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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilize our automated insights and customizable metrics to assess, enhance, and perpetually refine your GenAI models. Future AGI streamlines the evaluation of AI model outputs by automatically scoring them, which removes the necessity for manual quality assurance assessments. As a result, your QA team can redirect their efforts toward more strategic initiatives, potentially boosting their efficiency and capacity by as much as tenfold. This ensures that your AI-driven customer interactions remain consistently positive and aligned with your brand identity. By optimizing your models, you can highlight the most pertinent and engaging content tailored to each user. Additionally, you can fine-tune your models to produce the most precise summaries for your audience. Future AGI empowers you to establish bespoke metrics that assess your AI model's accuracy according to the specific priorities of your use case. You can articulate your essential metrics in natural language, providing your QA team with greater adaptability and authority to evaluate model performance. This approach guarantees that your assessments are in harmony with your business goals, transcending conventional metrics such as relevance while promoting a more comprehensive evaluation framework. Embracing this method not only enhances model performance but also fosters a culture of continuous improvement within your organization.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hugging Face Yes 
Microsoft Azure Yes 
OpenAI Yes 
Amazon Web Services (AWS) No 
Docker No 
Gemini 1.5 Pro No 
Gemini Nano No 
Gemini Pro No 
GraphQL No 
LangChain No 
Ministral 3B No 
Ministral 8B No 
Mistral 7B No 
Mistral AI No 
Mistral NeMo No 
Mixtral 8x22B No 
Mixtral 8x7B No 
Python No 
TypeScript No 

Integrations

Hugging Face Yes 
Microsoft Azure Yes 
OpenAI Yes 
Amazon Web Services (AWS) Yes 
Docker Yes 
Gemini 1.5 Pro Yes 
Gemini Nano Yes 
Gemini Pro Yes 
GraphQL Yes 
LangChain Yes 
Ministral 3B Yes 
Ministral 8B Yes 
Mistral 7B Yes 
Mistral AI Yes 
Mistral NeMo Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
Python Yes 
TypeScript Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Future AGI

Founded

2024

Country

United States

Website

www.futureagi.com

Vendor Details

Company Name

Literal AI

Country

United States

Website

www.literalai.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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