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

### In this?event?we'll discuss how you can perform RAG over complex PDF documents that contain images, graphs, tables text charts and more! We'll describe in detail how: - The new image retriever ColPali works - How you can finetune ColPali to improve further for your usecase - How to leverage multi-vector retrieval to retrieve from PDFs - How to use language vision models like the new Llama 3.2 vision series to perform document RAG

Congratulations to Braintrust on their Series A! ?? We've been partnering with them to showcase the performance of our models in real-world tests. Check out this Braintrust recipe showing that Llama 3.2 vision models running on Together AI are 3x faster with the same accuracy as GPT-4o-mini and GPT-4o. Read here: https://lnkd.in/gq-jDNWq

New Blog & notebook: Document RAG with Llama 3.2 Vision and ColQwen2! We discuss: - How to perform RAG with complex PDFs & slide decks - How Llama 3.2 vision models can be used for multimodal RAG - The new SOTA visual document retriever ColPali Link to the blog post: https://lnkd.in/e9QbDFD5 Link to a full notebook: https://lnkd.in/ePHfH8jm #ai #togetherai #rag #opensource #artificialintelligence

??? We’re excited to release the second episode of Together Talks, our series of conversations with leading researchers and industry experts on generative AI. In this episode, our Chief Scientist Tri Dao sits down with best-selling author and VP of AI & Open Source at Voltron Data, Chip Huyen, to explore GPUs and Machine Learning Systems Design. This conversation offers deep insights into the future of AI, data processing, and much more. ?? Tune in now on YouTube: https://lnkd.in/gMvuS7Zy #AI #MachineLearning #GPUs #TogetherTalks #TechInnovation

Happy Saturday! I spent a little time this morning working on a forked version of Hassan El Mghari's BlinkShot that he recently launched. Using #togetherai's FLUX.1-schnell Serverless Endpoint, the image generation speed is mind-blowing! ?? New Features: ?? Height/Width Sliders ?? Step Slider ?? Sample prompts for instant inspiration ?? Quick image style selection (including "no style preference") ? Added a delay to prevent API overload ?? Links: My Vercel demo if you want to try it out: https://lnkd.in/gZW9zn_V Link to the original: https://www.blinkshot.io/ My repo: https://lnkd.in/gZ8CUhAZ Original repo: https://lnkd.in/gbuXekMa #genai #flux #opensource

Flux Schnell has a free API on Together.ai and should be useful to anyone building text-to-image apps.

???Join us next Thursday for our first webinar led by Zain Hasan from our Developer Relations team! We’ll be discussing?How to Build Multimodal Document RAG with Llama 3.2 Vision and ColQwen2. In this session, you’ll learn how to: ? Perform RAG over complex PDFs with images, graphs, tables, and more! ? Fine-tune the new image retriever ColPali for your use case. ? Leverage multi-vector retrieval for PDFs. ? Use language vision models like Llama 3.2 Vision to enhance document RAG. Don’t miss out—RSVP here to secure your spot: https://lu.ma/zce2vlu5 #AI #Webinar #MultimodalRAG #DocumentRAG #Llama3

Thrilled to be co-hosting LLM/Agent Trivia Night & Happy Hour with SambaNova Systems and Numbers Station AI as part of #SFTechWeek! Join us on Monday, Oct 7 from 5:00 – 9:00 PM for a night of trivia about all things LLMs & Agents. It’s going to be a great opportunity to network, have fun, and connect! Space is limited so RSVP now: https://lnkd.in/g9TyBZRe?

?? AI literacy is quickly becoming an essential skill, and that's why we're making models such as Llama 3.2 vision and Flux schnell available to our community for free. We hope you use our free model endpoints to show family – children especially – all the amazing things that you can do in collaboration with AI. ?? Llama Vision Free https://lnkd.in/gWxwdaVd ??? Flux Schnell Free https://lnkd.in/gAJZv8xD