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What is a The Ultimate Telegram...

The Rise of Telegram Bots Over the past few years, Telegram has emerged as one of the most powerful messaging platforms in the world, not just for chatting with friends but also for automating workflows, engaging customers and creating intelligent conversations. A big reason behind this transformation is the Telegram bot. These bots are more than just programs. They’re digital assistants, AI companions and productivity boosters within your chat screen. What exactly is a Telegram Bot? Have you ever heard of a Telegram bot yet? This kind of software application taps into Telegram’s infrastructure, which can interact with people like a human. However, you’re doing it with a chat app. Interestingly, you can converse with it, have it do something and receive responses quickly. When you have a Telegram bot, it can do many things, such as sending messages, arranging weather reports, translating languages, setting up any task and as if all this were not enough, hold conversations like a human. How Does a Telegram Bot Work Suppose, as the user, you ask the Telegram AI bot, “What is the weather like today in Mumbai?”If you were to explain it to an 8-year-old, it would be as follows: Your message...

On Dec. 21, 2022, just as peak holiday season travel was getting underway, Southwest Airlines went through a cascading series of failures in their scheduling, initially triggered by severe winter weather in the Denver area. But the problems spread through their network, and over the course of the next 10 days the crisis ended up stranding over 2 million passengers and causing losses of $750 million for the airline. How did a localized weather system end up triggering such a widespread failure? Researchers at MIT have examined this widely reported failure as an example of cases where systems that work smoothly most of the time suddenly break down and cause a domino effect of failures. They have now developed a computational system for using the combination of sparse data about a rare failure event, in combination with much more extensive data on normal operations, to work backwards and try to pinpoint the root causes of the failure, and hopefully be able to find ways to adjust the systems to prevent such failures in the future. The findings were presented at the International Conference on Learning Representations (ICLR), which was held in Singapore from April 24-28 by MIT doctoral student Charles...

🔘 Paper page: arxiv.org/abs/2112.10508 Abstract «What are the units of text that we want to model? From bytes to multi-word expressions, text can be analyzed and generated at many granularities. Until recently, most natural language processing (NLP) models operated over words, treating those as discrete and atomic tokens, but starting with byte-pair encoding (BPE), subword-based approaches have become dominant in many areas, enabling small vocabularies while still allowing for fast inference. Is the end of the road character-level model or byte-level processing? In this survey, we connect several lines of work from the pre-neural and neural era, by showing how hybrid approaches of words and characters as well as subword-based approaches based on learned segmentation have been proposed and evaluated. We conclude that there is and likely will never be a silver bullet singular solution for all applications and that thinking seriously about tokenization remains important for many applications.» Authors Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, Colin Raffel, Manan Dey, Matthias Gallé, Arun Raja, Chenglei Si, Wilson Y. Lee, Benoît Sagot, Samson Tan Liked this post? Follow this blog to get more.

The ELEDIA Research Center is pleased to announce that the application to the “2020 ELEDIA Artificial Intelligence Summer Hackathon” is open. Visit the dedicated page for additional details regarding important dates, participation rules, Hackaton objectives, registration process, and awards. The 2020 ELEDIA Artificial Intelligence Hackathon is organized in cooperation with HUAWEI Technologies in the framework of the 2020 HUAWEI DIGIX Global AI Challenge.

Vue.ai to Transform Document Processing and Workflow Automation with Gen AI on Microsoft Azure3 min read Reading Time: 2 minutes San Francisco, CA — November 12, 2024 Vue.ai, a leading AI orchestration platform, is proud to announce the launch of its Intelligent Document Processing (IDP) solution and workflow automation suite on Microsoft Azure, to deliver AI-powered automation, offering businesses enhanced workflow efficiency and significant cost savings. Vue.ai integrates Microsoft Azure services including Azure OpenAI Service as well as Cosmos DB, Azure Databases and Azure Virtual Machines to help enterprises to streamline operations. This collaboration combines the best of process automation and Generative AI, traditionally considered separate domains, into a unified, scalable solution. Transforming Workflows with AI-Powered Automation Vue.ai’s platform seamlessly integrates advanced AI technology with intuitive, no-code tools, bridging the gap between process automation and Generative AI. This powerful combination accelerates digital transformation, empowering teams across operations, product management, and business functions to harness AI’s full potential. Designed to up skill teams, the platform also offers flexibility in AI model deployment, allowing users to either train and build custom models tailored to their specific needs or leverage a comprehensive library of pre-built use cases enabling rapid deployment within hours instead...

When starting their AI initiatives, many companies are trapped in silos and treat AI as a purely technical enterprise, sidelining domain experts or involving them too late. They end up with generic AI applications that miss industry nuances, produce poor recommendations, and quickly become unpopular with users. By contrast, AI systems that deeply understand industry-specific processes, constraints, and decision logic have the following benefits: Increased efficiency — The more domain knowledge AI incorporates, the less manual effort is required from human experts. Improved adoption — Experts disengage from AI systems that feel too generic. AI must speak their language and align with real workflows to gain trust. A sustainable competitive moat — As AI becomes a commodity, embedding proprietary expertise is the most effective way to build defensible AI systems (cf. this article to learn about the building blocks of AI’s competitive advantage). Domain experts can help you connect the dots between the technicalities of an AI system and its real-life usage and value. Thus, they should be key stakeholders and co-creators of your AI applications. This guide is the first part of my series on expertise-driven AI. Following my mental model of AI systems, it provides a structured approach to embedding deep domain expertise into your...

TL;DR In early 2024, Snowflake launched its AI suite, introducing Cortex Analyst for Text-to-SQL and Cortex Search for RAG.

Shouldn’t Microsoft then at least be held legally and financially liable for damages caused by such scams on their platform? Should Microsoft Be Held Legally and Financially Liable for Scams on Skype? Legally, holding Microsoft accountable for scams on Skype is a complex issue because of existing laws that protect online platforms from liability for user-generated content. However, as AI-driven scams become more sophisticated and persistent, there is a growing argument that tech giants should bear more responsibility—both legally and financially—when their platforms enable large-scale fraud. Here’s a breakdown of the legal, ethical, and financial arguments for and against Microsoft’s liability: 1. The Legal Shield: Section 230 and Global Equivalents In the U.S., Section 230 of the Communications Decency Act protects tech companies from liability for content posted by users on their platforms. This law states: “No provider or user of an interactive computer service shall be treated as the publisher or speaker of any information provided by another information content provider.” This means Microsoft isn’t legally responsible for the scams running on Skype, as long as they aren’t actively involved in the scam itself. Similar laws exist in other regions, such as the EU’s Digital Services Act (DSA), which...

What is Ad Creative Insight GPT? Ad Creative Insight GPT enables easy analysis of your ad creative without typing a lengthy text prompt into ChatGPT. Unlike generic versions of ChatGPT, this chatgpt for ad creative specialized tool is designed to provide a thorough and nuanced analysis of advertising creatives. It utilizes a deep understanding of specific rules that cover various aspects of digital marketing, such as visual design, copywriting, audience targeting, branding consistency, call-to-action effectiveness, and overall messaging. The primary distinction between Ad Creative Insight GPT and generic ChatGPT lies in its focused application. While ChatGPT serves a broad range of queries from general knowledge to coding advice, Ad Creative Insight is ChatGPT that is already tailored exclusively for online advertising creative. It offers specific insights and feedback directly applicable to the advertising and marketing sector, making it a highly specialized tool. This GPT operates by evaluating ads based on established criteria that reflect current trends and best practices in digital marketing. Doing so gives users valuable insights into how their advertising creatives align with industry standards and consumer expectations. The tool’s ability to analyze ads from multiple angles – from the aesthetics of visual design to the persuasiveness of...

RoboCut is also able to carve hearts. How do you calculate the coordinated movements of two robot arms so they can accurately guide a highly flexible tool? ETH researchers have integrated all aspects of the optimisation calculations into an algorithm. A hot-wire cutter will be used, among other things, to develop building blocks for a mortar-free structure. A newborn moves its arms and hands largely in an undirected and random manner. It has to learn how to coordinate them step by step. Years of practice are required to master the finely balanced movements of a violinist or calligrapher. It is therefore no surprise that the advanced calculations for the optimal movement of two robot arms to guide a tool precisely involve extremely challenging optimisation tasks. The complexity also increases greatly when the tool itself is not rigid, but flexible in all directions and bends differently depending on its position and movement. Simon Dünser from Stelian Coros’ research group at the Institute for Intelligent Interactive Systems has worked with other researchers to develop a hot-wire cutter robot with a wire that bends flexibly as it works. This allows it to create much more complex shapes in significantly fewer cuts than previous systems, where...