Together AI AI technology page Top Builders

Explore the top contributors showcasing the highest number of Together AI AI technology page app submissions within our community.

Together AI: Powering AI Innovation

Together AI is AI cloud platform which drives AI innovation. It contributes to open-source research, empowering developers to deploy AI models.

General
AuthorTogether AI
TypeAI platform

Key Features

  • Unmatched performance: Its research and developments introduce advanced efficiencies in training and inference processes which grows along with user's requirements. The Together Inference Engine has the swiftest inference stack currently available.
  • High scalability: It is a horizontally scalable platform which is delivering peak performance based on user's traffic demands.
  • Rapid integration: Integrates into existing applications with minimal setup with its easy-to-use API.
  • Topnotch support: Their expert team is there to assist users in the preparation and optimization of datasets to ensure accuracy and providing support in training personalized AI models.

Start building with Together AI's products

Dive into the possible solutions from Together AI to ensure flawless building of your app. Explore the apps created with Together AI technology showcased during hackathons and innovation challenges!

List of Together AI's products

Together Inference

Together Inference is the fastest inference stack available, delivering speeds up to 3 times faster than competitors like TGI, vLLM, or other inference APIs such as Perplexity, Anyscale, or Mosaic ML. Run leading open-source models like Llama-2 with lightning-fast performance, all at a cost 6 times lower than GPT 3.5 Turbo when using Llama2-13B.

Together Custom Models

Together Custom Models is designed to assist you in training your own advanced AI model. You can use state-of-the-art optimizations for the better performance in the Together Training stack, such as FlashAttention-2. Once completed, the model belongs to you. Also, you will be able to maintain the whole ownership of the model and deploy it wherever you want to.

Together GPU Clusters

Together AI provides top-performing computing clusters designed for training and refining purposes. Their clusters come equipped with the lightning-fast Together Training stack, ensuring seamless operation. Additionally, their AI experts team of is readily available to offer any kind of assistance. With a renewal rate higher than 95%, Together GPU Clusters ensure reliability and performance.

System Requirements

Together AI is compatible with major operating systems, including Windows, macOS, and Linux. A minimum of 4 GB of RAM is recommended for optimal performance. Complimentary is having access to a GPU can which significantly enhances performance of model training.

Together AI AI technology page Hackathon projects

Discover innovative solutions crafted with Together AI AI technology page, developed by our community members during our engaging hackathons.

Synth Dev

Synth Dev

## Problem 1. AI coding assistants (Copilot, Cursor, Aider.chat) accelerate software development. 2. People typically code not by reading documentation but by asking Llama, ChatGPT, Claude, or other LLMs. 3. LLMs struggle to understand documentation as it requires reasoning. 4. New projects or updated documentation often get overshadowed by legacy code. ## Solution - To help LLMs comprehend new documentation, we need to generate a large number of usage examples. ## How we do it 1. Download the documentation from the URL and clean it by removing menus, headers, footers, tables of contents, and other boilerplate. 2. Analyze the documentation to extract main ideas, tools, use cases, and target audiences. 3. Brainstorm relevant use cases. 4. Refine each use case. 5. Conduct a human review of the code. 6. Organize the validated use cases into a dataset or RAG system. ## Tools we used https://github.com/kirilligum/synth-dev - **Restack**: To run, debug, log, and restart all steps of the pipeline. - **TogetherAI**: For LLM API and example usage. See: https://github.com/kirilligum/synth-dev/blob/main/streamlit_fastapi_togetherai_llama/src/functions/function.py - **Llama**: We used Llama 3.2 3b, breaking the pipeline into smaller steps to leverage a more cost-effective model. Scientific research shows that creating more data with smaller models is more efficient than using larger models. See: https://github.com/kirilligum/synth-dev/blob/main/streamlit_fastapi_togetherai_llama/src/functions/function.py - **LlamaIndex**: For LLM calls, prototyping, initial web crawling, and RAG. See: https://github.com/kirilligum/synth-dev/blob/main/streamlit_fastapi_togetherai_llama/src/functions/function.py

LinguaLink

LinguaLink

Lingualink is a digital health app that bridges language gaps in emergency medical settings, enhancing response times and care quality for non-English-speaking patients. Designed to transcribe low-resource languages into English, Lingualink allows triage nurses to quickly assess patient conditions who do not speak English efficiently, ensuring critical symptoms are accurately conveyed. In the US, 8.6% of the population faces language barriers in the ER, leading to potential treatment delays. Even a one-minute reduction in response time can save 10,000 lives annually, highlighting the urgent need for accessible translation. Lingualink operates with real-time transcription tailored to medical contexts, delivering precise, clinically informed translations for underrepresented languages in medical emergency settings. Cost-effective at $3,000 per month, Lingualink provides hospitals an affordable alternative to on-site or third-party translators. With a Total Addressable Market (TAM) of $2.64 billion, a Serviceable Available Market (SAM) of $1.32 billion, and a Serviceable Obtainable Market (SOM) of $132 million, our SaaS model targets US hospitals facing significant language barriers. Our competitive advantage includes rapid response, accuracy, and data-driven translations verified by medical research, making Lingualink a vital tool for ER staff. By reducing communication barriers, Lingualink enhances ER experiences for non-English speakers, helping to lower healthcare costs, accelerate treatment, and potentially save thousands of lives annually. Our app leverages a fine-tuned model trained on low-resource languages, enabling seamless, adaptive communication with patients in their native languages. This approach breaks down language barriers between medical staff and patients, ensuring that patients can comfortably discuss their health concerns in their preferred language, thereby improving the quality and accessibility of healthcare