Aman Tailor’s Post

Hello All,  Exciting #Blog Alert! 🌟 Aman Tailor from InsideTechie just shared a new blog on our website. "Integrating Artificial Intelligence with Laravel for Intelligent Web Applications" 🚀 Uncover how AI and Laravel come together for a seamless web experience. A must-read for tech enthusiasts. Check out Aman's insights here:  https://lnkd.in/ddPErU8h Stay ahead with our latest insights and blogs: https://insidetechie.blog/ Don't forget to share your thoughts in the comments. #Insidetechie #AI #WebDevelopment #TechBlog #Technology #Technologyblog #Laravel #TechBlog #ArtificialIntelligence #blogging

Hello All,  Exciting Blog Alert! 🌟 Aman Tailor from InsideTechie just shared a new blog on our website. "Integrating Artificial Intelligence with Laravel for Intelligent Web Applications" 🚀 Uncover how AI and Laravel come together for a seamless web experience. A must-read for tech enthusiasts. Check out Aman's insights here:  https://lnkd.in/dt67ffSH Stay ahead with our latest insights and blogs: https://insidetechie.blog/ Don't forget to share your thoughts in the comments. #Insidetechie #AI #WebDevelopment #TechBlog #Technology #Technologyblog #Laravel #TechBlog #ArtificialIntelligence Vishal Shah Rahul Pixel Rupali Soni Pratik Trivedi

Hello All,  Exciting #Blog Alert! 🌟 Aman Tailor from InsideTechie just shared a new blog on our website. "Integrating Artificial Intelligence with Laravel for Intelligent Web Applications" 🚀 Uncover how AI and Laravel come together for a seamless web experience. A must-read for tech enthusiasts. Check out Aman's insights here:  https://lnkd.in/ddPErU8h Stay ahead with our latest insights and blogs: https://insidetechie.blog/ Don't forget to share your thoughts in the comments. #Insidetechie #AI #WebDevelopment #TechBlog #Technology #Technologyblog #Laravel #TechBlog #ArtificialIntelligence #blogging Vishal Shah Rahul Pixel Rupali Soni Pratik Trivedi Vishal Shah

AI in the Browser AI is getting added to everything, including the Web Browser, which will have some severe unanticipated downside for the user.  Author: Tom Jones 2024-09-21  Context Google has been trying to make web apps, that are downloaded from web sites, as attractive and useful as native apps, that are downloaded from the app store. Now that AI access is getting added to the browser it is important to look at the impact on the user. The following is a quote from the introduction of one API to Chromium. We can expect more APIs enabling access to AI soon. Browsers and operating systems are increasingly expected to gain access to a language model. By exposing this built-in model, we avoid every website needing to download their own multi-gigabyte language model, or send input text to third-party APIs. The rewriter API in particular exposes a high-level API for interfacing with a language model in order to transform inputs for a variety of use cases, in a way that does not depend on the specific language model in question. https://lnkd.in/gsf7UQN4 Problems User Profiling The web site will be able to ask the AI loaded on the user's device for a UI would match what the user would see has the local AI is used in that personal user device. Trying different responses to the same user (via the local AI agent) would give the website information about the user's preferences and behavior. Clearly this is a way to avoid asking the user to share information by trying to extract in from the user's AI without the user's permission or knowledge.  Prompt Injection Mixing data and control over a single channel is akin to cross-site scripting. The use of data input to the AI to modified future behavior of the AI creates such a mixture of data and control that is proposed to be fully accessible to any attacker's web site via JavaScript. As Bruce Schneier put it: "There are endless variations, but the basic idea is that an attacker creates a prompt the tricks the model into doing something it shouldn't."  Cycle Stealing Optimization of web sites has long included pushing more of the web site code into JavaScript which runs on the browser both to make the site more responsive as well as to reduce the compute load on the server. For the point of view of the web server, cycles on the browser are free compute resources. It would even be possible now for the web site to try several different user prompts on the local AI to see what the user would see if they asked their local AI about the display on the browser. This kind of feedback could be sent to the web site enabling it to learn from any and all of their user's what text is best. Allowing the web site's user to help the web site optimize their content at the user's expense.  References • Bruce Schneier, LLM's Data-Control Path Insecurity CACM 67 No 9 page 31-32

Summary notes at this point: (+) The .NET smart components are as nice as demonstrated, and easy to integrate into my playground (link in the comment, which I will reset to remove them 1 week later, for obvious reasons). (-) No open source yet to study further. For each particular components: Smart Paste: (+) A Quality of Life feature. The best among the 3 components, in my opinion. It calls the Open AI API with minimal requests and tokens, hence also a cost-efficient solution. (-) Just like any default API, the API "/_smartcomponents/" has no auth validation to begin with, but still you can apply the protection layer for it later (e.g. in my playground, it is protected with a referrer validation middleware). Smart Text Area: (+) Similar to the auto complete that GMail provides when you are drafting email, but in more specific case studies. (-) Seem to require much more requests and tokens, approx. 5-10 times than the Smart Paste. And through the samples in my playground, I feel the optimal solution may not really need AI at all. Smart Combo Box: (+) Don't need Open AI API. (-) I myself struggle with how to make it go nicely with MudBlazor framework. And unable to deploy to Azure as it seems the Local Embedding makes the app package 3 times larger.

This weblog submit focuses on new options and enhancements. For a complete record, together with bug fixes, please see the release notes. Launched app templates for streamlined app creation. We now present pre-built, ready-to-use templates that expedite the app creation course of. Every template comes with a vary of sources, comparable to datasets, fashions, workflows, and modules, permitting you to rapidly hit the bottom working with your app creation course of. To entry the templates: You possibly can both go to the neighborhood Apps part and filter the apps by deciding on the “Templates” possibility on the appropriate aspect. Or you may select the “Use an App template” possibility by creating your app from the create possibility on the highest proper aspect. Listed here are the 5 totally different templates out there in the mean time which cowl varied use circumstances. Chatbot-Template: Chatbot App Template serves as an in depth information for constructing an AI chatbot swiftly and successfully, using the capabilities of Clarifai’s Massive Language Fashions (LLMs). RAG-Template: This RAG App Template presents a complete information for constructing RAG (Retrieval-Augmented Technology) functions successfully utilizing Clarifai. It allows you to rapidly experiment with RAG utilizing your datasets with out the necessity for intensive coding. Document-Summarization Template: This template supplies you with a number of workflows for varied ranges of summarization, comparable to summarizing a couple of paragraphs with a immediate, summarizing a number of pages, and summarizing a whole e-book. Content-Generation Template: This App Template discusses a number of content material era use circumstances comparable to e mail writing, weblog writing, query answering, and so on., and comes with a number of ready-to-use workflows for content material creation, leveraging totally different LLM fashions and optimized by varied immediate engineering methods. Image-Moderation Template: This template explores varied picture moderation eventualities and presents ready-to-use workflows tailor-made to totally different use circumstances. It leverages varied pc imaginative and prescient fashions educated by Clarifai for picture moderation. Launched a new Node SDK [Developer Preview] We launched the primary open-source model (for developer preview) of a Node SDK for JavaScript/TypeScript builders targeted on creating internet companies and internet apps consuming AI fashions. It’s designed to supply a easy, quick, and environment friendly technique to expertise the ability of Clarifai’s AI platform — all with simply a few strains of code. You possibly can examine its documentation here. Printed new fashions Clarifai-hosted Mxbai-embed-large-v1, a state-of-the-art, versatile, sentence embedding mannequin educated on a distinctive dataset for superior efficiency throughout a wide selection of NLP duties. It additionally tops the MTEB

Are you ready to elevate your MERN stack abilities? 🌐 By incorporating AI, developers can automate complex tasks, supercharge data processing, and deliver intuitive, personalized user experiences. 🔥 AI-driven innovation is the key to staying competitive in today’s tech landscape! Read more to explore the future of MERN stack development: https://lnkd.in/d8JwQ4Cz #AI #MERNStack #WebDevelopment #AIIntegration #FutureOfTech #SoftwareDevelopment #TechLeadership #MernStackDevelopment #ArtificialIntelligenceDevelopment #HireMernStackDeveloper #GenerativeAIDevelopment

Discover the future of tech with AI and ML in Laravel! 🚀 Learn how developers are gearing up for 2025 with smart innovations.

How to use Claude AI in Laravel?

Transformers.js v3 Released: Bringing Power and Flexibility to Browser-Based Machine Learning In the ever-evolving landscape of machine learning and artificial intelligence, developers are increasingly seeking tools that can integrate seamlessly into a variety of environments. One major challenge developers face is the ability to efficiently deploy machine learning models directly in the browser without relying heavily on server-side resources or extensive backend support. While JavaScript-based solutions have emerged to enable such capabilities, they often suffer from limited performance, compatibility issues, and constraints on the types of models that can be run effectively. Transformers.js v3 aims to address these shortcomings by bringing enhanced speed, compatibility, and a broad array of model support, making it a significant release for the developer community. Transformers.js v3, the latest release by Hugging Face, is a great step forward in making machine learning accessible directly within browsers. By leveraging the power of WebGPU—a next-generation graphics API that offers considerable performance improvements over the more commonly used WebAssembly (WASM)—Transformers.js v3 provides a significant boost in speed, enabling up to 100 times faster inference compared to previous implementations. This boost is crucial for enhancing the efficiency of transformer-based models in the browser, which are notoriously resource-intensive. The release of version 3 also expands the compatibility across different JavaScript runtimes, including Node.js (both ESM and CJS), Deno, and Bun, providing developers with the flexibility to utilize these models in multiple environments. The new version of Transformers.js not only incorporates WebGPU support but also introduces new quantization formats, allowing models to be loaded and executed more efficiently using reduced data types (dtypes). Quantization is a critical technique that helps shrink model size and enhance processing speed, especially on resource-constrained platforms like web browsers. Transformers.js v3 supports 120 model architectures, including popular ones such as BERT, GPT-2, and the newer LLaMA models, which highlights the comprehensive nature of its support. Moreover, with over 1200 pre-converted models now available, developers can readily access a broad range of tools without worrying about the complexities of conversion. The availability of 25 new example projects and templates further assists developers in getting started quickly, showcasing use cases from chatbot implementations to text classification, which helps demonstrate the power and versatility of Transformers.js in real-world applications. The importance of Transformers.js v3 lies in its ability to empower developers to create sophisticated AI applications directly in the browser with unprecedented efficiency. The inclusion of WebGPU support addresses the long-standing performance limitations of previous...