Marktechpost

DECEMBER 24, 2023

Specifically in plant pathology, its rapid data analysis revolutionizes disease management, offering efficient solutions for crop protection and heightened productivity. The authors catalog various datasets crucial for machine learning in leaf disease classification, spanning single-species and multi-species categories.

Machine Learning 99

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 99

Unite.AI

MARCH 27, 2024

Shadow IT is generally well-known and relatively easy to manage once spotted. RBAC was practical for a smaller organization with limited roles and few data initiatives. An ABAC system also tends to be inherently more secure than prior access control models. Just decommission the application and move on.

Automation 162

Automation Data Science AI Modeling AI Tools 162

AWS Machine Learning Blog

MAY 9, 2024

They establish and enforce best practices encompassing design, development, processes, and governance operations, thereby mitigating risks and making sure robust business, technical, and governance frameworks are consistently upheld.

ML 99

ML Generative AI AI AI 99

ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition.

Big Data 98

Big Data Metadata ETL Business Intelligence 98

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

Generative AI 116

Generative AI LLM ML AI 116

Towards AI

FEBRUARY 10, 2024

Author(s): Kelvin Lu Originally published on Towards AI. Definition of a full-stack data scientist The sibling relationship between data science and software development has led to the borrowing of many concepts from the software development domain into data science practice. Knows MLOps practices.

Data Scientist 106

Data Scientist Software Development Data Science Machine Learning 106

Flipboard

NOVEMBER 24, 2023

To pave the way for the growth of AI, BMW Group needed to make a leap regarding scalability and elasticity while reducing operational overhead, software licensing, and hardware management. Overview of solution JuMa is a fully managed multi-tenant, security hardened AI platform service built on AWS with SageMaker Studio at the core.

ML 95

ML DevOps Data Scientist ML Engineer 95

AWS Machine Learning Blog

APRIL 18, 2024

This post is co-authored by Jackie Rocca, VP of Product, AI at Slack Slack is where work happens. This keeps customer data in Slack at all times and upholds the same security practices and compliance standards that customers expect from Slack itself. He focuses on helping customers design, deploy, and manage ML workloads at scale.

Generative AI 93

Generative AI ML AI AI 93

IBM Journey to AI blog

DECEMBER 19, 2023

Stage 3: Self-service and cross-functional integration Enterprises have many organizations that want to see that cloud applications follow their guidance and best practices. Build AuthN/AuthZ integration patterns that abstract nuances and standardize authentication and authorization of applications, data and services.

Automation 188

Automation DevOps Software Development 188

AWS Machine Learning Blog

MARCH 27, 2024

The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance. About the Authors Sunil Bemarkar is a Sr. Using a Git-based SCM pulls these insight together seamlessly.

DevOps 82

DevOps Generative AI Automation Software Development 82

ODSC - Open Data Science

APRIL 3, 2024

Our lineup of experts has won numerous awards, authored books and widely cited papers, and shaped the future of data science and AI with their research. The keynotes and featured speakers for ODSC East 2024 have won numerous awards, authored books and widely cited papers, and shaped the future of data science and AI with their research.

Large Language Models 52

Large Language Models Data Science Generative AI AI Researcher 52

AWS Machine Learning Blog

APRIL 11, 2024

Blackwell’s secure AI capabilities integrated with the AWS Nitro System and AWS Key Management Service (AWS KMS) will provide customers end-to-end control of their training data and model weights. Campaign Manager in Americas Field Marketing. Campaign Manager in Americas Field Marketing.

Generative AI 92

Generative AI Robotics Large Language Models AI 92

Marktechpost

APRIL 4, 2024

The Book of R: A First Course in Programming and Statistics This book is a beginner-friendly guide to R, which can be read even by those without prior experience with the language. It also includes three practical data analysis projects, along with various examples that help readers understand the language’s fundamentals.

Data Analysis 79

Data Analysis Data Science Data Mining Explainability 79

AWS Machine Learning Blog

SEPTEMBER 28, 2023

For example, handling hallucinations, managing company-specific IPs and EULAs (End User License Agreements), as well as moderating generations are new responsibilities that go beyond the scope of traditional API Gateways. For example: The state-of-the-art (SOTA) of models, architectures, and best practices are constantly changing.

Generative AI 91

Generative AI Metadata AI AI 91

ODSC - Open Data Science

DECEMBER 5, 2023

Later on, Yaron Haviv, Co-Founder and CTO of Iguazio discussed the growth of generative AI and how you can implement it in practice from a technical perspective, including guardrails, benefits, and issues to watch out for.

Large Language Models 98

Large Language Models Data Science Artificial Intelligence Artificial Intelligence 98

Dlabs.ai

MARCH 9, 2022

The Black Swan Author: Nassim Taleb Let’s start with one of the least obvious titles. To put this into practice: don’t be afraid to try out different strategies and models because you may just stumble across the right solution. Let’s dive in. Top books for data scientists 1.

Data Scientist 52

Data Scientist Machine Learning Python Data Science 52

Towards AI

APRIL 1, 2024

Last Updated on April 1, 2024 by Editorial Team Author(s): Jesus Rodriguez Originally published on Towards AI. This new dataset benefited from comprehensive data processing and management tools, facilitating an optimized training regimen that notably enhanced model quality through strategic adjustments in the data mix.

LLM 72

LLM Machine Learning Large Language Models Generative AI 72

AWS Machine Learning Blog

JUNE 29, 2023

Hugging Face and the authors of the paper mentioned have published a detailed blog post that covers the fundamentals and integrations with the Transformers and PEFT libraries. Using notebooks to fine-tune LLMs SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models.

Auto-complete 125

Auto-complete Large Language Models Machine Learning ML 125

AWS Machine Learning Blog

NOVEMBER 8, 2023

Amazon CodeWhisperer is a generative AI coding companion that speeds up software development by making suggestions based on the existing code and natural language comments, reducing the overall development effort and freeing up time for brainstorming, solving complex problems, and authoring differentiated code. Erick holds a B.S.

Software Development 91

Software Development Machine Learning Auto-complete ML 91

AWS Machine Learning Blog

DECEMBER 5, 2023

At the same time, enterprise security, compliance, data management, and information offices are apprehensive of exposing or leaking plain text customer information or other regulated data outside of the enterprise. AWS and Protopia AI are partnering to deliver the critical component that solves this common enterprise customer need.

LLM 90

LLM AI AI Generative AI 90

Flipboard

APRIL 13, 2023

Alexa, powered by more than 30 different ML systems, helps customers billions of times each week to manage smart homes, shop, get information and entertainment, and more. That’s why today I’m excited to announce several new innovations that will make it easy and practical for our customers to use generative AI in their businesses.

Generative AI 182

Generative AI ML AI AI 182

Dlabs.ai

DECEMBER 9, 2021

Natural Language Processing Succinctly Author : Joseph D. Deep Learning for NLP and Speech Recognition Authors : Uday Kamath , John Liu , James Whitaker This book looks at applying deep learning architecture to tasks like document classification, translation, language modeling, and speech recognition.

Natural Language Processing 59

Natural Language Processing Neural Network NLP Deep Learning 59

AWS Machine Learning Blog

OCTOBER 17, 2023

One challenge that agents face is finding the precise information when answering customers’ questions, because the diversity, volume, and complexity of healthcare’s processes (such as explaining prior authorizations) can be daunting. Prior to joining Amazon Health, Jangwon was an applied scientist at Amazon Alexa Speech.

LLM 101

LLM Chatbots Explainability Generative AI 101

AWS Machine Learning Blog

FEBRUARY 29, 2024

It allows you to seamlessly customize your RAG prompts and retrieval strategies—we provide the source attribution, and we handle memory management automatically. To enable effective retrieval from private data, a common practice is to first split these documents into manageable chunks. Choose Next. Choose Next.

Machine Learning 106

Machine Learning Computer Vision Generative AI Explainability 106

Unite.AI

AUGUST 1, 2023

The first prompt, poorly-defined and assuming prior knowledge, generates a potentially unhelpful response for the user. ” Prompt 2 : “I want to learn about Convolutional Neural Networks, but I have no prior knowledge of Artificial Neural Networks. Imagine you're trying to translate English to French.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

AWS Machine Learning Blog

NOVEMBER 17, 2023

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. With fully managed agents, you don’t have to worry about provisioning or managing infrastructure.

DevOps 81

DevOps Prompt Engineer Prompt Engineering Automation 81

AWS Machine Learning Blog

APRIL 19, 2024

Amazon OpenSearch Ingestion (OSI) is a fully managed, serverless data collector that delivers data to OpenSearch Service domains and OpenSearch Serverless collections. These steps are completed prior to the user interaction steps. Update these roles to apply least-privilege permissions, as discussed in Security best practices.

Metadata 96

Metadata ML Machine Learning Natural Language Processing 96

ODSC - Open Data Science

FEBRUARY 22, 2023

Although universities, continuing education, and corporate training programs teach the theory behind how to generate analytics and manage data, they do not typically spend time on how to effectively present that information to others. Without proper preparation, all of your previous work will be for naught.

Big Data 98

Big Data Data Science Artificial Intelligence Artificial Intelligence 98

Flipboard

MARCH 9, 2023

We propose an architecture based on the fully managed Amazon SageMaker training and serving features that enables SaaS providers to develop their applications faster, provide quality of service, and increase cost-effectiveness. Refer to Managing backend requests and frontend notifications in serverless web apps for best practices on this.

Generative AI 106

Generative AI Deep Learning ML AI 106

AWS Machine Learning Blog

MAY 2, 2024

Although this is a useful benchmark, we caution our enterprise customers with the following considerations: Although the MTEB leaderboard is widely recognized, it provides only a partial assessment by focusing solely on accuracy metrics and overlooking crucial practical factors like inference latency and model capabilities.

Machine Learning 96

Machine Learning Natural Language Processing NLP ML 96

Flipboard

NOVEMBER 21, 2023

This example will summarize each step, providing a practical understanding of how to leverage MATLAB and Amazon SageMaker for machine learning tasks. You can clean up these resources using the SageMaker Python SDK or the AWS Management Console for the specific services used here (SageMaker, Amazon ECR, and Amazon S3).

Machine Learning 116

Machine Learning Auto-classification Python Algorithm 116

AWS Machine Learning Blog

SEPTEMBER 11, 2023

AWS customers rely on IaC to design, develop, and manage their cloud infrastructure, such as SageMaker Domains. IaC ensures that customer infrastructure and services are consistent, scalable, and reproducible while following best practices in the area of development operations (DevOps). Your browser will open the CloudShell terminal.

Auto-complete 89

Auto-complete ML Machine Learning DevOps 89

Flipboard

JULY 7, 2023

Kohane, a practicing physician with a computer science PhD, got early access to GPT-4, the latest version of the large language model that powers ChatGPT. How are you going to incorporate this into practice?” How are you going to incorporate this into practice? But this was full-strength science fiction, a doctor-in-the-box. “At

ChatGPT 145

ChatGPT OpenAI Large Language Models LLM 145

O'Reilly Media

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? How can you start applying the stack in practice today? Why: Data Makes It Different.

DevOps 137

DevOps Software Engineer Data Scientist ML 137

AWS Machine Learning Blog

FEBRUARY 19, 2024

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single endpoint. They provide mechanisms for parallel processing and managing resources efficiently to ensure high throughput and low latency.

ML 88

ML Auto-complete Deep Learning Software Engineer 88

AWS Machine Learning Blog

NOVEMBER 14, 2023

However, this introduces a new challenge: how to properly manage these new types of fine-tuned models. In this post, we walk through best practices for managing LoRA fine-tuned models on Amazon SageMaker to address this emerging question. Should you combine the base model and adapter or keep them separate?

LLM 84

LLM ML Natural Language Processing Machine Learning 84

AWS Machine Learning Blog

JUNE 28, 2023

Customers using them for image generation must prioritize content moderation to protect their users, platform, and brand by implementing strong moderation practices to create a safe and positive user experience while safeguarding their platform and brand reputation.

Computer Vision 76

Computer Vision ML AI AI 76