Monthly Archives: April 2024
Examining Benefits & Risks of Open Foundation Models
As new technologies entry the market, we see government regulations come up due to a few reason. The wave of recent AI regulations are largely being positioned as addressing the first two reasons. Although many commentators make the claim that … Continue reading
Open Models: The focus of AI Governance
Every new technology ushers in both excitement and concerns. The latest innovations in AI with the introduction of large language models is no exception. The quantum leap in progress demonstrated by these models caught most people, even those working in … Continue reading
New Data on AI Policy and Governance
The Stanford University: Human-Centered Artificial Intelligence center’s 2024 AI Index has been released. It collects and shares highly relevant data to the broad field of AI, covering topics ranging from latest investments in AI research and development, AI in fields … Continue reading
A simple taxonomy to guide your LLM prompt engineering
Large language models (LLM) have truly democratized AI development. Software engineers can now develop many AI applications without the need for dedicated model development. These LLMs are a one-stop shop for performing a variety of natural language processing (NLP) tasks. … Continue reading
Resources for understanding Transformer Architectures
The current generative AI boom is built on the foundations of the Transformer architecture used to create the large language models (LLM). The technical details of the Transformer architecture was described in the Google paper that first introduced it: “Attention … Continue reading
Pulper Tank 