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ease
features
design
support

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Description

BudgetML is an ideal solution for professionals looking to swiftly launch their models to an endpoint without investing excessive time, money, or effort into mastering the complex end-to-end process. We developed BudgetML in response to the challenge of finding a straightforward and cost-effective method to bring a model into production promptly. Traditional cloud functions often suffer from memory limitations and can become expensive as usage scales, while Kubernetes clusters are unnecessarily complex for deploying a single model. Starting from scratch also requires navigating a myriad of concepts such as SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, and backend servers, which can be overwhelming for the average data scientist. BudgetML directly addresses these hurdles, prioritizing speed, simplicity, and accessibility for developers. It is not intended for comprehensive production environments but serves as a quick and economical way to set up a server efficiently. Ultimately, BudgetML empowers users to focus on their models without the burden of unnecessary complications.

Description

Literal AI is a collaborative platform crafted to support engineering and product teams in the creation of production-ready Large Language Model (LLM) applications. It features an array of tools focused on observability, evaluation, and analytics, which allows for efficient monitoring, optimization, and integration of different prompt versions. Among its noteworthy functionalities are multimodal logging, which incorporates vision, audio, and video, as well as prompt management that includes versioning and A/B testing features. Additionally, it offers a prompt playground that allows users to experiment with various LLM providers and configurations. Literal AI is designed to integrate effortlessly with a variety of LLM providers and AI frameworks, including OpenAI, LangChain, and LlamaIndex, and comes equipped with SDKs in both Python and TypeScript for straightforward code instrumentation. The platform further facilitates the development of experiments against datasets, promoting ongoing enhancements and minimizing the risk of regressions in LLM applications. With these capabilities, teams can not only streamline their workflows but also foster innovation and ensure high-quality outputs in their projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Docker
Google Cloud Platform
APIFuzzer
Claude
Codestral
FastAPI
Gemini 1.5 Pro
Gemini 2.0 Flash
Hugging Face
Kubernetes
Llama 2
LlamaIndex
Mathstral
Mistral 7B
Mistral AI
Mixtral 8x7B
OAuth
Pixtral Large
TypeScript
ZenML

Integrations

Docker
Google Cloud Platform
APIFuzzer
Claude
Codestral
FastAPI
Gemini 1.5 Pro
Gemini 2.0 Flash
Hugging Face
Kubernetes
Llama 2
LlamaIndex
Mathstral
Mistral 7B
Mistral AI
Mixtral 8x7B
OAuth
Pixtral Large
TypeScript
ZenML

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

ebhy

Website

github.com/ebhy/budgetml

Vendor Details

Company Name

Literal AI

Country

United States

Website

www.literalai.com

Product Features

Alternatives

Alternatives

DeepEval Reviews

DeepEval

Confident AI