Lamini
Lamini is an AI platform that streamlines enterprise software development with generative AI.
(4.0)
- Added on
- May 13 2023
- Monthly Visitors
- 90.6K
Description
What is Lamini?
Lamini is an AI-powered LLM platform for enterprise software development. It allows developers to automate workflows, streamline the software development process, and increase productivity using generative AI and machine learning.
How to use Lamini?
To use Lamini, developers can follow these steps: 1. Sign up for a Lamini account. 2. Connect your enterprise data warehouse to Lamini platform. 3. Use Lamini's powerful Python library, REST APIs, or user interfaces to train, evaluate, and deploy customized, private models. 4. Leverage Lamini's AI capabilities to automate workflows and optimize software development processes. 5. Maintain complete control of your data privacy and security by deploying custom models privately on premise or in your VPC.
Lamini Core Features
- Generative AI and machine learning
- Automation of workflows
- Streamlined software development process
- Increased productivity
- Customized, private models
- Complete data privacy and security
FAQ from Lamini
There are three major reasons: 1. Data privacy: Lamini allows you to use your own private data in your secure environment. 2. Ownership and Flexibility: With Lamini, you can own the LLMs you train and easily swap out models as new ones become available. This allows you to build internal AI expertise and infrastructure while getting a big lift. 3. Control (cost, latency, throughput): Lamini gives you more control over the cost and latency of the model. You can customize these parameters to suit your engineering team's needs.
The LLM platform runs and optimizes LLMs. It incorporates the latest technologies and research, including fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization. It leverages models such as GPT-3 and ChatGPT to make LLMs perform at their best.
The LLM platform builds on the latest generation of models, including any LLM on HuggingFace and OpenAI's models. The choice of models depends on the specific use cases and data constraints of each customer. It ensures that the best models are used to meet the needs of the developers.
Yes, you can deploy the LLM to any cloud service or on-premise environment. This includes setting up scaled inference for running the LLM in your own infrastructure. You have the option to export the weights from the Lamini platform and host the LLM yourself.
Lamini offers a free tier for training small LLMs. For enterprise customers, please refer to our contact page for pricing information. Enterprise customers have the advantage of downloading the model weights and have no limitations on model size and type, with control over throughput and latency.
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