AWS Machine Learning Blog

MAY 30, 2024

Instead, Vitech opted for Retrieval Augmented Generation (RAG), in which the LLM can use vector embeddings to perform a semantic search and provide a more relevant answer to users when interacting with the chatbot. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

Chatbots 128

Chatbots Prompt Engineering Prompt Engineer Large Language Models 128

Marktechpost

JULY 25, 2024

Prompt Engineering with LLaMA-2 Difficulty Level: Beginner This course covers the prompt engineering techniques that enhance the capabilities of large language models (LLMs) like LLaMA-2. It includes over 20 hands-on projects to gain practical experience in LLMOps, such as deploying models, creating prompts, and building chatbots.

Large Language Models 111

Large Language Models Prompt Engineer Prompt Engineering Chatbots 111

AWS Machine Learning Blog

FEBRUARY 19, 2025

In this example, the ML engineering team is borrowing 5 GPUs for their training task With SageMaker HyperPod, you can additionally set up observability tools of your choice. metadata: name: job-name namespace: hyperpod-ns-researchers labels: kueue.x-k8s.io/queue-name: queue-name: hyperpod-ns-researchers-localqueue kueue.x-k8s.io/priority-class:

Data Scientist 74

Data Scientist Data Science ML Engineer Generative AI 74

AWS Machine Learning Blog

NOVEMBER 14, 2024

However, model governance functions in an organization are centralized and to perform those functions, teams need access to metadata about model lifecycle activities across those accounts for validation, approval, auditing, and monitoring to manage risk and compliance. An experiment collects multiple runs with the same objective.

ML 97

ML Machine Learning Auto-complete Auto-classification 97

AWS Machine Learning Blog

JUNE 8, 2023

Generative AI chatbots have gained notoriety for their ability to imitate human intellect. Finally, we use a QnABot to provide a user interface for our chatbot. This enables you to begin machine learning (ML) quickly. A session stores metadata and application-specific data known as session attributes.

Generative AI 92

Generative AI LLM Machine Learning Large Language Models 92

Marktechpost

JULY 19, 2023

A chatbot for taking notes, an editor for creating images from text, and a tool for summarising customer comments can all be made with a basic understanding of programming and a couple of hours. In the actual world, machine learning (ML) systems can embed issues like societal prejudices and safety worries.

Machine Learning 52

Machine Learning ML Python Metadata 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

After the completion of the research phase, the data scientists need to collaborate with ML engineers to create automations for building (ML pipelines) and deploying models into production using CI/CD pipelines. Main use cases are around human-like chatbots, summarization, or other content creation such as programming code.

Generative AI 126

Generative AI Prompt Engineering Prompt Engineer ML 126