NVIDIA

MARCH 1, 2024

More than half expect AI to deliver cost savings, primarily through productivity gains, improved customer service and IT efficiencies. However, challenges to driving value with AI remain, including reskilling workers, prioritizing the right AI use cases and developing a strategy to implement responsible AI.

Robotics 119

Robotics Artificial Intelligence Artificial Intelligence Generative AI 119

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 114

LLM Large Language Models ML Algorithm 114

AWS Machine Learning Blog

MARCH 4, 2024

Alida’s customers receive tens of thousands of engaged responses for a single survey, therefore the Alida team opted to leverage machine learning (ML) to serve their customers at scale. Using Amazon Bedrock allowed Alida to bring their service to market faster than if they had used other machine learning (ML) providers or vendors.

NLP 136

NLP Prompt Engineering Prompt Engineer LLM 136

AWS Machine Learning Blog

MAY 1, 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, 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 129

Chatbots Automation Machine Learning DevOps 129

John Snow Labs

JANUARY 21, 2025

NLP Logix, a leading artificial intelligence (AI) and machine learning (ML) consultancy has announced a strategic technology partnership with John Snow Labs, a premier provider of healthcare AI solutions. Together, were helping organizations transform how they operate the right way.

NLP 52

NLP Machine Learning Responsible AI Software Engineer 52

Marktechpost

DECEMBER 11, 2024

In software engineering tasks, Gemini 2.0 Jules, a new AI-powered code agent, utilizes Gemini 2.0 Flash also includes features related to responsible AI development. Dont Forget to join our 60k+ ML SubReddit. Flash: A New AI Model that is 2x Faster than Gemini 1.5 Flash achieved a 51.8%

AI Modeling 75

AI Modeling Software Engineer AI AI 75

AWS Machine Learning Blog

JANUARY 4, 2024

Randy has held a variety of positions in the technology space, ranging from software engineering to product management. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. He is deeply passionate about exploring the possibilities of generative AI.

Prompt Engineer 138

Prompt Engineer Prompt Engineering Generative AI LLM 138

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. However, we’re not limited to using generative AI for only software engineering.

LLM 105

LLM Convolutional Neural Networks Metadata Explainability 105

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. and Pandas or Apache Spark DataFrames.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Google Research AI blog

MARCH 6, 2023

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative , an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe.

Software Engineer 140

Software Engineer Algorithm AI AI 140

ODSC - Open Data Science

MARCH 22, 2023

First, we will start by walking through Gradio’s core concepts, Interface, and Blocks, and show how they can be used to create responsive machine learning web applications. As a bonus, we’ll look into boosting your ML performance with smart upsampling. What’s more, you can extend your immersive training to 4 days with a bootcamp pass.

Machine Learning 98

Machine Learning Data Science Artificial Intelligence Artificial Intelligence 98

AWS Machine Learning Blog

FEBRUARY 1, 2024

Randy has held a variety of positions in the technology space, ranging from software engineering to product management. He is actively working on projects in the ML space and has presented at numerous conferences, including Strata and GlueCon. He also holds an MBA from Colorado State University.

Generative AI 135

Generative AI Prompt Engineering Prompt Engineer AI 135

AWS Machine Learning Blog

JULY 15, 2024

If you want to learn more about this use case or have a consultative session with the Mission team to review your specific generative AI use case, feel free to request one through AWS Marketplace. in Mechanical Engineering from the University of Notre Dame. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

Big Data 123

Big Data Big Data Engineer Generative AI ML 123

AWS Machine Learning Blog

JULY 25, 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, 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.

Conversational AI 132

Conversational AI Machine Learning AI AI 132

AWS Machine Learning Blog

OCTOBER 16, 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.

Metadata 116

Metadata Automation Generative AI AI 116

AWS Machine Learning Blog

SEPTEMBER 28, 2023

In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new use cases. When the user makes a request using the AI Gateway, it’s routed to Amazon Cognito to determine access for the client.

Generative AI 118

Generative AI Metadata Large Language Models AI 118

AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker JumpStart helps you get started with machine learning (ML) by providing fully customizable solutions and one-click deployment and fine-tuning of more than 400 popular open-weight and proprietary generative AI models. Bhaskar Pratap is a Senior Software Engineer with the Amazon SageMaker team.

Generative AI 105

Generative AI Software Engineer Large Language Models Machine Learning 105

AWS Machine Learning Blog

JUNE 25, 2024

As customers look to operationalize these new generative AI applications, they also need prescriptive, out-of-the-box ways to monitor the health and performance of these applications. She is currently focusing on combining her DevOps and ML background into the domain of MLOps to help customers deliver and manage ML workloads at scale.

DevOps 119

DevOps Machine Learning LLM Software Engineer 119

ODSC - Open Data Science

JANUARY 25, 2023

The Azure ML team has long focused on bringing you a resilient product, and its latest features take one giant leap in that direction, as illustrated in the graph below (Figure 1). Continue reading to learn more about Azure ML’s latest announcements. This is the motivation behind several of Azure ML’s latest features.

Machine Learning 59

Machine Learning Data Scientist Python ML 59

AWS Machine Learning Blog

FEBRUARY 12, 2025

Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements. Responsible AI Implementing responsible AI practices is crucial for maintaining ethical and safe deployment of RAG systems. Nitin Eusebius is a Sr.

Auto-classification 96

Auto-classification Metadata Generative AI Machine Learning 96

Pickl AI

JULY 14, 2023

However, symbolic AI faced limitations in handling uncertainty and dealing with large-scale data. Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Artificial Intelligence and the Future of Humans 1.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

OCTOBER 25, 2024

Building an Open, Governed Lakehouse with Apache Iceberg and Apache Polaris (Incubating) Yufei Gu | Senior Software Engineer | Snowflake In this session, you’ll explore how open-source table formats are revolutionizing data architectures by enabling the power and efficiency of data warehouses within data lakes.

Data Scientist 52

Data Scientist Software Engineer Automation Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 8, 2023

Machine learning (ML) has become ubiquitous. Our customers are employing ML in every aspect of their business, including the products and services they build, and for drawing insights about their customers. To build an ML-based application, you have to first build the ML model that serves your business requirement.

Machine Learning 103

Machine Learning Auto-complete ML Natural Language Processing 103

ODSC - Open Data Science

JUNE 8, 2023

Some of our most popular in-person sessions were: Data Science Software Acceleration at the Edge: Audrey Reznik Guidera | Sr. We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes.

Data Science 52

Data Science Machine Learning Software Engineer NLP 52

ODSC - Open Data Science

APRIL 20, 2023

Topics covered will range from ML-based recommendations to user-friendly interfaces. Infuse Generative AI in your apps using Azure OpenAI Service Eve Psalti | Principal Group Program Manager | Microsoft Join this session to learn how you can integrate LLMs into your applications.

Data Science 52

Data Science Python Software Engineer Computer Vision 52

AWS Machine Learning Blog

AUGUST 9, 2024

Text embedding models are machine learning (ML) models that map words or phrases from text to dense vector representations. Shakun Vohra is a distinguished technology leader with over 20 years of expertise in Software Engineering, AI/ML, Business Transformation, and Data Optimization.

Data Ingestion 129

Data Ingestion Metadata LLM Generative AI 129

Chatbots Life

APRIL 19, 2024

They are followed by marketing and sales (42%), and customer service (40%); 64% expect it to confer a competitive advantage; By 2026, companies focusing on responsible AI could enhance business goal achievement and user acceptance by 50% ; Artificial intelligence disruption may increase global labor productivity by 1.5%-3.0%

Generative AI 52

Generative AI Software Engineer Chatbots Artificial Intelligence 52

ODSC - Open Data Science

MARCH 28, 2023

With considerations that include user experience, business impact, technical design, and risk management, it’s easy to get lost in the many priorities of building AI. And without adopting the right mindset and approach to responsible AI design, your organization risks a number of unintended consequences.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Software Engineer 52

TensorFlow

APRIL 6, 2023

Posted by Bhaktipriya Radharapu, Software Engineer TensorFlow Model Remediation is an open source toolkit that showcases solutions to help mitigate unfair bias in Machine Learning models. The toolkit offers resources to build fairer models for everyone – in line with Google’s AI Principles. and male at approximately 1.4%.

Machine Learning 52

Machine Learning Responsible AI Software Engineer ML 52

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 25, 2024

With a focus in Machine Learning and Generative AI, he works with global digital native companies and financial services to architect scalable, secure, and cost-effective products and services on AWS. Prior to joining AWS, he was an architect, an AI engineer, a mobile games developer, and a software engineer.

Prompt Engineer 101

Prompt Engineer Prompt Engineering Metadata Generative AI 101

ODSC - Open Data Science

SEPTEMBER 17, 2024

Large Model Quality and Evaluation Anoop Sinha | Research Director, AI & Future Technologies | Google Large model development faces many challenges when it comes to ML quality and evaluation, including the coverage, scale, and wide use cases for what LLMs are used for. Check out a few of them below.

LLM 52

LLM Large Language Models Metadata Data Science 52

John Snow Labs

SEPTEMBER 26, 2023

Zain Hassan, Senior ML Developer Advocate at Weaviate, asserts, “The most significant current application of LLMs lies in chatbots that leverage external knowledge bases. By performing Retrieval Augmented Generation (RAG), they help generate appropriate responses.

NLP 52

NLP Large Language Models Data Scientist LLM 52

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Then we’re going to talk about adapting foundation models for the enterprise and how that affects the ML lifecycle, and what we need to potentially add to the lifecycle.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Then we’re going to talk about adapting foundation models for the enterprise and how that affects the ML lifecycle, and what we need to potentially add to the lifecycle.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

Google Research AI blog

DECEMBER 6, 2022

Posted by Katja Filippova, Research Scientist, and Sebastian Ebert, Software Engineer, Google Research, Brain team Modern machine learning models that learn to solve a task by going through many examples can achieve stellar performance when evaluated on a test set, but sometimes they are right for the “wrong” reasons: they make correct predictions (..)

BERT 52

BERT Neural Network Software Engineer NLP 52

AWS Machine Learning Blog

NOVEMBER 19, 2024

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. TDD is a software development methodology that emphasizes writing tests before implementing actual code.

Automation 116

Automation Responsible AI Generative AI Software Development 116