AWS Machine Learning Blog

JUNE 25, 2024

For example, you can write a Logs Insights query to calculate the token usage of the various applications and users calling the large language model (LLM). Attributing LLM usage to specific users or applications. He focuses on monitoring and operationalizing cloud and LLM workloads in CloudWatch for AWS customers.

DevOps 112

DevOps Machine Learning LLM Software Engineer 112

AWS Machine Learning Blog

OCTOBER 22, 2024

Create a complete AI/ML pipeline for fine-tuning an LLM using drag-and-drop functionality. Llama fine-tuning pipeline overview In this post, we will show you how to set up an automated LLM customization (fine-tuning) workflow so that the Llama 3.x But fine-tuning an LLM just once isn’t enough.

Automation 79

Automation LLM DevOps Python 79

Unite.AI

JUNE 24, 2024

It combines principles from DevOps, such as continuous integration, continuous delivery, and continuous monitoring, with the unique challenges of managing machine learning models and datasets. Especially in the current time when large language models (LLMs) are making their way for several industry-based generative AI projects.

Data Drift 120

Data Drift Machine Learning Data Scientist ML 120

AWS Machine Learning Blog

NOVEMBER 7, 2023

Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG). We have provided this demo in the GitHub repo.

Large Language Models 111

Large Language Models Generative AI LLM AI 111

AWS Machine Learning Blog

JULY 25, 2024

Although existing large language model (LLM) benchmarks like MT-bench evaluate model capabilities, they lack the ability to validate the application layers. The framework implements an LLM agent (evaluator) that will orchestrate conversations with your own agent (target) and evaluate the responses during the conversation.

Conversational AI 123

Conversational AI Machine Learning AI AI 123

AWS Machine Learning Blog

FEBRUARY 2, 2024

Overview of RAG The RAG pattern lets you retrieve knowledge from external sources, such as PDF documents, wiki articles, or call transcripts, and then use that knowledge to augment the instruction prompt sent to the LLM. This allows the LLM to reference more relevant information when generating a response.

ETL 108

ETL DevOps LLM Generative AI 108

Mlearning.ai

AUGUST 18, 2023

My interpretation to MLOps is similar to my interpretation of DevOps. As a software engineer your role is to write code for a certain cause. DevOps cover all of the rest, like deployment, scheduling of automatic tests on code change, scaling machines to demanding load, cloud permissions, db configuration and much more.

DevOps 52

DevOps Python ML ML Engineer 52

The MLOps Blog

JUNE 27, 2023

This article by Samhita Alla, a software engineer and tech evangelist at Union.ai, provides a simplified walkthrough of the applications of Flyte in MLOps. LLM training configurations. Guardrails: – Does pydantic-style validation of LLM outputs. Check out the documentation to get started.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MARCH 18, 2024

NVIDIA NIM m icroservices now integrate with Amazon SageMaker , allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. NIM also plans to have LLM support by supporting Triton Inference Server, TensorRT-LLM, and vLLM backends.

LLM 119

LLM Deep Learning Machine Learning Large Language Models 119

Mlearning.ai

JUNE 16, 2023

Game changer ChatGPT in Software Engineering: A Glimpse Into the Future | HackerNoon Generative AI for DevOps: A Practical View - DZone ChatGPT for DevOps: Best Practices, Use Cases, and Warnings. The article has good points with any LLM Use prompt to guide. ChatGPT codes like an expert beginner.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineering 52

The MLOps Blog

JUNE 5, 2023

One of the hardest things about MLOps today is that a lot of data scientists aren’t native software engineers, but it may be possible to lower the bar to software engineering. Learning software engineering best practices and understanding how ML systems get built and productionized. Stephen : Awesome.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52

AWS Machine Learning Blog

DECEMBER 18, 2024

With a vision to build a large language model (LLM) trained on Italian data, Fastweb embarked on a journey to make this powerful AI capability available to third parties. The computational cost of training an LLM The computational cost of training LLMs scales approximately with the number of parameters and the amount of training data.

Large Language Models 90

Large Language Models Data Scarcity LLM Generative AI 90

AWS Machine Learning Blog

NOVEMBER 7, 2024

Ravi Sharma is a Senior Software Engineer at Zalando’s Pricing Platform, bringing experience across diverse domains such as football betting, radio astronomy, healthcare, and ecommerce. His work encompasses the development of business-relevant and scalable forecasting models, stretching from prototyping to deployment.

ML 100

ML Machine Learning Automation Data Scientist 100