ODSC - Open Data Science

DECEMBER 1, 2023

First you’ll delve into the history of NLP, with a focus on how Transformer architecture contributed to the creation of large language models (LLMs). Then you’ll practice training a pretrained Large Language Model (LLM) on specific tasks.

Data Science 52

Data Science DevOps Machine Learning Large Language Models 52

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.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. LLM training configurations. Guardrails: – Does pydantic-style validation of LLM outputs. recovery from node failures).

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

NOVEMBER 29, 2023

However, harnessing this potential while ensuring the responsible and effective use of these models hinges on the critical process of LLM evaluation. An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Who needs to perform LLM evaluation?

LLM 99

LLM Data Scientist Algorithm Generative AI 99

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. The data would be interesting to analyze.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

The MLOps Blog

JUNE 5, 2023

What are the best options to host an LLM at a reasonable scale? How do you have a similar tool for experimentation on prompts? Keep track of versions of prompts and what worked and all that. Why do we have MLOps as opposed to DevOps? There are actually advanced prompt engineers, which is like, incredible in itself.

Large Language Models 52

Large Language Models Machine Learning Software Engineer Natural Language Processing 52

Flipboard

JANUARY 7, 2025

Amazon Q Business was selected because of its built-in enterprise search web crawler capability and ease of deployment without the need for LLM deployment. IAM federationmaintaining secure access to the chat interfaceto retrieve answers from a pre-indexed knowledge base and to validate the responses using Anthropics Claude v2 LLM.

IDP 138

IDP Machine Learning Generative AI LLM 138

AWS Machine Learning Blog

NOVEMBER 27, 2024

This function retrieves the code, scans it for vulnerabilities using a preselected large language model (LLM), applies remediation, and pushes the remediated code to a new branch for user validation. The Amazon Bedrock agent forwards the details to an action group that invokes a Lambda function.

Generative AI 96

Generative AI Automation DevOps Prompt Engineer 96