Together AI

?? 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

?? New Cookbook: Fine-tuning Llama 3.1 8B on Conversation Data In this notebook we fine-tune Llama 3.1 8B on the CoQA multi-turn conversation dataset with loss masking and show a significant improvement in performance! See here: https://lnkd.in/gQfC8A-J

New Blogpost: Fine-tuning LLMs for Multi-turn Conversations In this deep dive we cover: ??? How to fine-tune with conversation data. ?? Implement loss masking to improve model performance. ?? Full code example fine-tuning Llama 3.1 8B on CoQA dataset. Read here: https://lnkd.in/gFxbpia6

Introducing the new version of the Together Fine-tuning API, packed with features and improvements! You can now: ?? Fine-tune on long-sequence data ?? Train on conversation/instruction datasets ?? Get better models with no changes to your jobs or cost Read more: https://lnkd.in/gSjzFYnA

?? Our latest "Together We Build" issue is out! Don't miss the latest updates to our products & supported models, as well as new research and insights on generative AI.

Got bored and built a free and open source app to help me this holiday season. ?? I built a simple gift suggestion app that provides 6 random gift ideas based on the criteria you enter, as well as links to buy (or research) the AI generated gift suggestions. ?? Tech Stack: Next.js Together AI API tailwind.css Meta-Llama-3.1-8B-Instruct-Turbo Google Search API for product links For those of you like me who have trouble deciding what to get for your friends and loved ones, give it a spin! ?? https://giftassist.pro/ If you want to run it locally, check out the repo here: https://lnkd.in/gPbZAvX5 Shout out to Hassan El Mghari for the inspiration to build. Go check out his work if you get a chance! Logo was generated by his logo generation tool https://lnkd.in/gsP_RG7r #genai #NextJS #AI #happyholidays #TogetherAI #MetaLlama Would love to hear your experiences with it! What surprising recommendations did you get? ???

A lot of people ask me, “What is Together AI?” Simply put, Together AI is a platform that helps businesses create and run their own AI tools easily and affordably. Think of it like a set of tools and resources that businesses can use to build things like chatbots, smart assistants, or systems that analyze data. It provides access to super-fast computers, makes it simple to customize AI for specific needs, and helps businesses scale up their projects when needed. It’s designed to make AI development more accessible, so companies can solve problems faster, save money, and improve the way they work without needing to be tech experts.

We’re thrilled to be at Amazon Web Services (AWS) ReInvent, happening Dec 2-6 in Las Vegas! ?? Come visit us at booth #1406 to meet the team and discover how we’re advancing AI innovation. Also, don’t miss Roger Liang from our team, who will be giving a lightning talk on December 4th at 11 AM in the MongoDB booth (#824). He’ll be sharing insights on how Together AI can accelerate your RAG GenAI development. Looking forward to connecting with old and new Together friends! #AWSReInvent?

ICYMI Black Forest Labs recently announced their FLUX Tools suite – a powerful addition to the world of AI image generation. To unpack what these tools are and how they work we sat down with Dan Fu, one of our AI researchers and an incoming assistant professor at UCSD in MLSys. Dan has been working on optimizing the Together Inference Engine to power our hosted FLUX models. Check out the video below, and let us know what you think about FLUX Tools in the comments!??

?? FLUX Tools Now Available on Together AI Black Forest Labs' new ?? FLUX Tools suite is now on Together AI. This release includes three specialized models, each leveraging different techniques to give more precise control over AI image generation: ?? Canny: Preserves structural integrity using edge detection, allowing you to maintain composition while transforming style and content through text prompts. Perfect for design iterations and creative transformations. ?? Depth: Masters spatial relationships through depth mapping, ensuring generated variations maintain proper perspective and object positioning. Game-changing for architectural visualization and interior design. ?? Redux: Simplifies the variation process - input an image, get slight variants without needing prompts. Ideal for something like product photography.. ? Plus, we're making FLUX.1 [dev] available alongside these tools, offering higher quality image generation than the schnell model. ?? And speaking of schnell - we're still offering a free model endpoint for schnell until the end of the year! Read more about the new FLUX tools here: https://lnkd.in/gQ4v7-_4