Question: I need help building and deploying a large-scale generative AI project, is there a platform that offers expert guidance and support?

If you're looking for a platform that provides expert guidance and support for building and deploying large-scale generative AI projects, LastMile AI is a great option. It's a full-stack developer platform that's designed to help engineers productionize generative AI applications with confidence. With tools like Auto-Eval for automated hallucination detection, RAG Debugger for better performance, and Consult AI Expert for help from a team of engineers and ML researchers, it's got a lot of tools to help you overcome the challenges of generative AI. It also supports a range of AI models for text, image and audio modalities, so it's got a lot of flexibility for a wide range of tasks.

Another option worth considering is Klu, which is designed to build, deploy and optimize generative AI applications using large language models like GPT-4 and Llama 2. Klu supports multiple LLMs and has features like automated prompt engineering, version control and performance monitoring. It's designed to help AI engineers and teams work more efficiently, iterating and optimizing on the fly based on model, prompt and user feedback. The platform is designed to work for everything from small projects to enterprise-scale applications.

Anyscale is another strong option, providing a platform for developing, deploying and scaling AI applications. It supports a wide range of AI models and has features like workload scheduling, cloud flexibility and smart instance management. It's built on the open-source Ray framework, which means Anyscale has native integrations with popular IDEs and persists storage, so it's easier to run, debug and test code at scale. The platform also has strong security and governance features, making it a good option for enterprise use cases.

If you want to manage and optimize LLM applications, Humanloop is a collaborative playground for developers, product managers and domain experts. The platform includes a collaborative prompt management system, evaluation and monitoring suite, and tools for connecting private data and fine-tuning models. It supports popular LLM providers and offers SDKs for easy integration, so it's a good option for building and refining AI features efficiently.