Apps 2023-08-14
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Customizable completion generation for developers.
Gradient.AI website
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Gradient is a powerful tool that provides everyday AI capabilities through simple web APIs. It allows users to fine-tune and generate completions on state-of-the-art open source models like Llama2 with just a single line of code.

With Gradient, users can customize and deploy their own private LLMs (Language Model Models) via a web API, ensuring complete control and privacy over their models.

The tool supports multiple programming languages such as JavaScript, Python, and Java, making it accessible to developers using various tech stacks.One of the key features of Gradient is its ability to enable fine-tuning of models, allowing users to personalize the models for their specific use cases by defining the desired data and selecting the base model.

The tool takes care of the rest, automating the process and simplifying model development. Additionally, Gradient's web APIs are backed by state-of-the-art open-source models, including highly powerful and unlocked models like Llama2 70B, Nous Hermes 2, and LlamaCoder.Unlike other AI development platforms, Gradient eliminates the need for infrastructure management and deployment complexities.

Users can seamlessly integrate private LLMs into their applications with a single API call, without worrying about deployment hassles or orchestrating infrastructure.

Overall, Gradient empowers developers to build and own their AI tools and applications while leveraging advanced AI capabilities.


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Gradient.AI was manually vetted by our editorial team and was first featured on August 29th 2023.
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Pros and Cons


Customizable completion generation
Supports multiple programming languages
Facilitates private LLMs
Automates model development
Eliminates infrastructure management
Single line of code deployment
State-of-the-art open-source models
Fine-tuning capabilities
Personalized models
API backed models
Out-of-the-box Production Grade
Exposes unlocked models
SOC2 compliant applications
Javascript, Python, and Java support
Highly powerful OSS models
Optimal for high frequency, low latency interactions
Model supports narrative and reasoning capabilities
User ownership over models
Single API call integration


Limited to web API
No infrastructure control
No GUI interface
Limited model selection
Single line coding restriction
Possibly complex fine-tuning
Only supports a few languages
SOC2 compliance issues
No detailed documentation available


What is Gradient.AI?
What is customizable completion generation in Gradient?
How can I fine-tune models with Gradient?
How can I generate completions on models like Llama2 using Gradient?
What open source models does Gradient support?
Can I deploy my own Language Model Models (LLMs) using Gradient?
Which programming languages does Gradient support?
How does Gradient ensure privacy and control over models?
What kind of APIs does Gradient provide?
What unique features does Gradient offer compared to other AI development platforms?
How does Gradient simplify model deployment and infrastructure management?
Can I integrate LLMs into applications using Gradient's API?
Can Gradient help in automating the process of model development?
What are some examples of state-of-the-art open-source models backed by Gradient's web APIs?
How can Gradient eliminate the need for managing infrastructure?
How can I use Gradient to build my own AI tools and applications?
What type of models can I build and control with Gradient?
Does Gradient offer any SOC2 compliant AI applications?
Does Gradient provide any CLI and SDK for Javascript, Python, or Java?
What unique abilities do models like Llama2 70B, Nous Hermes 2, and LlamaCoder offer?

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