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Description
Our advanced model is capable of comprehending and analyzing all forms of observability data, including unstructured information, enabling you to swiftly restore the health of software and systems. It has been designed to handle and address numerous critical incidents across diverse architectural frameworks, providing enterprise developers with access to unparalleled debugging expertise. This model specifically targets one of the most challenging aspects of software engineering: debugging issues that arise in production. It functions effectively without any prior training and is compatible with any observability data platform. Additionally, it can adapt based on user feedback and refine its approach by learning from previous incidents and patterns specific to your environment while ensuring that your data remains secure. Consequently, this allows you to tackle critical incidents with Flip in a matter of seconds, optimizing your response time and increasing operational efficiency. With such capabilities, you can significantly enhance the reliability of your systems.
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.
API Access
Has API
API Access
Has API
Integrations
AI4Chat
Amazon Bedrock
Batteries Included
BlueFlame AI
Bolna
BrandRank.AI
Browser Use
Code Llama
Evertune
Featherless
Integrations
AI4Chat
Amazon Bedrock
Batteries Included
BlueFlame AI
Bolna
BrandRank.AI
Browser Use
Code Llama
Evertune
Featherless
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Flip AI
Founded
2021
Country
United States
Website
www.flip.ai/
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.meta.com/llama/
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports