ML Engineer Prompt Engineering Software Development 
Marktechpost
NOVEMBER 16, 2024
It covers how generative AI works, its applications, and its limitations, with hands-on exercises for practical use and effective prompt engineering. Introduction to Generative AI This beginner-friendly course provides a solid foundation in generative AI, covering concepts, effective prompting, and major models.
Marktechpost
JUNE 19, 2024
It covers how generative AI works, its applications, and its limitations, with hands-on exercises for practical use and effective prompt engineering. Introduction to Generative AI This beginner-friendly course provides a solid foundation in generative AI, covering concepts, effective prompting, and major models.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Snorkel AI
MAY 4, 2023
AI development stack: AutoML, ML frameworks, no-code/low-code development. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. The free virtual conference is the largest annual gathering of the data-centric AI community.
Snorkel AI
MAY 4, 2023
AI development stack: AutoML, ML frameworks, no-code/low-code development. Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. The free virtual conference is the largest annual gathering of the data-centric AI community.
ODSC - Open Data Science
JANUARY 10, 2024
The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.
AWS Machine Learning Blog
APRIL 25, 2023
This allows ML engineers and admins to configure these environment variables so data scientists can focus on ML model building and iterate faster. About the Authors Dipankar Patro is a Software Development Engineer at AWS SageMaker, innovating and building MLOps solutions to help customers adopt AI/ML solutions at scale.
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. Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries.
Expert insights. Personalized for you.
105 
Let's personalize your content