Are you using an LLM that is fit to your specific use case? Here's our guide on choosing and optimizing LLMs for performance and cost.
Are you using an LLM that is fit to your specific use case? Here's our guide on choosing and optimizing LLMs for performance and cost.
RAG uses external resources to train models, fine-tuning involves further training on specialized datasets. Learn when to use each one and why
How to choose a proprietary LLM vs. self-hosting open-source. See use cases, requirements and benchmarks, and optimization tools for LLMs.
Effectively implement and scale gen AI while avoiding risk. See use cases, from R&D to automotive to the supply chain.
Learn to build gen AI pipelines that are modular, so they can support up-to-date LLM deployment and management
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.