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 115

Robotics Artificial Intelligence Artificial Intelligence Generative AI 115

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

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

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 127

Chatbots Automation Machine Learning DevOps 127

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 122

NLP Prompt Engineer Prompt Engineering LLM 122

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

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

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

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 112

Metadata Automation Generative AI AI 112

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 122

Big Data Big Data Engineer Generative AI ML 122

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

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

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 134

Generative AI Prompt Engineer Prompt Engineering AI 134

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 123

Generative AI Metadata AI AI 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 130

Conversational AI Machine Learning AI AI 130

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 122

DevOps Machine Learning LLM Software Engineer 122

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.

Metadata 134

Metadata Machine Learning Data Scientist Data Quality 134

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 Ingestion 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 AI 52

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

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 ML Engineer 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 127

Data Ingestion Metadata LLM Generative AI 127

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 96

Machine Learning Auto-complete ML Natural Language Processing 96

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 Engineer Prompt Engineering 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 Engineer Prompt Engineering 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 107

Automation Responsible AI Generative AI Software Development 107

AWS Machine Learning Blog

OCTOBER 30, 2024

We then use generative AI, powered by Amazon Bedrock, to analyze and summarize the transcribed content, extracting key insights and generating comprehensive documentation. His expertise encompasses building next-generation AI solutions, including chatbots and predictive models that drive efficiency and innovation.

DevOps 99

DevOps Generative AI Software Engineer Software Development 99

AWS Machine Learning Blog

SEPTEMBER 9, 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.

Software Architect 119

Software Architect Generative AI AI AI 119

The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. In this comprehensive guide, we’ll explore everything you need to know about machine learning platforms, including: Components that make up an ML platform.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Towards AI

NOVEMBER 16, 2023

In this episode, they discussed the democratization of AI, advancements in AI-assisted coding, and the ethics of innovation. Paige also discussed the need for responsible AI development, the importance of careful product design around LLMs, the role of a product manager within AI research teams, and much more.

Large Language Models 93

Large Language Models AI AI Software Engineer 93

TheSequence

JUNE 19, 2024

I am a Principal Software Engineer at Microsoft, where I have worked on various AI projects and have been a core contributor in the development of Microsoft Copilot. While my colleagues recognize me as a diligent engineer, but only a few have had the opportunity to witness my prowess as a skier.

Software Engineer 49

Software Engineer Automation LLM Responsible AI 49