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Description

Amazon Titan consists of a collection of sophisticated foundation models from AWS, aimed at boosting generative AI applications with exceptional performance and adaptability. Leveraging AWS's extensive expertise in AI and machine learning developed over 25 years, Titan models cater to various applications, including text generation, summarization, semantic search, and image creation. These models prioritize responsible AI practices by integrating safety features and fine-tuning options. Additionally, they allow for customization using your data through Retrieval Augmented Generation (RAG), which enhances accuracy and relevance, thus making them suitable for a wide array of both general and specialized AI tasks. With their innovative design and robust capabilities, Titan models represent a significant advancement in the field of artificial intelligence.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock Yes 
AI-FLOW No 
AICamp No 
Agenta No 
Code Llama No 
DataChain No 
Deasie No 
Decopy AI No 
Gopher No 
Groq No 
HelpNow Agentic AI Platform No 
Jspreadsheet No 
LM Studio No 
Odyssey No 
PostgresML No 
Revere No 
Runpod No 
SectorFlow No 
Unify AI No 
Waveloom No 

Integrations

Amazon Bedrock Yes 
AI-FLOW Yes 
AICamp Yes 
Agenta Yes 
Code Llama Yes 
DataChain Yes 
Deasie Yes 
Decopy AI Yes 
Gopher Yes 
Groq Yes 
HelpNow Agentic AI Platform Yes 
Jspreadsheet Yes 
LM Studio Yes 
Odyssey Yes 
PostgresML Yes 
Revere Yes 
Runpod Yes 
SectorFlow Yes 
Unify AI Yes 
Waveloom Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/bedrock/amazon-models/titan/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com/llama/

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