Andrew Sellers

Dec 12, 2024 | thenewstack.io | Andrew Sellers |Adi Polak

Interest in AI has surged since 2020 and dominated conversations across headlines and boardrooms ever since. So it’s unsurprising that business development has followed suit — 81% of IT leaders listed AI and machine learning as an important or top priority in their 2024 budgets, according to survey results in Confluent’s Data Streaming Report. But is all this attention and investment leading to a near-term future where AI is ubiquitous and functions as intended?

Sep 10, 2024 | confluent.io | Andrew Sellers

It sounds counterintuitiveā€”using a technology that has trust issues to create more trustworthy data. But smart engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications. Generative AI models are remarkable for their ability to answer questions in human-like sentences, but they are prone to hallucination, and they canā€™t derive insight from internal company data that wasnā€™t part of their training.

Aug 22, 2024 | thenewstack.io | Andrew Sellers |Agam Shah |Brian Godsey |Rob Whiteley

It sounds counterintuitive — using a technology that has trust issues to create more trustworthy data. But smart engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications. Generative AI models are remarkable for their ability to answer questions in human-like sentences, but they are prone to hallucination, and they can’t derive insight from internal company data that wasn’t part of their training.

Aug 8, 2024 | dzone.com | Andrew Sellers

Retrieval augmented generation (RAG) has emerged as a leading pattern to combat hallucinations and other inaccuracies that affect large language model content generation. However, RAG needs the right data architecture around it to scale effectively and efficiently. A data streaming approach grounds the optimal architecture for supplying LLMs with large volumes of continuously enriched, trustworthy data to generate accurate results.

Jul 24, 2024 | thenewstack.io | Ash Osborne |scale APIs |Andrew Sellers |Jelani Harper

Despite the explosion in enthusiasm surrounding large language models (LLMs), any new cloud-based software solution can create or expose new vulnerabilities. Let’s explore seven of the LLM vulnerabilities that the Open Web Application Security (OWASP) project has published and how we can mitigate these risks by applying API management security.