Related Products
|
||||||
About
CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time.
|
About
LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.
|
About
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma currently comes in two variants: a 4B multimodal version and a 27B text-only version. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma 4B is available in both pre-trained (suffix: -pt) and instruction-tuned (suffix -it) versions. The instruction-tuned version is a better starting point for most applications.
|
||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
||||
Audience
Individuals wanting a solution to generate code and optimize their coding tasks
|
Audience
Researchers and anyone wanting a solution to generate and improve their AI-generated content
|
Audience
Healthcare AI developers wanting a solution offering fine-tunable models for medical text and image comprehension tasks
|
||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
||||
API
Offers API
|
API
Offers API
|
API
Offers API
|
||||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
||||
Reviews/
|
Reviews/
|
Reviews/
|
||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
||||
Company InformationGoogle
United States
ai.google.dev/gemma/docs/codegemma
|
Company InformationLLaVA
llava-vl.github.io
|
Company InformationGoogle DeepMind
Founded: 2010
United Kingdom
deepmind.google/models/gemma/medgemma/
|
||||
Alternatives |
Alternatives |
Alternatives |
||||
|
|
|
|
||||
|
|
|
|||||
|
|
|
|
||||
|
|
|
|
||||
Categories |
Categories |
Categories |
||||
Integrations
C
C#
C++
Clojure
F#
GPT-4
GaiaNet
Gemma 3
Gemma 4
Google Cloud Platform
|
Integrations
C
C#
C++
Clojure
F#
GPT-4
GaiaNet
Gemma 3
Gemma 4
Google Cloud Platform
|
Integrations
C
C#
C++
Clojure
F#
GPT-4
GaiaNet
Gemma 3
Gemma 4
Google Cloud Platform
|
||||
|
|
|
|