 22, 2023

As an AI practitioner, how do you feel about the recent AI developments? Besides your excitement for its new power, have you wondered how you can hold your position in the rapidly moving AI stream? However, with the advent of LLM, everything has changed. Is this the future of the ML engineer?

Prompt Engineer 59

Prompt Engineer Prompt Engineering ML Engineer LLM 59

Chatbots Life

MAY 16, 2023

as a certified partner for delivering end-to-end Conversational AI professional services leveraging LivePerson’s Conversational Cloud. Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision.

Generative AI 98

Generative AI Chatbots Conversational AI Software Development 98

Heartbeat

OCTOBER 5, 2023

To minimize project lifecycle friction and bridge the gap between developers and operations teams. Deploying LLM Agents: Integrating LLMs seamlessly into applications or systems for real-time interactions. LLM Observability: Monitor and analyze LLM behavior and performance to ensure they meet desired criteria.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

Bugra Akyildiz

MAY 14, 2023

A function can be expressed as either: an LLM AI prompt — also called a "semantic" function native computer code -- also called a "native" function When using native computer code, it's also possible to invoke an LLM AI prompt — which means that there can be functions that are hybrid LLM AI × native code as well.

Auto-classification 52

Auto-classification LLM ML Python 52

AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices.

ML 136

ML Generative AI AI AI 136

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

Generative AI 140

Generative AI LLM ML AI 140

AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons.

ML 132

ML Python Data Scientist Deep Learning 132

TheSequence

NOVEMBER 5, 2023

Stability AI Releases Stability AI unveiled a series of new additions to its platform in areas such as image transformation, 3D and fine-tuning —> Read more. 🛠 Real World ML LLM Architectures at GitHub GitHub ML engineers discuss the architecture of LLMs apps —> Read more.

ML 52

ML Chatbots ML Engineer Big Data 52