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Meet the minds behind the magic! ✨ Google Cloud partners and customers share their vision at #GTC24. Don't miss our live session: AI inference in action: Success stories and best practices. We will see you there ➡ https://goo.gle/3VbjWmV

Meta announced Llama 3 today! You can try out Llama 3 with the playground/API of Friendli Serverless Endpoints at FriendliAI! If you would like to run fine-tuned Llama 3 models super fast, use Friendli Container or Dedicated Endpoints! #meta #llama #llama3 #friendli #friendliai

50,000 – that's how many times our customers used Aura Copilot's capabilities in our pilot program, leveraging AI to streamline manual tasks such as creating lessons, answering questions, and generating summaries across the Seismic Enablement Cloud. Learn more about how Seismic's Spring/Summer 2024 release here: https://bit.ly/3Rv0gHQ

Llama2’s features, such as fine-tuning, RLHF, and content moderation, are revolutionizing #AdvancedLanguageProcessing. But, how can users harness its full potential efficiently? Discover our authoritative guide, from setup to maximized utilization, and ensure you're leveraging #Llama2OnGCP and #VertexAIDeployment optimally. Let our findings guide your AI endeavors in the cloud: https://bit.ly/3MtpaFa #AIinCloud #LanguageModel

🚨 Just released Meta just released their biggest and most capable Llama 3.1 in three different versions. Inference: You can choose between real-time inference or batch inference and download model weights to optimize cost per token. Fine-tune and deploy on-prem or in the cloud. RAG & Tool Use: Extend the model using zero-shot tool use and RAG to build agentic behaviours. Git: https://lnkd.in/dAJfWv4r Request access here: https://lnkd.in/dMyjXUj6 Getting Started guide: https://lnkd.in/dtTcZAfa #LLMs #Llama

The big three cloud providers have seen their Capex grow 50% to $150 billion as the AI arms race intensifies. Where does Timothy Horan see the race heading into the coming years? Listen to the full episode here: https://bit.ly/3ZcqPGo

🚀 Exciting news from Databricks! They’ve just announced the open-sourcing of Unity Catalog, making it easier than ever for organizations to manage their data governance across multi-cloud environments. This move underscores Databricks’ commitment to an open and collaborative data ecosystem, empowering businesses to unlock the full potential of their data. Read more about this significant development here: Open-Sourcing Unity Catalog The open-sourcing of Unity Catalog by Databricks is a game-changer in the realm of data governance. As data continues to grow in volume and complexity, having robust, scalable, and flexible tools to manage it is crucial. By making Unity Catalog open-source, Databricks is not only democratizing access to top-tier data management capabilities but also fostering an environment of innovation and collaboration within the data community. This initiative will undoubtedly benefit organizations striving to maintain high standards of data governance across multi-cloud environments. It simplifies the challenges associated with data lineage, security, and compliance, enabling businesses to focus more on deriving value from their data rather than managing it. Kudos to Databricks for taking this step. Open-source projects have the power to drive collective progress and innovation, and Unity Catalog is poised to be a key player in this space. It’s encouraging to see leading companies like Databricks prioritizing openness and community-driven development. For leaders in data management and governance, this is a development worth paying attention to. Leveraging open-source tools like Unity Catalog can significantly enhance your data strategy, providing the flexibility and control needed to navigate today’s complex data landscape. I look forward to seeing how this evolves and the impact it will have on the industry. Well done, Databricks! #DataGovernance #OpenSource #UnityCatalog #Databricks #DataManagement #Innovation

The big three cloud providers have seen their Capex grow 50% to $150 billion as the AI arms race intensifies. Where does Timothy Horan see the race heading into the coming years? Listen to the full episode here: https://bit.ly/4g7gTUR

The big three cloud providers have seen their Capex grow 50% to $150 billion as the AI arms race intensifies. Where does Timothy Horan see the race heading into the coming years? Listen to the full episode here: https://bit.ly/3AM5AkA

The big three cloud providers have seen their Capex grow 50% to $150 billion as the AI arms race intensifies. Where does Timothy Horan see the race heading into the coming years? Listen to the full episode here: https://bit.ly/3Mwvrzw