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

🚀 We've partnered with AI at Meta to offer Llama 3.2 11B Vision for FREE so developers can experiment with open-source multimodal AI, at no cost. In addition to our free credits, for a limited time developers can get unlimited access to Llama 3.2 11B Vision via our Llama-Vision-Free model endpoint. We also have paid Turbo endpoints for Llama 3.2 11B & 90B for superior performance and critical production-applications. 🆓 Try our free model endpoint: https://lnkd.in/gWxwdaVd 📖 Read the docs: https://lnkd.in/gs-p4f7r

I've been reading TLDR newsletters 📰 for years to keep up with tech, h/t founder Dan N. 👋 And what's the top story in today's AI newsletter? 🤖 🦙 Together AI has partnered with AI at Meta to offer a FREE API for the new Llama 3.2 vision model 😲 👁 Input an image, ask a question, and let Llama share (or bleat?) the answer. Try it for free on Together Playground 👇 https://lnkd.in/gX3EaiPB

Together’s Llama 405B endpoint delivers the frontier OSS model at 100+ TPS. Today we are making it 30% cheaper: $3.5/M for both input and output tokens 🚀 Try it now: https://lnkd.in/gcQf_Sfg

Introducing The Together Enterprise Platform Securely run inference, fine-tuning, and training on your own models, in your own environment, with unparalleled performance and cost-efficiency. Trusted by enterprises like Salesforce, The Washington Post, Zoom and Zomato. ▶ Key benefits: - 2-3x faster inference speeds - 30-50% reduction in operational costs, on your existing infrastructure - Secure deployment in your VPC (AWS, Azure, GCP, OCI) or on-prem environments - Model control: bring your own model or fine-tune leading models like Llama 3.1 - Data privacy: your data never leaves your environment ▶ With these new capabilities: - Continuous model optimization - Advanced GPU orchestration - Enterprise-grade security and compliance - New Enterprise plan with dedicated support and priority hardware access Accelerate your AI initiatives with unmatched performance and cost-efficiency, without compromising on security. Read more on our blog: https://lnkd.in/eXHUnZMw

We're excited to launch Together Talks, a series of conversations with researchers and industry leaders on generative AI, brought to you by Together AI. 🎙️ In this series, you’ll hear from Vipul Ved Prakash, Percy Liang, Ce Zhang, Tri Dao, and Leon Song from Together AI; Scott Wu, CEO of Cognition; and Chip Huyen, VP of AI at Voltron Data, as they explore the ever-changing landscape of AI. From scaling models and deploying AI at scale to the complexities of AI safety and the future of AGI, each episode offers a deep dive into the challenges and innovations that lie ahead. Our mission with Together Talks is simple: to bring the research closer, and to foster thoughtful conversations about the opportunities and challenges in AI. Through this podcast, we want to give fellow researchers, engineers, and AI enthusiasts a space to hear from those who are pushing the boundaries of what AI can do. Our first episode is live! Join Vipul Ved Prakash and Percy Liang, as they discuss the spectrum of openness in AI, the importance of evaluations, AI safety, and what’s next for AGI. 🎧 https://lnkd.in/gFNGU8dB #TogetherTalks

A big thank you to everyone who joined us at #Dreamforce yesterday! It was an incredible experience hearing from our very own Arielle Fidel, VP of Sales & Business Development, and Vipul Ved Prakash, CEO of Together AI, as they shared their expertise on the future of AI. Arielle spoke alongside Kate Jensen from Anthropic, diving into how enterprise customers are navigating their AI adoption journeys, in a fantastic panel moderated by Kaylin Voss from Slack! Vipul took the stage later in the day to discuss “The AI Boom Loop: What’s Next on the Investment Horizon,” moderated by Paul Drews from Salesforce Ventures. He was joined by Claudine Emeott from the Salesforce Ventures Impact Fund and other leaders in the AI space. The panel explored the next wave of AI investments and the opportunities ahead for AI-native companies. To wrap things up, today, Vipul spoke on “Demystifying AI: Challenges, Successes, and What’s Next” with David B. Kirk from NVIDIA and Denise Holland Dresser from Slack. They shared their perspectives on how AI is shaping the future, tackling the big questions around AI’s progress and what comes next. We’re grateful to both of them for representing Together AI and to all the amazing attendees and panelists who contributed to these great discussions. #Dreamforce #DF24

🌥️ NVIDIA H200 is coming to Together GPU Clusters Together GPU Clusters, featuring NVIDIA H200, H100, and A100 GPUs, provide high-performance accelerated computing with up to 75% cost savings over major cloud providers. The new NVIDIA H200 boasts 141GB of memory and 4.8TB/s bandwidth, delivering 90% faster performance on large models like Llama 2 70B ⚡ Our clusters offer flexible commitments, 99.9% uptime, white-glove service, and seamless transitions from training to inference, ensuring your AI workloads run efficiently at every stage 💼 Request a Together GPU Cluster with Kernel Collection 👋 https://lnkd.in/gwzCRVgg Learn more in the blog👇 https://lnkd.in/gzGkXVSH

We're thrilled to have Meta write an article about one of our open source Together AI example apps! Llama 3.1 has really been an inflection point for open source AI. At Together, we love pushing the boundaries of these Llama models to show off all the great things developers can build with them. Check out the blog post below!

With the release of Llama 3.1, Together AI built LlamaCoder — an open source web app that enables people to generate entire apps from a prompt. Since release, the project has been starred over 2K times and cloned by hundreds of developers on GitHub. More on this project, built with Llama 405B ➡️ https://go.fb.me/or1rcl