Amazon Web Services announced updates across several of its AI products on Wednesday as it aims to outpace competitors. https://trib.al/pzB4Okc
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Director of Customer Solutions, with expertise in Enterprise Architecture, Data Platforms and AI/ML on Cloud platforms.
It's never been easier to build new Generative AI solutions or embed #GenAI into existing applications, but building solutions that reliably provide real value is still challenging. It's not just about the model, training, fine-tuning, prompt engineering, or techniques such as Retrieval Augmented Generation (RAG) and semantic search. The careful, considered fusion of these techniques (or not as the case may be), along with high-quality data - because it is always about the data, will be how we ultimately deliver innovative solutions and services that drive real value. I've been using Amazon Bedrock throughout the preview period, exploring what's possible, and how it simplifies complex tasks with LLM's, which is why I'm excited that Amazon Web Services (AWS) announced today that Bedrock is now generally available. I can't wait to see what developers do with it. #aiml https://lnkd.in/gyAkXvnX
Amazon Bedrock is now generally available
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Amazon Bedrock is the foundation for AI usage within Amazon Web Services (AWS). In recent months there were lot's of announcements about enhancements. Let's dive into the additions shaping the landscape of AI innovation: Expanding Model Choice 🔍 Anthropic Claude 2.1: This cutting-edge model boasts an expansive 200K token context window, reduced hallucination rates, and improved accuracy for enterprises. It's a game-changer for dialog, content generation, and complex reasoning. 🦙 Meta Llama 2 (70B): For large-scale language modeling, text generation, and dialogue systems, Llama 2 70B offers a powerful choice within the managed service of Amazon Bedrock. 🖼️ Stability AI's Stable Diffusion XL 1.0: Enhancing image generation with increased accuracy, photorealism, and higher resolution, perfect for various industries requiring top-notch visuals. 🗄️ Amazon Titan Family: From Titan Text Lite for chatbots and summarization to Titan Text Express for broader text-based tasks, Titan Models provide options catering to different accuracy, performance, and cost requirements. Customization with Proprietary Data 🛠️ Fine Tuning: Tailor models easily by providing labeled examples stored in Amazon S3, creating private, more accurate models for personalized responses. 🔗 Retrieval Augmented Generation (RAG): Securely connect models to proprietary data sources using Knowledge Bases, delivering contextual and accurate responses by augmenting prompts with additional information. 📚 Continued Pre-training: Enable models to understand domain-specific language by training on large troves of unlabeled, domain-specific information. New Capabilities for Multistep Tasks 🤝 Agents: Facilitate multistep tasks seamlessly by instructing models with basic commands, allowing interaction with enterprise systems without the need for ML expertise. Implementing Guardrails for Responsible AI 🛡️ Guardrails: Apply safeguards based on responsible AI policies, ensuring interactions align with business ethics, avoiding toxic language, and maintaining relevance without compromising privacy. The response from diverse industries worldwide—be it retail, finance, or technology—is nothing short of phenomenal. Companies like adidas, Booking, Carrier, and Nasdaq are just a few among many leveraging Amazon Bedrock for AI applications. As the AI landscape continues to evolve rapidly, the emphasis remains on choice, customization, and responsible implementation. #AWS #Bedrock #AI #GenAI #innovation #Cloud
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💻 🧠💥 Building efficient, responsible, and useful #GenAI solutions isn't easy. The drive to harness the transformative power of high-end machine learning models has meant some businesses are facing new challenges. But, In April, Amazon Web Services (AWS) stepped in to assist customers contending with the need to build and scale generative AI applications with a new service: #AmazonBedrock. Bedrock arms developers and businesses with secure, seamless, and scalable access to cutting-edge models from a range of leading companies. ☑️ We are democratising ML by making it easy for customers to access high-performing FMs, without the large costs inherent in both building those models and maintaining the necessary infrastructure. ☑️ Amazon's own Titan FMs are built to help customers grapple with the challenge of toxic content by detecting and removing harmful content in data and filtering model outputs that contain inappropriate content. ☑️ In April, select Amazon customers were given access to Bedrock, to evaluate the service and provide feedback. The stepped launch of Bedrock also underscores Amazon's commitment to responsible AI. We wanted to do it, but do it right, as we recognise within our core Leadership Principles that our local communities, planet, and future generations need us to be better every day. We must begin each day with a determination to make better, do better, and be better for our customers, our employees, our partners, and the world at large. The future is looking exciting for the world of GenAI! 👏🏽 Check out the full article on Amazon Science below 👇🏽 https://lnkd.in/eA5c-QSC #cloud #ai #aws
Amazon Bedrock offers access to multiple generative AI models
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GA achieved by Amazon Bedrock generative AI service release. #AIevolution 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 _ ❇️ Summary: Amazon Bedrock, a serverless managed service offered by Amazon Web Services, has become generally available. It provides foundation models for building generative AI applications and was unveiled in a private preview in April. The service has been updated with new models and tools. Customers can customize the models with their own data and it supports retrieval-augmented generation. Use cases for foundation models include search, content creation, and drug discovery. The service includes managed agents to perform complex business tasks without the need to write code. Amazon CodeWhisperer, which provides AI-powered code suggestions, is coming soon. Hashtags: #chatGPT #AIatAmazonBedrock #GenerativeAIatGA
GA achieved by Amazon Bedrock generative AI service release. #AIevolution
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https://buff.ly/3vGfF0n With AI, there are lots of predictions about survivors and companies that will not make it. Here's an interesting take on Amazon and their very huge investment in Anthropic and the impact it may have on Amazon long-term
When You Look Back in 5 Years, You'll Wish You'd Bought This Trillion-Dollar Artificial Intelligence (AI) Stock | The Motley Fool
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Amazon Challenges Tech Titans with Gen AI Assistant ‘Amazon Q’ In a big announcement in the realm of AI-driven software, Amazon recently introduced "Amazon Q" at the AWS Reinvent conference in Las Vegas. This bold move marks a significant pivot for Amazon, positioning it prominently in the fiercely competitive landscape of productivity software and generative AI chatbots. Amazon Q's debut is not merely a product launch; it is a profound statement of Amazon's deep dive into the forefront of AI innovation, showcasing its commitment to advancing the boundaries of technology in the professional domain. https://bit.ly/3T9FVte #MVYL #Substack #AI #Amazon #AmazonQ #GenerativeAI #EnterpriseAI
Amazon Challenges Tech Titans with Gen AI Assistant ‘Amazon Q’
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All Amazon sectors dedicated to generative AI developments and projects. #AIInnovation Follow us on Discord: https://lnkd.in/gt823Zd3 .. Summary: Amazon is heavily investing in generative artificial intelligence (AI) projects across all divisions of the company. CEO Andy Jassy stated that while they will build some of these applications themselves, most will be built by other companies. Amazon Web Services (AWS) aims to support customers in building generative AI applications through services like AWS CodeWhisperer. Jassy emphasized the importance of generative AI to all aspects of Amazon's business, from operations to customer experience. The company is expected to reveal new devices, potentially including an AI chatbot, on September 20th. Hashtags: #chatGPT #AmazonAIvolution #GenAIoAmazon
All Amazon sectors dedicated to generative AI developments and projects. #AIInnovation
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Looks like we gonna have an AI-assisted eCommerce. Any thoughts? https://lnkd.in/gb9jiZ-X #ai #aiassistance #ecommerce #amazon #anthopicai
Amazon invests up to $4 billion in Anthropic AI in exchange for minority stake and further AWS integration | CNN Business
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If you want to take AI foundation models, train them with your data, and integrate them into your applications, then Amazon Bedrock may be what you're looking for. Rean on to learn more........... #ai #genai #chatgpt #chatbots #amazon #aws
What is Amazon Bedrock? The custom GenAI building service
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Director of Business Development | Product Lifecycle Expert | Commercialization | Marketing Strategist | Supply Chain
Amazon CEO Andy Jassy's highlighted the company's focus on generative artificial intelligence (GenAI) and its potential to revolutionize customer experiences. Jassy emphasized three layers of the GenAI stack: - foundation models (FMs) - cloud-based AI primitives - GenAI applications The bottom layer involves building FMs using high-level chips like NVIDIA's and Amazon's custom AI chips named #Trainium and #Inferentia. The middle layer enables customers to customize existing FMs with their data, leveraging cloud providers like Amazon. Jassy cited Amazon #Bedrock as a leading platform for building and scaling #GenAI applications. The top layer focuses on GenAI applications, with Amazon developing coding companions like Amazon Q, which assists developers with coding tasks. Jassy sees GenAI as a significant technology transformation, potentially rivaling the impact of the cloud and the internet, with the cloud serving as a foundational platform for this revolution.
Amazon CEO Andy Jassy sees generative #AI like a short stack of pancakes: a tasty tech with multiple layers. See what he had to say here: https://lnkd.in/eG3K-XEu
Amazon’s CEO Andy Jassy describes 3 layers of GenAI
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