large language models, such as Llama 2, locally.ğŸ“„ï¸� OpaquePromptsOpaquePrompts is a service that enables applications to leverage the power of language models without compromising user privacy. Designed for composability and ease of integration into existing applications and services, OpaquePrompts is consumable via a simple Python library as well as through LangChain. Perhaps more importantly, OpaquePrompts leverages the power of confidential computing to ensure that even the OpaquePrompts service itself cannot access the data it is protecting.ğŸ“„ï¸� OpenAIOpenAI offers a spectrum of models with different levels of power suitable for different tasks.ğŸ“„ï¸� OpenLLMğŸ¦¾ OpenLLM is an open platform for operating large language models (LLMs) in production. It enables developers to easily run inference with any open-source LLMs, deploy to the cloud or on-premises, and build powerful AI apps.ğŸ“„ï¸� OpenLMOpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP.ğŸ“„ï¸� PetalsPetals runs 100B+ language models at home, BitTorrent-style.ğŸ“„ï¸� PipelineAIPipelineAI allows you to run your ML models at scale in the cloud. It also provides API access to several LLM models.ğŸ“„ï¸� PredibasePredibase allows you to train, fine-tune, and deploy any ML modelâ€”from linear regression to large language model.ğŸ“„ï¸� Prediction GuardBasic LLM usageğŸ“„ï¸� PromptLayer OpenAIPromptLayer is the first platform that allows you to track, manage, and share your GPT prompt engineering. PromptLayer acts a middleware between your code and OpenAIâ€™s python library.ğŸ“„ï¸� RELLMRELLM is a library that wraps local Hugging Face pipeline models for structured decoding.ğŸ“„ï¸� ReplicateReplicate runs machine learning models in the cloud. We have a library of open-source models that you can run with a few lines of code. If you're building your own machine learning models, Replicate makes it easy to deploy them at scale.ğŸ“„ï¸�
Features (natively supported)
Features (natively supported) ->: large language models, such as Llama 2, locally.ğŸ“„ï¸� OpaquePromptsOpaquePrompts is a service that enables applications to leverage the power of language models without compromising user privacy. Designed for composability and ease of integration into existing applications and services, OpaquePrompts is consumable via a simple Python library as well as through LangChain. Perhaps more importantly, OpaquePrompts leverages the power of confidential computing to ensure that even the OpaquePrompts service itself cannot access the data it is protecting.ğŸ“„ï¸� OpenAIOpenAI offers a spectrum of models with different levels of power suitable for different tasks.ğŸ“„ï¸� OpenLLMğŸ¦¾ OpenLLM is an open platform for operating large language models (LLMs) in production. It enables developers to easily run inference with any open-source LLMs, deploy to the cloud or on-premises, and build powerful AI apps.ğŸ“„ï¸� OpenLMOpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP.ğŸ“„ï¸� PetalsPetals runs 100B+ language models at home, BitTorrent-style.ğŸ“„ï¸� PipelineAIPipelineAI allows you to run your ML models at scale in the cloud. It also provides API access to several LLM models.ğŸ“„ï¸� PredibasePredibase allows you to train, fine-tune, and deploy any ML modelâ€”from linear regression to large language model.ğŸ“„ï¸� Prediction GuardBasic LLM usageğŸ“„ï¸� PromptLayer OpenAIPromptLayer is the first platform that allows you to track, manage, and share your GPT prompt engineering. PromptLayer acts a middleware between your code and OpenAIâ€™s python library.ğŸ“„ï¸� RELLMRELLM is a library that wraps local Hugging Face pipeline models for structured decoding.ğŸ“„ï¸� ReplicateReplicate runs machine learning models in the cloud. We have a library of open-source models that you can run with a few lines of code. If you're building your own machine learning models, Replicate makes it easy to deploy them at scale.ğŸ“„ï¸�