Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Introducing a remarkable family of compact language models (SLMs) that deliver exceptional performance while being cost-effective and low in latency. These models are designed to enhance AI functionalities, decrease resource consumption, and promote budget-friendly generative AI applications across various platforms. They improve response times in real-time interactions, navigate autonomous systems, and support applications that demand low latency, all critical to user experience. Phi-3 can be deployed in cloud environments, edge computing, or directly on devices, offering unparalleled flexibility for deployment and operations. Developed in alignment with Microsoft AI principles—such as accountability, transparency, fairness, reliability, safety, privacy, security, and inclusiveness—these models ensure ethical AI usage. They also excel in offline environments where data privacy is essential or where internet connectivity is sparse. With an expanded context window, Phi-3 generates outputs that are more coherent, accurate, and contextually relevant, making it an ideal choice for various applications. Ultimately, deploying at the edge not only enhances speed but also ensures that users receive timely and effective responses.
API Access
Has API
API Access
Has API
Integrations
Azure AI Services
Azure OpenAI Service
Cake AI
Database Mart
Falcon-7B
Google AI Studio
LM-Kit.NET
Molmo
Msty
NativeMind
Integrations
Azure AI Services
Azure OpenAI Service
Cake AI
Database Mart
Falcon-7B
Google AI Studio
LM-Kit.NET
Molmo
Msty
NativeMind
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
Founded
1998
Country
United States
Website
ai.google.dev/gemini-api/docs/learnlm
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/phi-3