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Description

LearnLM is a novel, experimental model tailored for specific tasks, developed to align with the principles of learning science for enhanced teaching and learning experiences. It is adept at following system prompts such as "You are an expert tutor," and promotes active engagement in learning by facilitating practice and offering timely feedback. By effectively managing cognitive load, the model delivers pertinent and well-organized information through various modalities, while also adjusting to the individual learner’s objectives and requirements, grounding its responses in suitable resources. Furthermore, LearnLM encourages curiosity, sustaining learner motivation throughout their educational pursuits, and fosters metacognitive skills by assisting learners in planning, monitoring, and reflecting on their academic progress. This groundbreaking model is currently accessible for experimentation within AI Studio, allowing educators and researchers to explore its potential in real-world applications. Ultimately, LearnLM represents a significant step forward in the integration of AI within educational contexts.

Description

Recent breakthroughs in natural language processing, comprehension, and generation have been greatly influenced by the development of large language models. This research presents a system that employs Ascend 910 AI processors and the MindSpore framework to train a language model exceeding one trillion parameters, specifically 1.085 trillion, referred to as PanGu-{\Sigma}. This model enhances the groundwork established by PanGu-{\alpha} by converting the conventional dense Transformer model into a sparse format through a method known as Random Routed Experts (RRE). Utilizing a substantial dataset of 329 billion tokens, the model was effectively trained using a strategy called Expert Computation and Storage Separation (ECSS), which resulted in a remarkable 6.3-fold improvement in training throughput through the use of heterogeneous computing. Through various experiments, it was found that PanGu-{\Sigma} achieves a new benchmark in zero-shot learning across multiple downstream tasks in Chinese NLP, showcasing its potential in advancing the field. This advancement signifies a major leap forward in the capabilities of language models, illustrating the impact of innovative training techniques and architectural modifications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Google AI Studio
PanGu Chat

Integrations

Google AI Studio
PanGu Chat

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/gemini-api/docs/learnlm

Vendor Details

Company Name

Huawei

Founded

1987

Country

China

Website

huawei.com

Product Features

Product Features

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