AWS Machine Learning Blog

AUGUST 22, 2024

As you move from pilot and test phases to deploying generative AI models at scale, you will need to apply DevOps practices to ML workloads. The solution has three main steps: Write Python code to preprocess, train, and test an LLM in Amazon Bedrock. We use Python to do this.

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Generative AI Metadata Python ML 122

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps. MLOps engineers are responsible for providing a secure environment for data scientists and ML engineers to productionize the ML use cases.

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Generative AI Prompt Engineering Prompt Engineer ML 125

AWS Machine Learning Blog

OCTOBER 22, 2024

Data scientists and machine learning (ML) engineers use pipelines for tasks such as continuous fine-tuning of large language models (LLMs) and scheduled notebook job workflows. Create a complete AI/ML pipeline for fine-tuning an LLM using drag-and-drop functionality. But fine-tuning an LLM just once isn’t enough.

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Automation LLM DevOps Python 84

AWS Machine Learning Blog

JUNE 8, 2023

We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. This mechanism allows an LLM to recall previous interactions to keep the conversation’s context and pace. We also use LangChain, a popular framework that simplifies LLM-powered applications.

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AWS Machine Learning Blog

AUGUST 16, 2023

In this post, we discuss how Thomson Reuters Labs created Open Arena, Thomson Reuters’s enterprise-wide large language model (LLM) playground that was developed in collaboration with AWS. The retrieved best match is then passed as an input to the LLM along with the query to generate the best response.

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Large Language Models Machine Learning Generative AI ML 92

Chatbots Life

MAY 16, 2023

10Clouds is a software consultancy, development, ML, and design house based in Warsaw, Poland. Services : Mobile app development, web development, blockchain technology implementation, 360′ design services, DevOps, OpenAI integrations, machine learning, and MLOps.

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Generative AI Chatbots Conversational AI Software Development 92

Heartbeat

OCTOBER 5, 2023

MLOps, often seen as a subset of DevOps (Development Operations), focuses on streamlining the development and deployment of machine learning models. Where is LLMOps in DevOps and MLOps In MLOps, engineers are dedicated to enhancing the efficiency and impact of ML model deployment.

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Large Language Models DevOps Machine Learning Prompt Engineering 52