diff --git a/README.md b/README.md index 07d5fad1e6..22587fd132 100644 --- a/README.md +++ b/README.md @@ -21,11 +21,11 @@ TensorOpera® AI (https://TensorOpera.ai) is the next-gen cloud service for LLMs Highly integrated with TensorOpera open source library, TensorOpera AI provides holistic support of three interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds. -A typical workflow is showing in figure above. When developer wants to run a pre-built job in Studio or Job Store, TensorOpera®Launch swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. When running the job, TensorOpera®Launch orchestrates the compute plane in different cluster topologies and configuration so that any complex AI jobs are enabled, regardless model training, deployment, or even federated learning. TensorOpera®Open Source is unified and scalable machine learning library for running these AI jobs anywhere at any scale. +A typical workflow is shown in the figure above. When developer wants to run a pre-built job in Studio or Job Store, TensorOpera®Launch swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. When running the job, TensorOpera®Launch orchestrates the compute plane in different cluster topologies and configuration so that any complex AI jobs are enabled, regardless of model training, deployment, or even federated learning. TensorOpera®Open Source is unified and scalable machine learning library for running these AI jobs anywhere at any scale. In the MLOps layer of TensorOpera AI - **TensorOpera® Studio** embraces the power of Generative AI! Access popular open-source foundational models (e.g., LLMs), fine-tune them seamlessly with your specific data, and deploy them scalably and cost-effectively using the TensorOpera Launch on GPU marketplace. -- **TensorOpera® Job Store** maintains a list of pre-built jobs for training, deployment, and federated learning. Developers are encouraged to run directly with customize datasets or models on cheaper GPUs. +- **TensorOpera® Job Store** maintains a list of pre-built jobs for training, deployment, and federated learning. Developers are encouraged to run directly with customized datasets or models on cheaper GPUs. In the scheduler layer of TensorOpera AI - **TensorOpera® Launch** swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. It supports a range of compute-intensive jobs for generative AI and LLMs, such as large-scale training, serverless deployments, and vector DB searches. TensorOpera Launch also facilitates on-prem cluster management and deployment on private or hybrid clouds. @@ -37,5 +37,5 @@ In the Compute layer of TensorOpera AI - **TensorOpera® Open Source** is unified and scalable machine learning library for running these AI jobs anywhere at any scale. # Contributing -FedML embraces and thrive through open-source. We welcome all kinds of contributions from the community. Kudos to all of our amazing contributors! +FedML embraces and thrives through open-source. We welcome all kinds of contributions from the community. Kudos to all of our amazing contributors! FedML has adopted [Contributor Covenant](https://github.com/FedML-AI/FedML/blob/master/CODE_OF_CONDUCT.md).