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What is Llama 3.3?

The latest iteration in the Llama series, Llama 3.3, marks a notable leap forward in the realm of language models, designed to improve AI's abilities in both understanding and communication. It features enhanced contextual reasoning, more refined language generation, and state-of-the-art fine-tuning capabilities that yield remarkably accurate, human-like responses for a wide array of applications. This version benefits from a broader training dataset, advanced algorithms that allow for deeper comprehension, and reduced biases when compared to its predecessors. Llama 3.3 excels in various domains such as natural language understanding, creative writing, technical writing, and multilingual conversations, making it an invaluable tool for businesses, developers, and researchers. Furthermore, its modular design lends itself to adaptable deployment across specific sectors, ensuring consistent performance and flexibility even in expansive applications. With these significant improvements, Llama 3.3 is set to transform the benchmarks for AI language models and inspire further innovations in the field. It is an exciting time for AI development as this new version opens doors to novel possibilities in human-computer interaction.

What is Aquarium?

Aquarium's cutting-edge embedding technology adeptly identifies critical performance issues in your model while linking you to the necessary data for resolution. By leveraging neural network embeddings, you can reap the rewards of advanced analytics without the headaches of infrastructure management or troubleshooting embedding models. This platform allows you to seamlessly uncover the most urgent patterns of failure within your datasets. Furthermore, it offers insights into the nuanced long tail of edge cases, helping you determine which challenges to prioritize first. You can sift through large volumes of unlabeled data to identify atypical scenarios with ease. The incorporation of few-shot learning technology enables the swift initiation of new classes with minimal examples. The larger your dataset grows, the more substantial the value we can deliver. Aquarium is crafted to effectively scale with datasets comprising hundreds of millions of data points. Moreover, we provide dedicated solutions engineering resources, routine customer success meetings, and comprehensive user training to help our clients fully leverage our offerings. For organizations with privacy concerns, we also feature an anonymous mode, ensuring that you can utilize Aquarium without compromising sensitive information, thereby placing a strong emphasis on security. In conclusion, with Aquarium, you can significantly boost your model's performance while safeguarding the integrity of your data, ultimately fostering a more efficient and secure analytical environment.

Media

Media

Integrations Supported

Agenta
AiAssistWorks
Amazon Bedrock
Azure Marketplace
Batteries Included
Bolna
BrandRank.AI
Deasie
Diaflow
DuckDuckGoose AI Text Detection
Entry Point AI
Evertune
Firecrawl
GlobalGPT
Gopher
HubSpot AI Search Grader
PostgresML
PromptPal
SSSModel
Sonar

Integrations Supported

Agenta
AiAssistWorks
Amazon Bedrock
Azure Marketplace
Batteries Included
Bolna
BrandRank.AI
Deasie
Diaflow
DuckDuckGoose AI Text Detection
Entry Point AI
Evertune
Firecrawl
GlobalGPT
Gopher
HubSpot AI Search Grader
PostgresML
PromptPal
SSSModel
Sonar

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$1,250 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

www.llama.com/docs/model-cards-and-prompt-formats/llama3_3/

Company Facts

Organization Name

Aquarium

Company Website

www.aquariumlearning.com

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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