Fragaria
Fragaria is a powerful and flexible Chain of Thought (CoT) reasoning API that leverages various Language Model (LLM) providers and incorporates Reinforcement Learning (RL) techniques to solve complex problems and answer intricate questions. Named after the botanical genus of strawberries, Fragaria pays homage to the famous “How many ‘r’s in strawberry?” problem, symbolizing its ability to tackle both simple and complex queries with equal finesse.
Oct 29, 2024
Fragaria: From 'r's in Strawberry to Complex Problem-Solving AI
Introducing Fragaria, an advanced Chain of Thought (CoT) reasoning API that combines LLM capabilities with Reinforcement Learning to tackle complex problem-solving challenges.
Mar 19, 2024
Curriculum generation using Autoencoder based continuous optimization
Abstract This paper presents a novel approach to curriculum learning that leverages autoencoder-based continuous optimization for generating effective training sequences. Curriculum learning, which structures the training process from easier to harder examples, has shown promise in improving model performance and convergence.
Jun 1, 2021
One Shot Audio to Animated Video Generation
We present a novel approach for generating animated videos from single images using audio as the driving signal. Our method allows for the creation of realistic talking head animations by combining a single source image with an audio input.
Feb 1, 2021
Fed-Focal Loss for Imbalanced Data Classification in Federated Learning
A presentation on applying Focal Loss to Federated Learning for handling imbalanced data classification
Jan 8, 2021