RAG uses external resources to train models, fine-tuning involves further training on specialized datasets. Learn when to use each one and why
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.
Monitoring LLMs ensures higher performing models at higher efficiency, while meeting ethical considerations like ensuring privacy and eliminating bias and toxicity. In this blog post, we bring the top LLM metrics we recommend measuring and when to use each one.
Gen AI is already impacting customer care organizations across many different use cases. In this post we dive deep into these use cases and their business and operational impact, and show how one is built.
Here are 10 excellent open manufacturing datasets and data sources for manufacturing data for machine learning.