he Brief

‍

Baseplate is a platform that simplifies the process of fine-tuning and managing LLMs, optimizing them with deeper insights.

Co-Founder: Ani Gottiparthy

Co-Founder: Andrew Luo

Investors: Y Combinator (W23)

History: Just Launched

‍

Baseplate, the no-code platform for optimizing and managing Large Language Models (LLMs), has announced its limited beta release.

‎LLMs, such as GPT-3, have gained popularity due to their ability to generate human-like text, but they can be difficult to understand and optimize for developers and users. Baseplate aims to solve this problem by providing a simple platform for fine tuning, testing, and deploying LLMs, as well as collecting user feedback for model reinforcement.

‎Baseplate currently supports all of OpenAI's language models, with plans to integrate with Cohere, Anthropic, and AI21 Labs. In addition to these features, the platform also offers valuable insights into LLM performance, including accuracy against test data sets, user ratings of model completions, performance comparisons between different models, and recommendations for improving training data & temperature settings.

‎Interested users can request access to the limited beta now by visiting www.trybaseplate.io or contacting the company directly. Give them a follow on Twitter!