OpenAI Evals are used for evaluating LLM models and finding accuracy, which helps to compare the custom models and figure out how best your custom model performs.
Leveraging deep learning models, generative AI exhibits a unique ability to interpret diverse input types and seamlessly generate novel content across various modalities.
Data and generative AI services that provide data analysis, ETL, and NLP enable robust integration strategies for unlocking the full potential of data assets.
Learn about MLOps architectural challenges and ways to manage complexity through this end-to-end guide for MLOps app development with a financial institution use case.
Cognitive and perspective analytics represent powerful tools in the analytical era. When used together, they can provide a more complete picture of analytics data.
In this blog post, we will delve into the intricacies of building AI-powered ad recommendation systems and key tips and tricks that developers need to consider.
AI has become a fundamental part of modern software development, impacting devs in both positive and negative ways and highlighting the importance of continuous learning.
In recent years, artificial intelligence (AI) has emerged as a transformative force across various industries, and software development is no exception.
The article discusses Amazon Elasticache Redis, a managed in-memory caching service that can enhance the performance and user experience of applications.
Embark on a journey through the key milestones and advancements that have shaped the IT landscape, exploring the technologies driving progress and the implications.
GenAI is an ethical quagmire. What responsibility do data leaders have to navigate it? We consider the need for ethical AI and why data ethics are AI ethics.
Elevate DevSecOps with AI-powered ASOC platforms for faster, secure software builds. Simplify compliance and enhance security. Explore more in this article.
Taking a look into AI, with real examples and the new use of models like LLaMA, encourages us to imagine a future where AI and human creativity come together.
A comprehensive approach for monitoring Generative AI applications in production, combining infrastructure performance tracking with proactive content analysis.