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features
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support

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Description

Gemini 2.0 Flash-Lite represents the newest AI model from Google DeepMind, engineered to deliver an affordable alternative while maintaining high performance standards. As the most budget-friendly option within the Gemini 2.0 range, Flash-Lite is specifically designed for developers and enterprises in search of efficient AI functions without breaking the bank. This model accommodates multimodal inputs and boasts an impressive context window of one million tokens, which enhances its versatility for numerous applications. Currently, Flash-Lite is accessible in public preview, inviting users to investigate its capabilities for elevating their AI-focused initiatives. This initiative not only showcases innovative technology but also encourages feedback to refine its features further.

Description

LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

C++ Yes 
Java Yes 
Kotlin Yes 
Python Yes 
C Yes 
C# Yes 
CSS Yes 
Clojure Yes 
F# Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
HTML Yes 
JAX No 
Julia Yes 
Objective-C No 
SQL Yes 
Scala Yes 
TensorFlow No 
TypeScript Yes 
Visual Basic Yes 

Integrations

C++ Yes 
Java Yes 
Kotlin Yes 
Python Yes 
C No 
C# No 
CSS No 
Clojure No 
F# No 
Gemini Enterprise No 
Gemini Enterprise Agent Platform No 
HTML No 
JAX Yes 
Julia No 
Objective-C Yes 
SQL No 
Scala No 
TensorFlow Yes 
TypeScript No 
Visual Basic No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

deepmind.google/technologies/gemini/flash-lite/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge/litert

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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