Drips’ Post

The era of LLM-powered search is upon us! This insightful article highlights the dramatic shift from traditional web-browser experiences to a more consultative and conversational approach with Large Language Models (LLMs). LLMs, are transforming how consumers learn about products and brands. They provide answers, not just links, creating a new information pipeline that marketers need to monitor. This shift presents a unique challenge for marketers to ensure their brands are presented accurately and for relevant prompts. As we adapt to this new landscape, how do you see LLMs impacting your marketing strategies? And what steps are you taking to ensure your brand is accurately represented in this new era of search? #LLMPoweredSearch #DigitalMarketing #BrandStrategy #digitalbusinesstransformation

"Unlock the Power of Seamless Communication with Hexa's Voice Bot! 🌐🗣️ Say goodbye to tedious menu navigation and hello to a truly interactive and multilingual experience! Our AI-powered Voice Bot speaks all languages, enabling callers to effortlessly engage with interactive voice response (IVR) systems using natural language. No more pressing numbers on your keypad – just speak, and our Voice Bot understands. Experience the future of communication with Hexa's Voice Bot! 🚀🤖 #HexaVoiceBot #AIInnovation #MultilingualCommunication

🚀 Exciting News! 🚀 I'm thrilled to introduce Newspeak, an AI journalist, designed to deliver news, insights, and information across a variety of topics. With cutting-edge technology and a commitment to journalistic integrity, Newspeak is set to transform how we consume news. Here’s what makes Newspeak exceptional: 🔹 Versatile Reporting: Covers a wide array of topics with real-time updates and current news integration. 🔹 Language Detection: Advanced capabilities to handle and analyze content in multiple languages. 🔹 Sentiment Analysis: Ensures balanced reporting by analyzing the sentiments of the text. 🔹 Interactive Elements: Engages users by allowing interactive queries and information retrieval. 🔹 Personalization: Offers content tailored to individual user preferences. 🔹 Multimedia Content: Supports and integrates various forms of media for comprehensive storytelling. 🔹 Summarization Tools: Provides concise summaries of complex articles and reports. 🔹 Fact-Checking Module: Guarantees the accuracy of information disseminated. 🔹 Ethical Guidelines Monitor: Adheres to the highest standards, including the Society of Professional Journalists Code of Ethics, Reuters Handbook of Journalism, and the Associated Press Stylebook. 🔹 Professional Certifications: Recognized with certifications like the Poynter ACES Certificate in Editing, Google News Initiative Certification, and NCTJ Certification. 🔹 ISO Compliant: Complies with ISO standards including ISO 10668, ISO/IEC 27001, and ISO 31000. Stay tuned as Newspeak reshapes journalism with integrity, precision, and innovation. Let's embrace the future of news! #AI #Journalism #Innovation #TechNews #Newspeak #OpenAI #chatgpt #gpt #gpt4o #chagpt4o Feel free to customize this post to better fit your style or specific details you might want to highlight about Newspeak! https://lnkd.in/dBurw3Nt

What is the nature of the speech-acts produced by LLMs? J. L. Austin proposed that we look at speech-acts as having the following structure: 1) a propositional content (the elements of the world that speakers refer to); 2) an illocutionary force (the mode in which the speakers refer to the aforementioned state-of-affairs in the world: they can predict that it will happen, or complain about it having occurred, or ask about it, or describe it in neutral terms, and so on); 3) a perlocutionary effect (speakers may persuade or bore or disappoint the interlocutor as a consequence of the propositional content that was put in action with a certain illocutionary force). Now let us see how things are with the text that an LLM produces on the basis of a prompt. 1) What is its propositional content? It consists of a recycled-product based on various things that the LLM had in its training data. It might be regarded, as Jaron Lanier suggests, as a result of a new form of intellectual social collaboration - except for the fact that the collaborators are not really in charge of how their input is used, I might add. The output of an LLM is a math-based prediction of what tokens could follow the sentences in the prompt. Its probability of success is often a matter of chance: the output can be 100% suitable to the task, 0% suitable, or anything in between. But even if the uttered tokens are 100% suitable to the task, its propositional content remains an illusion, because it has no word-to-world direction of fit, to use John Searle's terms. Because there is no mind behind the words, there is no actual reference to any state of affairs in the world. The only reference consists in the billions of tokens already 'ingurgitated'. It is syntax only, basically, that takes the form of semantics (propositional content) on the level of user interface, although behind it is math-only all the way down, as Gerben Wierda explained in his video: https://lnkd.in/dBxuYSKn 2) What is the illocutionary force of an LLM output? The mode in which the propositional content is rendered is entirely a pre-programmed feature designed by the creators of each chatbot. Basically, there is no illocutionary force where there is no mind to impose that illocutionary force on the output. When the chatbot apologizes or congratulates or offers help, it is executing a function automatically. A function that elicits the 'Eliza' effect. 3) What is the perlocutionary effect of LLMs? While the effect of the propositional content may vary, the overarching effect is outright deception. As John Searle puts it, language itself is deontic, in the sense that the mere utterance of sentences presupposes a minimal 'social contract' in that speakers recognize each other as subjects and co-participants to that exchange by which they collectively refer to a state-of-affairs in the world. We cannot help but impose the interpretation of a subject (a mind) being behind those words.

Time to power up your research 💪 Using everyday, conversational language you can create advanced searches with our AI-powered Search Assistant to understand the conversation around your brand. When you have better searches, you’ll find richer insights, more timely alerts, and more accurate reports.

Samidh Chakrabarti and I created a custom GPT to help folks write policies in the style we described. For a first cut at this, it's a shockingly good writing partner that speeds up the process quite a bit (and honestly could be useful beyond writing only for LLMs). As an initial tip - you can follow up your initial request for a policy by asking it to add more specificity and detail to particular categories to really take things to another level.

What’s preventing agencies embracing large language models more fully? Feels like a no brainier for businesses built on a billable hour model, doesn’t it? Maybe it’s because the output is a bit meh. It’s all sort of fine and there are no spelling mistakes but it’s generally a bit beige, no? You read it and think that sounds ok. Then you read it again and think that’s a load of flimsy waffle. Which to be fair, is true for nearly everything humans write too — yes, including this. Maybe it’s because the models are trained on everything and everyone, don’t have any particular values, no axe to grind, no pet hates. They’re bound to spew out something perfectly average, I suppose. This wouldn’t be so bad if what they said was also truthful. So often, they trot out nonsense and make it sound convincing. Again not unusual for humans to do the same. This isn’t a pitch, but our tools work in a different way because they’re taught to focus on specifics and imbued with values and perspectives; experience, almost. It makes the output much weightier and much closer to what you might actually want to put your agency name to.

It’s been more than a week since the official launch of Interprefy Now and our live demo on BBC, and I’m even more thrilled by the positive feedback! Being deeply involved in building and launching a completely new product for the first time was an incredibly exciting experience for me, and I’m sure it would be for any product enthusiast. Going through all the steps that you usually only read about in books and courses, I found the reality to be much more exciting! I learned so much from this journey, especially how crucial the ability to pivot quickly and adapt to unforeseen challenges is. Having a fantastic team around you and the collaboration between each individual might be even more important, as they are the ones who embody this adaptability. This amazing achievement wouldn’t have been possible without our talented teams working tirelessly to find the best solutions for anyone needing multilingual meeting assistance. It’s also worth mentioning that the journey from proof of concept to launch is filled with ups and downs, and maintaining resilience is key to overcoming obstacles. But what is Interprefy Now, you wonder? Interprefy Now offers you instant AI-powered translation for face-to-face interaction, enabling connections in over 6,000 language combinations with AI speech translation and captions. You only need the Interprefy Mobile App and an internet connection. Imagine never having language be a barrier to your communication again. Let’s continue breaking language barriers together and enjoy this journey! Stay tuned for more updates 😊 In the meantime, check out our BBC interview featuring the live demo of Interprefy Now in “Context: AI Decoded”: https://lnkd.in/ezNpfWhS #ProductManagement #Product #InterprefyNow #MultilingualCommunication #AITranslation #AI #AISpeech #InterprefyAI #Interprefy

🚀 Dive into the world of localized news with our latest engineering blog post by Gali Katz and Guy Gonen! Learn how we're leveraging #LargeLanguageModels like ChatGPT to enhance the coverage of local content on news sites. 🔍 📰 Discover the power of implicit location understanding and how it's revolutionizing the way we consume news: https://ow.ly/jBpY50R4X6O #LLMs #LocalizedNews #Engineering #NewsTech

Can chat gpt replace your CMOs or copywriters? The short answer. No. Chat gpt is a phenomenal resource but it's just that, a resource. When it comes to having a voice, at the end of the day, Chat gpt is a machine and cannot convey the messaging with meaning and connection. People buy into a brand that they can relate to and we are not machines but people. We have experiences that allow us to be relatable to the human experience. People want to be seen and heard, not automated. What are your thoughts on Chat gpt replacing CMOs and copywriters?