How should enterprises respond to the turbo charged changes in gen AI trends? Insights from Gartner on the competitive landscape and scaling strategies for the year ahead.
How should enterprises respond to the turbo charged changes in gen AI trends? Insights from Gartner on the competitive landscape and scaling strategies for the year ahead.
Open and free financial datasets and economic datasets are an essential starting point for data scientists and engineers who are developing and training ML models for finance. Here are 13 excellent ones.
This guide outlines six best practices to ensure your generative AI initiatives are effective: valuable, scalable, compliant and future-proof.
RAG uses external resources to train models, fine-tuning involves further training on specialized datasets. Learn when to use each one and why
Effectively implement and scale gen AI while avoiding risk. See use cases, from R&D to automotive to the supply chain.
LLM evaluation is the process of assessing the performance and capabilities of LLMs. In this post we present the different types of LLM evaluation methods and show a demo of a chatbot that was developed with crowdsourcing.