Massimiliano Marchesiello’s Post

Import a question answering fine-tuned model into Amazon Bedrock as a custom model https://ift.tt/5mO2cQR Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Common generative AI use cases, including but not limited to chatbots, virtual assistants, conversational search, and agent assistants, use FMs to provide responses. Retrieval Augment Generation (RAG) is a technique to optimize the output of FMs by providing context around the questions for these use cases. Fine-tuning the FM is recommended to further optimize the output to follow the brand and industry voice or vocabulary. Custom Model Import for Amazon Bedrock, in preview now, allows you to import customized FMs created in other environments, such as Amazon SageMaker, Amazon Elastic Compute Cloud (Amazon EC2) instances, and on premises, into Amazon Bedrock. This post is part of a series that demonstrates various architecture patterns for importing fine-tuned FMs into Amazon Bedrock. In this post, we provide a step-by-step approach of fine-tuning a Mistral model using SageMaker and import it into Amazon Bedrock using the Custom Import Model feature. We use the OpenOrca dataset to fine-tune the Mistral model and use the SageMaker FMEval library to evaluate the fine-tuned model imported into Amazon Bedrock. Key Features Some of the key features of Custom Model Import for Amazon Bedrock are: This feature allows you to bring your fine-tuned models and leverage the fully managed serverless capabilities of Amazon Bedrock Currently we are supporting Llama 2, Llama 3, Flan, Mistral Model architectures using this feature with a precisions of FP32, FP16 and BF16 with further quantizations coming soon. To leverage this feature you can run the import process (covered later in the blog) with your model weights being in Amazon Simple Storage Service (Amazon S3). You can even leverage your models created using Amazon SageMaker by referencing the Amazon SageMaker model Amazon Resource Names (ARN) which provides for a seamless integration with SageMaker. Amazon Bedrock will automatically scale your model as your traffic pattern increases and when not in use, scale your model down to 0 thus reducing your costs. Let us dive into a use-case and see how easy it is to use this feature. Solution overview At the time of writing, the Custom Model Import feature in Amazon Bedrock supports models following the architectures and patterns in the following figure. In this post, we walk through the following high-level steps: Fine-tune the model using SageMaker. Import the fine-tuned model into Amazon Bedrock. Test the imported model. Evaluate the imported model using the FMEval library. The...

What Are Entities? Adopting Entities in SEO is a practical approach for detailing items and their relationships to each other for databases that run the internet. They assist search engines in comprehending the subject matter of your content and forming a descriptive expression of the subject matter, facilitating easier data recognition patterns. Read more -> https://lnkd.in/guubvZTh #EntityClouds #entity #saas

Best AI tool for creating a website, landing page, blog, vedio script in second or minutes in 2024? Unlocking Marketing Superpowers with AiAgentsArmy: A Review" Are you tired of spending countless hours on marketing tasks that could be automated in seconds? Are you tired of to do time-consuming tasks such as creating content, designing graphics, writing ad copies, and scheduling social media posts? Do you want to do your time consuming work like content creation, ads , blog post as well as sales video script without consuming long hours? Are you tired of seeking right prompt for chat gpt and wanna get converable content? Presenting a AI agent army for creating a website, blog, sales video script, copywriting as well as email writting without wasting long hours or specific skills. Create Websites, Sales pages, eCom Stores, and Blogs Content in 3-Clicks 2.Get a attention grabbing sales video script. 3.AI Image Generator Turn any text into a sophisticated image in 1-Click 4.Attention-Grabbing Social Post & Ads Banners for Facebook, Instagram, Twitter, and YouTube in 1-Click 5.Create High Converting Emails Campaigns with different writing tones in seconds 6. Get Good SEO Strategy Plan with Ready Content to Get Massive Free Organic Traffic from Google, Yahoo, YouTube 7.Find the Best Images and Videos from AI Stock Library 8. Create A.I Logos & Banners Instantly 9.Create Long Blog Content in Seconds Create Content in multiple Languages 3x more traffic 10. Create good Prompts for any keyword to get you the best Outputs 11. Add Clients to your Account & Provide Separate Login Details 12. Access any Current Information from the Internet and Use it - Web Access 13. Get a Lead Generation Strategy to get millions of free targeted leads from Google 14. Create Agents for any task in Seconds 15. Create Workflow and Multi-Agents for Multiple Tasks in Seconds 16. Creates Professional PowerPoint Presentations (PPTs) in Seconds For more details 👇👇👇 https://lnkd.in/eUCKHbSa #AIagentarmy #aiagentarmyreview #marketing #business #ethics #lock #trends #contentmarketibg #conyentresearch #contentmaking #business #trendingtopics #copywritting #emailmarketing #emailwritting #vsl #sql

Google On How It Manages Disclosure Of Search Incidents via @sejournal, @martinibuster Google reveals the internal decision-making process for public disclosing incidents that affect search, crawling and indexing The post Google On How It Manages Disclosure Of Search Incidents appeared first on Search Engine Journal. https://lnkd.in/gRXznim3 #PPC #digitalmarketing #google #marketing #socialmediamarketing #socialmedia #business #seo #branding #marketingdigital #onlinemarketing #entrepreneur #instagram #advertising #contentmarketing #marketingstrategy #digitalmarketingagency #digital #marketingtips #smallbusiness #digitalmarketingtips #website #marketingagency #startup #motivation #success #ecommerce #onlinebusiness #ads

Revolutionizing SEO Automation with Quantum Computing In the ever-evolving landscape of digital marketing, SEO remains a cornerstone for businesses striving to enhance their online visibility. As an agency dedicated to AI automation at Zmuth.com, we are constantly exploring innovative solutions that push the boundaries of what’s possible. Enter quantum computing—a technology that promises to revolutionize SEO automation in ways we are just beginning to imagine. https://lnkd.in/d7CVHMqj

Do you know the single most underutilized SEO tactic in SaaS right now? It's not link building or AI. It's building free tools. For instance, Ruben Gamaz and his team created a free online signature tool for his company, SignWell that accounts for 1500 leads per month. Free tools. They're harder to build but in most cases easier to rank... and have a lot more potential to increase MRR.

Lesson Learned! Don't get hit with Google Algorithm Changes! 👉 Keep checking your Google Console daily for changes in patterns. 👉 When you notice a negative trend, check with Google on their updates. 👉 If there is an update, make sure you study it inside out and implement changes gradually. 👉 Never SPAM Google. It may work in the short run, but the CONS are not worth it. 👉 Focus on quality content. The biggest downside is that recovery is long. In this case, it is almost a year. On the bright side, they are performing better than ever. PS: I was able to apply our SAAS SEO findings and was happy to share them with this company.

Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock https://ift.tt/aDGhIpM The Anthropic’s Claude 3 family of models, available on Amazon Bedrock, offers multimodal capabilities that enable the processing of images and text. This capability opens up innovative avenues for image understanding, wherein Anthropic’s Claude 3 models can analyze visual information in conjunction with textual data, facilitating more comprehensive and contextual interpretations. By taking advantage of its multimodal prowess, we can ask the model questions like “What objects are in the image, and how are they relatively positioned to each other?” We can also gain an understanding of data presented in charts and graphs by asking questions related to business intelligence (BI) tasks, such as “What is the sales trend for 2023 for company A in the enterprise market?” These are just some examples of the additional richness Anthropic’s Claude 3 brings to generative artificial intelligence (AI) interactions. Architecting specific AWS Cloud solutions involves creating diagrams that show relationships and interactions between different services. Instead of building the code manually, you can use Anthropic’s Claude 3’s image analysis capabilities to generate AWS CloudFormation templates by passing an architecture diagram as input. In this post, we explore some ways you can use Anthropic’s Claude 3 Sonnet’s vision capabilities to accelerate the process of moving from architecture to the prototype stage of a solution. Use cases for architecture to code The following are relevant use cases for this solution: Converting whiteboarding sessions to AWS infrastructure – To quickly prototype your designs, you can take the architecture diagrams created during whiteboarding sessions and generate the first draft of a CloudFormation template. You can also iterate over the CloudFormation template to develop a well-architected solution that meets all your requirements. Fast deployment of architecture diagrams – You can generate boilerplate CloudFormation templates by using architecture diagrams you find on the web. This allows you to experiment quickly with new designs. Streamlined AWS infrastructure design through collaborative diagramming – You might draw architecture diagrams on a diagramming tool during an all-hands meeting. These raw diagrams can generate boilerplate CloudFormation templates, quickly leading to actionable steps while speeding up collaboration and increasing meeting value. Solution overview To demonstrate the solution, we use Streamlit to provide an interface for diagrams and prompts. Amazon Bedrock invokes the Anthropic’s Claude 3 Sonnet model, which provides multimodal capabilities. AWS Fargate is the compute engine for web application. The following diagram illustrates the step-by-step process. The workflow consists of the following steps: The user uploads an architecture image (JPEG or PNG) on the Streamlit...

FYI: Google debunks indexing slowdown theory during core updates: A recent LinkedIn discussion sparked a debate about whether Google's core algorithm updates cause delays in regular indexing processes. #digitalmarketing #marketing