The emergence of foundation models has significantly lowered the barriers to applying AI to everyday problems, transforming the way organizations consume, customize and build AI-enabled applications. We are also seeing the emergence of a new persona, the AI Builder, who is in need of dedicated tooling to harness the power of LLMs while mitigating its associated risks.

In this demonstration, we present the Big AI Models (BAM) Laboratory, an experimental platform designed to cater to the specific needs of AI builders. Initially created over a year ago to address the unique challenge of hosting LLMs with 100B+ parameters, the BAM Laboratory has evolved to serve thousands of internal AI builders and researchers throughout the AI application development lifecycle. 

Some of its key current areas of incubation include, improving the model selection experience by recommending the right prompt for their use case, driving better alignment of models through tuning on human feedback, and creating AI guardrails to safeguard applications from LLM-related risks (such as Hate/Profanity/Abuse, Hallucination, Social Bias, etc).