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Description
Introducing the next iteration of our open-source large language model, this version features model weights along with initial code for the pretrained and fine-tuned Llama language models, which span from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been developed using an impressive 2 trillion tokens and offer double the context length compared to their predecessor, Llama 1. Furthermore, the fine-tuned models have been enhanced through the analysis of over 1 million human annotations. Llama 2 demonstrates superior performance against various other open-source language models across multiple external benchmarks, excelling in areas such as reasoning, coding capabilities, proficiency, and knowledge assessments. For its training, Llama 2 utilized publicly accessible online data sources, while the fine-tuned variant, Llama-2-chat, incorporates publicly available instruction datasets along with the aforementioned extensive human annotations. Our initiative enjoys strong support from a diverse array of global stakeholders who are enthusiastic about our open approach to AI, including companies that have provided valuable early feedback and are eager to collaborate using Llama 2. The excitement surrounding Llama 2 signifies a pivotal shift in how AI can be developed and utilized collectively.
Description
Rabbitt.AI is a platform for generative artificial intelligence aimed at assisting organizations in building, personalizing, and implementing AI solutions tailored to their own enterprise data. The platform emphasizes the importance of allowing companies to "own their AI and their data" by developing AI systems that cater to specific industries rather than depending exclusively on broad, generic models. It offers a range of tools and services that empower businesses to create custom large language models, optimize open-source AI models, and seamlessly incorporate generative AI features into their existing workflows. Furthermore, Rabbitt.AI leverages advanced methodologies such as Retrieval-Augmented Generation (RAG), reinforcement learning with human feedback, and mixture-of-agents architectures to enhance model accuracy and performance for particular business needs. Additionally, the platform includes interactive data annotation and intelligent labeling tools, enabling organizations to generate and manage the unique datasets required for effective training of their AI models. This comprehensive approach not only streamlines implementation but also ensures that companies can adapt their AI solutions as their needs evolve.
API Access
Has API
API Access
Has API
Integrations
1min.AI
Airtrain
Alpaca
AlphaCorp
Azure Marketplace
Chatterbox
DataChain
Firecrawl
Gopher
Groq
Integrations
1min.AI
Airtrain
Alpaca
AlphaCorp
Azure Marketplace
Chatterbox
DataChain
Firecrawl
Gopher
Groq
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
Meta
Founded
2004
Country
United States
Website
ai.meta.com/llama/
Vendor Details
Company Name
Rabbitt.AI
Country
United Kingdom
Website
rabbitt.ai/
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)