Unite.AI

JULY 11, 2023

Introduction to Responsible AI Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: No What will AI enthusiasts learn? What is Responsible Artificial Intelligence ? An introduction to the 7 Responsible AI principles of Google.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Unite.AI

OCTOBER 4, 2023

Feedback Loops: With a constant feedback and learning loop , AI models can gradually improve their outcomes Increased Regulations: Global AI regulations are crucial for maintaining the quality of AI systems across borders. Hence, international organizations must work together to ensure AI standardization.

Artificial Intelligence 273

Artificial Intelligence Artificial Intelligence AI AI 273

AWS Machine Learning Blog

OCTOBER 31, 2024

Install the Python package dependencies that are needed to build and deploy the project. This project is set up like a standard Python project. Consider integrating Amazon Bedrock Guardrails to implement safeguards customized to your application requirements and responsible AI policies.

Generative AI 116

Generative AI AI AI Python 116

AWS Machine Learning Blog

MARCH 14, 2025

This post focuses on RAG evaluation with Amazon Bedrock Knowledge Bases, provides a guide to set up the feature, discusses nuances to consider as you evaluate your prompts and responses, and finally discusses best practices.

Generative AI 85

Generative AI Responsible AI Automation LLM 85

Flipboard

APRIL 1, 2025

Start an Automated Reasoning check using Python SDK and APIs First, you need to create an Automated Reasoning policy from your documents using the Amazon Bedrock console as outlined in the previous section. Next, you can use the policy created with the ApplyGuardrail API to validate your generative AI application.

Automation 165

Automation Generative AI AI AI 165

AI Weekly

NOVEMBER 30, 2023

Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies.

Neural Network 264

Neural Network OpenAI Robotics ChatGPT 264

Unite.AI

SEPTEMBER 26, 2024

Typically, this requires the intuitive expertise of IT professionals with years of experience (using CLI tools, Ansible, Python, etc.). Until AI, there were no shortcuts to gaining this troubleshooting knowledge. With AI thrown into the mix how are teams measured? AI will never placate key stakeholders or customers.

Automation 259

Automation AI AI Python 259

AWS Machine Learning Blog

APRIL 4, 2025

With Bring Your Own Inference (BYOI) responses, you can now evaluate retrieval and generation results from a variety of sources, including other FM providers, custom-build RAG systems, or deployed open-weights solutions, by providing the outputs in the required format. Hover over an individual score to view its detailed explanation.

Generative AI 99

Generative AI Metadata Python Data Scientist 99

Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

Responsible AI 52

Responsible AI AI AI Data Science 52

Snorkel AI

FEBRUARY 22, 2023

At Snorkel AI’s 2022 Future of Data-Centric AI virtual conference, Eisenberg gave a short presentation on the way he and his colleagues are working to operationalize the assessment of responsible AI systems using a Credo AI tool called Lens. My name is Ian Eisenberg, and I head the data science team at Credo AI.

Responsible AI 52

Responsible AI AI AI Data Science 52

AWS Machine Learning Blog

MARCH 18, 2025

Streamlit This open source Python library makes it straightforward to create and share beautiful, custom web apps for ML and data science. In just a few minutes you can build powerful data apps using only Python. Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs. Error app.py

LLM 90

LLM Metadata Large Language Models Python 90

AWS Machine Learning Blog

OCTOBER 29, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Generative AI 101

Generative AI Metadata Data Scientist AI 101

AWS Machine Learning Blog

OCTOBER 29, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 103

Generative AI ML AI AI 103

ODSC - Open Data Science

FEBRUARY 23, 2023

Upcoming Webinars: How to build stunning Data Science Web applications in Python Thu, Feb 23, 2023, 12:00 PM — 1:00 PM EST This webinar presents Taipy, a new low-code Python package that allows you to create complete Data Science applications, including graphical visualization and the management of algorithms, models, and pipelines.

Data Science 98

Data Science Data Scientist Python Responsible AI 98

AWS Machine Learning Blog

MARCH 14, 2025

Require Python 3.11 Implement safeguards by filtering harmful multimodal content based on your responsible AI policies for your application by associating Amazon Bedrock Guardrails with your agent. Prerequisites AWS Command Line Interface (CLI), follow instructions here. Make sure to setup credentials, follow instructions here.

Automation 123

Automation Software Engineer Generative AI Machine Learning 123

Marktechpost

JUNE 19, 2024

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

Artificial Intelligence 121

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 121

AWS Machine Learning Blog

NOVEMBER 19, 2024

Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices. Fifth, we’ll showcase various generative AI use cases across industries. And finally, get ready for the AWS DeepRacer League as it takes it final celebratory lap.

ML 85

ML Generative AI AI AI 85

Marktechpost

APRIL 11, 2024

With a prerequisite of intermediate Python knowledge, this course is designed for those looking to scale their LLM applications effectively, catering to a large user base while balancing performance and speed. Participants will learn to adapt open-source pipelines for supervised fine-tuning, manage model versions, and preprocess datasets.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence LLM Python 111

Pickl AI

OCTOBER 26, 2023

The following are necessary steps to use ChatGPT APIs in Python: configure your Python environment, get an API key from OpenAI, write Python code to create API calls, and modify the results to fit the needs of your application. In this example, we’ll send a simple message to the model and retrieve its response.

Python 52

Python ChatGPT Natural Language Processing OpenAI 52

AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. In this next example, we use the Meta’s Llama 3.2 The following image is of a gearbox.

Convolutional Neural Networks 95

Convolutional Neural Networks LLM Metadata Explainability 95

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

Responsible AI 52

Responsible AI Data Science Deep Learning Machine Learning 52

ODSC - Open Data Science

MARCH 6, 2023

Primary Coding Language for Machine Learning Likely to the surprise of no one, python by far is the leading programming language for machine learning practitioners. Lastly, data engineering is popular as the engineering side of AI is needed to make the most out of data, such as collection, cleaning, extracting, and so on.

Machine Learning 116

Machine Learning Data Science Deep Learning Data Scientist 116

ODSC - Open Data Science

MARCH 8, 2024

Now enter PyRIT , the Python Risk Identification Tool, a new open-access automation framework designed to upend how security professionals and machine learning engineers assess the robustness of foundation models and their applications against potential threats.

Python 52

Python Generative AI Data Science Machine Learning 52

Mlearning.ai

APRIL 1, 2023

Responsible AI in Predictive Maintenance — Using NASA Turbofan Engine Degradation Dataset — Using sklearn End to End Train model and perform Responsible AI on NASA Turbofan Engine Degradation Dataset Introduction Using NASA Turbofan Engine Degradation Dataset, we will train a model to predict Remaining Useful Life (RUL) of an engine.

Responsible AI 40

Responsible AI AI AI ML 40

AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 69

Chatbots Categorization LLM Algorithm 69

AWS Machine Learning Blog

FEBRUARY 21, 2025

This setup uses the AWS SDK for Python (Boto3) to interact with AWS services. The agent knowledge base stores Amazon Bedrock service documentation, while the cache knowledge base contains curated and verified question-answer pairs.

LLM 108

LLM Large Language Models Natural Language Processing Machine Learning 108

ODSC - Open Data Science

MARCH 10, 2025

Tools like Python , R , and SQL were mainstays, with sessions centered around data wrangling, business intelligence, and the growing role of data scientists in decision-making. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

LLM 93

LLM Large Language Models ML Algorithm 93

Unite.AI

FEBRUARY 14, 2024

One important thing to underline is that wherever we talk about AI, we also embed the concepts of ethics, responsibility and human-centeredness. OPIT offers a Master's Degree (MSc) in Responsible Artificial Intelligence. Can you discuss why responsible AI should be at the forefront of AI education?

Computer Vision 130

Computer Vision NLP Responsible AI Artificial Intelligence 130

Towards AI

AUGUST 8, 2024

Learn AI Together Community section! Featured Community post from the Discord Arwmoffat just released Manifest, a tool that lets you write a Python function and have an LLM execute it. Continuous monitoring and ethical guidelines are crucial to ensure responsible AI use. Get the book now at 30% off! Meme of the week!

Neural Network 111

Neural Network Metadata Explainability LLM 111

AWS Machine Learning Blog

MARCH 6, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing Foundation Models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

LLM 100

LLM Generative AI ML Prompt Engineer 100

AWS Machine Learning Blog

JUNE 18, 2024

We extract the default generic entities through the AWS SDK for Python (Boto3) as follows: import pandas as pd comprehend_client = boto3.client("comprehend") First, we extract context from the entire document using Amazon Textract. The code below uses the amazon-textract-caller library as a wrapper for the Textract API calls.

Large Language Models 117

Large Language Models Natural Language Processing LLM Computer Vision 117

AWS Machine Learning Blog

AUGUST 26, 2024

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. env_setup.cmd Prepare the sign video annotation file for each processing run: python prep_metadata.py

Generative AI 113

Generative AI DevOps AI AI 113

AWS Machine Learning Blog

FEBRUARY 9, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Machine Learning 139

Machine Learning Python Generative AI Explainability 139

Towards AI

JANUARY 6, 2025

Generative AI with LLMs course by AWS AND DEEPLEARNING.AI Generative AI with large language models course involves skills in the said streams while training models and applying generative AI to business scenarios. Prior experience in Python, ML basics, data training, and deep learning will come in handy for a smooth ride ahead.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

AWS Machine Learning Blog

DECEMBER 9, 2024

Run ML experimentation with MLflow using the @remote decorator from the open-source SageMaker Python SDK. He specializes in responsible AI, driven by a passion to develop ethically sound and transparent AI solutions. The overall solution architecture is shown in the following figure.

ML 84

ML Data Scientist Machine Learning Software Engineer 84

Marktechpost

MARCH 12, 2024

ML data has unique requirements, like combining and extracting data from structured and unstructured sources, having metadata allowing for responsible data use, or describing ML usage characteristics like training, test, and validation sets. Google has recently introduced Croissant, a new format for metadata in ML-ready datasets.

Metadata 118

Metadata Machine Learning ML Data Discovery 118