Together AI

Together AI

Software Development

San Francisco, California 34,203 followers

The future of AI is open-source. Let's build together.

About us

Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society.

Website
https://together.ai
Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2022
Specialties
Artificial Intelligence, Cloud Computing, LLM, Open Source, and Decentralized Computing

Locations

  • Primary

    251 Rhode Island St

    Suite 205

    San Francisco, California 94103, US

    Get directions

Employees at Together AI

Updates

  • View organization page for Together AI, graphic

    34,203 followers

    🚀 Announcing the launch of Llama 3.2 and Llama Stack on Together AI, in partnership with AI at Meta. 🎉 We are excited to offer free access to the Llama 3.2 vision model for developers to build and innovate with open source AI. Start building with the Llama-Vision-Free model today: 👉 https://lnkd.in/gWxwdaVd ▶ What we are launching: - Free Llama 3.2 Vision Model (11B): Develop and experiment with our high-quality Llama-Vision-Free endpoint for multimodal tasks. - Together Turbo Inference Endpoints (11B, 90B): High performance and accuracy for tasks like image captioning, visual question answering, and image-text retrieval. - New Llama Stack APIs: Standardized APIs to simplify building agentic and retrieval-augmented generation (RAG) conversational apps. ▶ Unlock powerful use cases: - Interactive Agents: Build AI agents that process both image and text inputs Image Captioning: Create high-quality image descriptions for e-commerce and digital accessibility - Visual Search: Enable users to search via images, enhancing search efficiency for retail and e-commerce ▶ Industry applications: - Healthcare: Accelerate medical image analysis for faster diagnostics Retail & E-commerce: Revolutionize shopping with image-based search and personalized recommendations - Finance & Legal: Streamline workflows by analyzing visual and textual content to optimize contract reviews and audits 💡 Check out napkins.dev: Our open-source demo app uses Llama 3.2 vision to transform sketches and wireframes into React code! Try it out at https://napkins.dev 🔧 Get started today: Experiment with the Llama-Vision-Free endpoint, or build for production with Llama 3.2 Together Turbo endpoints. 🌟 Read more in the blog https://lnkd.in/gDfmXxzu

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  • View organization page for Together AI, graphic

    34,203 followers

    📢 Excited to announce our upcoming webinar on November 6th, at 9AM PT: on"How We Built LlamaCoder (400k Users) – a Full-Stack AI App with Next.js"! Join Hassan El Mghari from our Dev Rel team as he dives into the story behind LlamaCoder, an open-source code generation tool with 400k users and 3k stars on GitHub. He’ll share exactly how he built it a single weekend, scaled it, and tips on creating your own full-stack AI apps with Next.js. Don’t miss out! Click the link to RSVP 👉https://lu.ma/euvemy0q

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  • View organization page for Together AI, graphic

    34,203 followers

    Join Hassan El Mghari from the Together AI Dev Rel team as he goes over how he built LlamaCoder – an open-source code generation tool where you can build small apps with a single prompt. It currently has over 400k users and 3k stars on GitHub. He’ll go over exactly how he built it in a single weekend, how he scaled it to 400k users, and advice for how to build your own full-stack AI apps with Next.js

    How We Built LlamaCoder (400k Users) – A Full-Stack Next.js AI App

    How We Built LlamaCoder (400k Users) – A Full-Stack Next.js AI App

    www.linkedin.com

  • View organization page for Together AI, graphic

    34,203 followers

    We’re excited to share that our CEO, Vipul Ved Prakash, represented Together AI on an incredible panel titled "AI Disruption: The Bigger Picture" at #TecShift2024, the aramco Entrepreneurship Summit at Ithra in Dhahran, Saudi Arabia. Joined by fellow AI visionaries Aidan Gomez (CEO of Cohere), Alexander Ratner (CEO of Snorkel AI), and Yuan (Alan) Qi (CEO of INF TECH), Vipul explored AI’s transformative impact on healthcare—from diagnostic advancements to personalized treatments and the evolving role of healthcare practitioners in this technology-driven landscape. A big thank you to Aysar Tayeb of Prosperity7 Ventures for moderating this forward-looking discussion. #TecShift #FII8

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  • View organization page for Together AI, graphic

    34,203 followers

    New Cookbook: An open source implementation of Contextual RAG from Anthropic! In short, it involves: 1. Using Llama 3.2 3B to efficiently generate context for each chunk 2. Building two data indices: vector and BM25 3. Performing hybrid search using reciprocal rank fusion 4. Reranking hybrid search results 5. Generate with Llama 3.1 405B Check it out below! https://lnkd.in/gR9MniE5

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  • View organization page for Together AI, graphic

    34,203 followers

    We’re excited to power the AI infrastructure of leading enterprises like Salesforce, The Washington Post, and Zoom. With the Together Enterprise Platform, you can securely run inference, fine-tuning, and training on your own models, in your own environment, while unlocking 2-3x faster inference speeds and reducing operational costs by up to 50%. Learn more about our enterprise offerings at our new page: together.ai/enterprise

  • View organization page for Together AI, graphic

    34,203 followers

    Announcing Together Cookbooks! 👨🍳 A collection of hands-on notebooks showcasing powerful use cases of open-source models with Together AI, including Text RAG, Multimodal Document RAG, Semantic Search, Rerankers, and Structured JSON extraction. Here's a glimpse at what’s inside:   🖼 Multimodal Document RAG with Nvidia Investor Slide Deck: Implement multimodal RAG with ColQwen2 and Llama 3.2 90b Vision, combining text and images for advanced retrieval. 📊 Embedding Visualization: Visualize vector embeddings to explore structure in high-dimensional spaces. 🌐 Knowledge Graphs with Structured Outputs: Generate knowledge graphs from LLMs using structured JSON generation. 🧠 Semantic Search: Boost search precision with BERT-based embedding models for better retrieval. 🔎 Improving Search with Rerankers: Refine search results with rerankers to enhance relevance across large document corpora. 📰 Structured Text Extraction from Images: Extract structured text from images, ideal for document digitization and workflow automation. 📝 Text RAG: Implement text-based Retrieval-Augmented Generation to enrich responses with relevant knowledge. 🔗 Explore the cookbooks here: https://lnkd.in/g5E4VYqd

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  • View organization page for Together AI, graphic

    34,203 followers

    Our CEO, Vipul Ved Prakash, joined Clara Shih, CEO of Salesforce AI, on the Ask More of AI podcast to dive into the future of generative AI and how Together AI is leading the charge. In this episode, they break down how Together AI is optimizing AI workloads to make models faster, smarter, and more efficient for real-world applications. Key innovations like FlashAttention, speculative decoding, and model quantization are highlighted, showing how we’re transforming AI workloads for greater speed, scalability, and impact. It’s an exciting look at how we’re helping businesses bring AI from pilot to production at scale. 🎧 Tune in to the conversation here: https://lnkd.in/g8HU3P4B

    View profile for Clara Shih, graphic
    Clara Shih Clara Shih is an Influencer

    CEO of Salesforce AI | Founder & Board Chair of Hearsay Systems | TIME 100 AI | WEF YGL

    As generative AI shifts from pilot to production, efficiency, cost, and scalability matter a lot more. Founded 2 years ago as "AWS for Generative AI," Together AI has raised $240M to provide cloud compute optimized for AI workloads. In this week's episode of my #AskMoreOfAI podcast, CEO/founder Vipul Ved Prakash talks about innovations to make models faster and smarter including: 🔹 FlashAttention: Smart GPU-aware tricks to reduce memory needed for calculating attention and rearrange calculations to speed up inference. 🔹 Speculative decoding: Speeds up inference by predicting multiple tokens in advance instead of one at a time, then selects the best ones and prunes the rest. 🔹 Model quantization: Reduce model size and speed up inference by reducing precision of numerical representations used in models without significantly degrading performance. In most LLMs, parameters are stored as 32-bit floating-point numbers, which consume a lot of memory and processing power. Quantization converts these to lower sig figs, eg 16-bit floats or even 8-bit integers.   🔹 Mixture of Agents, combining use of multiple specialized models (agents) that work together, with each agent handling a different aspect of a problem such as a sales agent, sales manager agent, deal desk agent, and legal contracts agents collaborating together. Vipul predicts that cloud compute for #GenAI will surpass the traditional hyperscaler business within 2-3 years. Salesforce Ventures is proud to have led the Series A earlier this year, and customers running models on Together can BYOM with Einstein Model Builder. 🎧 Listen or watch here! https://lnkd.in/g6XX4KCR

    • Ask More of AI with Clara Shih, podcast episode featuring Vipul Ved Prakash, CEO and Co-founder of Together AI
  • View organization page for Together AI, graphic

    34,203 followers

    📬 Never miss a beat! Today we are introducing "Together We Build", a newsletter with a handpicked selection of news, product launches, novel research, and AI tools from Together AI. Subscribe to keep up with the latest developments in generative AI and LLMs! And don't miss our first issue 👇

    Latest Updates: FREE Llama 3.2 Multimodal & FLUX.1 [schnell], NVIDIA H200s, and Enterprise Platform

    Latest Updates: FREE Llama 3.2 Multimodal & FLUX.1 [schnell], NVIDIA H200s, and Enterprise Platform

    Together AI on LinkedIn

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