Research
Foundation Models
Spin up and start using Abacus.AIs foundational models to solve complex problems that involve language, vision and speech within minutes. Foundational models are large-scale models that are trained on billions of real-world examples and can process natural language, speech or images at the same level as humans if not better. Further, these models can easily be fine tuned to solve any specific task in your domain with performance comparable to a domain expert..
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SOLUTIONS
 
Language
Vision
Speech
Multi-Model
Generative Models
LANGUAGE
VISION
SPEECH
MULTI-MODEL
GENERATIVE MODELS

Emotion Detection

  • Trained on twitter data to detect emotions such as Anger, Joy, Amusement, etc
  • Get Social media pulse of your company.

Sentiment Detection

  • Trained on twitter data to classify tweets as positive, negative or neutral
  • Understand how customers are responding to a campaign

Translation

  • A model to translate between multiple languages including English, Spanish, French, German, etc
  • Translation models improves accuracy and reduces cost

Summarization

  • Summarize large volumes of text and extract insights efficiently
  • Reduces cost and manual effort to read large documents or articles

Zero Shot Classification

  • Check if any categories of interest are present in a given document
  • Reduces cost and effort as labeling is not required

NER

  • Check if any entities of interest are present in a given text
  • Automate back office tasks to reduce cost
LANGUAGE
VISION
SPEECH
MULTI-MODEL
GENERATIVE MODELS

Image Classification

  • Trained on 10M+ images and 20k+ classes to classify images
  • Easily identify and categorize images

Image Segmentation

  • Trained on more than 100k annotated images to identify pixels belonging to a class
  • Extremely useful for applications in diverse industries, especially healthcare

Zero Shot Image Classification

  • Combines NLP with Vision to check if any categories of interest are present in a given image
  • Reduces cost and effort as labeling is not required

Object Detection

  • Detect objects within an image using bounding boxes
  • Useful in security industry to scan for weapons or healthcare to detect tumors

Emotion Detection

  • Detect various emotions such as Anger, Joy, Amusement, etc
  • Useful for security interrogation or school behavior monitoring etc
LANGUAGE
VISION
SPEECH
MULTI-MODEL
GENERATIVE MODELS

Speech Recognition

  • Convert speech to text
  • Transcribe meetings, physician recordings, etc with improved accuracy

Emotion Recognition

  • Detect various emotions such as Anger, Joy, Amusement, etc
  • Understand customer emotions on support calls

Text to Speech

  • Converts text into speech for different voices
  • Build tools to read text, especially for people without vision
LANGUAGE
VISION
SPEECH
MULTI-MODEL
GENERATIVE MODELS

Text to Image

  • Generate detailed images based on textual descriptions
  • Based on Stable Diffusion Model
  • Produce high quality content at minimal cost

OCR Models

  • Extracts text from computer generated or handwritten images and documents
  • Based on TrOCR Model
  • Digitization of records to improve access and reduce costs

Image Captioning

  • Based on VIT and GPT2
  • Can be used for indexing images, building applications for visually imparied people e.t.c

Image Question and Answer

  • Based on Vilt and LayoutLM models
  • Search or extract intelligence from images accurately
LANGUAGE
VISION
SPEECH
MULTI-MODEL
GENERATIVE MODELS

Language Generation

  • Generates text to answer a question, complete a paragraph or other such tasks
  • Based on GPT3, Flan-T5
  • Generate marketing copies or articles efficiently

Image Generation

  • Generate detailed images based on textual descriptions
  • Based on Stable Diffusion Model
  • Produce high quality content at minimal cost

Code Generation

  • Generates code from natural language instructions
  • Based on Codegen model
  • Acts as a pair programmer to improve developer productivity and reduce errors

Music Generation

  • Generates novel music suited to your needs
  • Based on Harmony
  • Can be used by content creators as background score

With these models, you can get started without the need for any training. We use state of the art models such as T5, BERT, Wav2Vec, CLIP, WHISPER, RESNET, etc to pretrain the models for the tasks listed above

Benefits
Increase User Engagement and Revenue
Our AI engine will increase your user engagement by at least 30% with personalized recommendations.
Hyper-Personalized Recommendations
We generate recommendations that are truly personalized to individual preferences which means more user interaction and conversion.
Automated Pipelines and Retraining
Don't waste time in dealing with data hassles. We will automatically create your data pipelines and retrain your models.
Works For New Users
We use generative modeling to produce recommendations that means even with very little data about a particular user/item you won't have a cold start.
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