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What is Tune Chat?

Tune Chat empowers users to generate text, engage with PDFs, and brainstorm creative concepts effortlessly. Leading the charge in integrating generative AI into business practices, Tune AI provides a wide range of user-friendly prompt templates tailored for different content creation purposes. Users can conveniently integrate their brand's unique voice into Tune Chat, promoting uniformity in their communications. By uploading various documents and asking questions, users can obtain prompt, relevant responses to their specific inquiries. The platform offers access to a broad array of cutting-edge open-source models that can be customized to meet unique demands. Additionally, Tune Chat performs web searches to ensure users receive the latest information pertaining to their questions. Whether users are seeking answers or participating in interactive dialogues with AI, the application guarantees a smooth and engaging experience. With a growing community of over 370,000 users reaping its benefits, Tune Chat facilitates text and image creation, coding support, and idea generation, having already supported more than 1.82 million conversations. Its intuitive design, combined with powerful open-source language models, allows everyone to effectively take advantage of AI's capabilities. As a groundbreaking tool, Tune Chat significantly enhances creativity and efficiency across diverse industries while continuously evolving to meet user needs.

What is Llama 2?

We are excited to unveil the latest version of our open-source large language model, which includes model weights and initial code for the pretrained and fine-tuned Llama language models, ranging from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been crafted using a remarkable 2 trillion tokens and boast double the context length compared to the first iteration, Llama 1. Additionally, the fine-tuned models have been refined through the insights gained from over 1 million human annotations. Llama 2 showcases outstanding performance compared to various other open-source language models across a wide array of external benchmarks, particularly excelling in reasoning, coding abilities, proficiency, and knowledge assessments. For its training, Llama 2 leveraged publicly available online data sources, while the fine-tuned variant, Llama-2-chat, integrates publicly accessible instruction datasets alongside the extensive human annotations mentioned earlier. Our project is backed by a robust coalition of global stakeholders who are passionate about our open approach to AI, including companies that have offered valuable early feedback and are eager to collaborate with us on Llama 2. The enthusiasm surrounding Llama 2 not only highlights its advancements but also marks a significant transformation in the collaborative development and application of AI technologies. This collective effort underscores the potential for innovation that can emerge when the community comes together to share resources and insights.

Media

Media

Integrations Supported

Airtrain
Chatterbox
Cyte
Deasie
DeepEval
Entry Point AI
Fleak
GaiaNet
Gopher
Graydient AI
Groq
HelpNow Agentic AI Platform
LM Studio
Medical LLM
Microsoft Foundry Models
Msty
Ollama
RankGPT
Revere
Verta

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

NimbleBox

Date Founded

2015

Company Location

United States

Company Website

chat.tune.app/

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com/llama/

Categories and Features

AI Chatbots

Not specified

AI Tools

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Small Language Models

Not specified

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