Lamini

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AI ディレクトリ : AI Code Assistant, AI Developer Docs, AI Developer Tools, AI Product Description Generator, Large Language Models (LLMs)

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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's Core Features

Generative AI and machine learning

Automation of workflows

Streamlined software development process

Increased productivity

Customized, private models

Complete data privacy and security

Lamini's Use Cases

Enterprise software development

Workflow automation

Software development process optimization

Increased productivity in software development

Custom model training and deployment

Data privacy and security in model deployment

FAQ from Lamini

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:n1. Sign up for a Lamini account.n2. Connect your enterprise data warehouse to Lamini platform.n3. Use Lamini's powerful Python library, REST APIs, or user interfaces to train, evaluate, and deploy customized, private models.n4. Leverage Lamini's AI capabilities to automate workflows and optimize software development processes.n5. Maintain complete control of your data privacy and security by deploying custom models privately on premise or in your VPC.

What makes Lamini different from using a single provider's APIs off the shelf?

There are three major reasons:n1. Data privacy: Lamini allows you to use your own private data in your secure environment.n2. 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.n3. 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.

What does the LLM platform do?

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.

What LLMs does the LLM platform use under the hood?

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.

Can I export the model and run it myself?

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.

How expensive is it to use Lamini to build and use my model?

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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