If you're looking for another Meta Llama alternative, Humanloop is worth a look. It's a platform for building and optimizing Large Language Models (LLMs) that's designed to address some of the pain points of LLM development, like slow workflows, manual evaluation and bad collaboration. Humanloop is a sandbox for developers, product managers and domain experts, with tools for prompt engineering, evaluation and model tuning. It supports several LLM providers and comes with Python and TypeScript SDKs for easy integration, so it's good for product teams and developers.
Another alternative is ThirdAI, which offers large language models and other AI technology without requiring special hardware. It's got tools for document intelligence, customer experience and generative AI for summarizing documents. ThirdAI is notable for its high performance on benchmark tests and has an interface designed to be easily integrated into existing workflows. It has tiered pricing, including a basic tier with core deep learning abilities, so it can be used in a variety of settings.
Google AI is another major contender. It's a broad platform that combines AI models and products to help people learn, create, work and compute more effectively. It includes the Gemini Ecosystem, generative AI abilities and access to AI research and insights. With tools like Google AI Studio, Firebase and Project IDX, developers can build AI-powered apps, and the service encourages responsible AI practices with a focus on safety and social benefit.
If you want something more specialized, Klu is a platform for building, deploying and optimizing generative AI apps using LLMs like GPT-4 and Llama 2. It supports several LLMs and offers features like fast iteration, built-in analytics and support for custom models. Klu's pricing tiers range from individuals to enterprise teams, so it can be used in a variety of settings to try to improve AI workflows.