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As a chatbot developer online, www.cloud9bots.com/ has gone on to carve a niche in the market. If you are looking for chatbot making services then visit these experts right away!
www.cloud9bots.com/ is a chatbot maker that has managed to carve a niche in the industry with its efficient service. To know more about it, visit the website right away!
The Community Affairs Division of Punjab Police organised the launch event of Chatbot Application for missing children at Mohali campus of ISB. The event was graced by the presence of Hon'ble Chief Minister of Punjab, Sardar Bhagwant Mann, DGP Punjab Police, Gaurav Yadav, IPS, and ADGP Community Affairs, Gurpreet Kaur Deo, IPS.
Beim Generationendialog “Künstliche Intelligenz” kamen Schüler:innen der 6.-8. Jahrgangsstufe und Senior:innen zusammen, um gemeinsam Künstliche Intelligenz kennenzulernen.
In einem interaktiven Erlebnisparcours haben die Teilnehmenden spielerisch gelernt, wie KI eingesetzt wird und diese genutzt werden kann – von Stimmgeneratoren, über Bilderkennung bis hin zu Chatbots. In generationenübergreifenden Kleingruppen wurden außerdem zentrale Fragen zur KI diskutiert: Was ist KI eigentlich? Welche Chancen und Risiken birgt der Einsatz von KI? Welchen Einfluss hat KI auf unser Leben? Und sollte es Regeln beim Einsatz von KI geben? Im Austausch mit Expert:innen und Politiker:inne wurden diese und weitere Fragen erörtert:
- Armand Zorn, Mitglied des deutschen Bundestages | SPD
- Matthieu Binder, Digital Human Rights Legal Professional | iRights.Lab
- Anna Albrecht, Moderatorin & Reporterin | tagesschau, NDR und extra3 (Moderation)
Mehr erfahren: www.basecamp.digital/event/basecamp-themenwoche-generatio...
ÜBER DIE BASECAMP THEMENWOCHE:
Vom 16. – 20. Oktober 2023 drehte sich bei uns im BASECAMP alles um das Thema „+TECH“. In dieser Woche werden wir gemeinsam mit unserer Community über alles diskutieren, was neu, aufregend und spannend in der bunten, digitalen +TechWelt ist.
Weitere Informationen: www.basecamp.digital/themenwoche-2023/
Fotos: Henrik Andree
The Community Affairs Division of Punjab Police organised the launch event of Chatbot Application for missing children at Mohali campus of ISB. The event was graced by the presence of Hon'ble Chief Minister of Punjab, Sardar Bhagwant Mann, DGP Punjab Police, Gaurav Yadav, IPS, and ADGP Community Affairs, Gurpreet Kaur Deo, IPS.
The Community Affairs Division of Punjab Police organised the launch event of Chatbot Application for missing children at Mohali campus of ISB. The event was graced by the presence of Hon'ble Chief Minister of Punjab, Sardar Bhagwant Mann, DGP Punjab Police, Gaurav Yadav, IPS, and ADGP Community Affairs, Gurpreet Kaur Deo, IPS.
Augmented Reality Dubai, Industrial Augmented Reality, Projection 3D Mapping Kuwait, Interactive Walls, Mixed Reality UAE, Artificial Intelligence Companies Qatar, Gesture Based Robot Saudi Arabia. We reveal why the use of AR in an enterprise is so compelling and how you can benefit
Beim Generationendialog “Künstliche Intelligenz” kamen Schüler:innen der 6.-8. Jahrgangsstufe und Senior:innen zusammen, um gemeinsam Künstliche Intelligenz kennenzulernen.
In einem interaktiven Erlebnisparcours haben die Teilnehmenden spielerisch gelernt, wie KI eingesetzt wird und diese genutzt werden kann – von Stimmgeneratoren, über Bilderkennung bis hin zu Chatbots. In generationenübergreifenden Kleingruppen wurden außerdem zentrale Fragen zur KI diskutiert: Was ist KI eigentlich? Welche Chancen und Risiken birgt der Einsatz von KI? Welchen Einfluss hat KI auf unser Leben? Und sollte es Regeln beim Einsatz von KI geben? Im Austausch mit Expert:innen und Politiker:inne wurden diese und weitere Fragen erörtert:
- Armand Zorn, Mitglied des deutschen Bundestages | SPD
- Matthieu Binder, Digital Human Rights Legal Professional | iRights.Lab
- Anna Albrecht, Moderatorin & Reporterin | tagesschau, NDR und extra3 (Moderation)
Mehr erfahren: www.basecamp.digital/event/basecamp-themenwoche-generatio...
ÜBER DIE BASECAMP THEMENWOCHE:
Vom 16. – 20. Oktober 2023 drehte sich bei uns im BASECAMP alles um das Thema „+TECH“. In dieser Woche werden wir gemeinsam mit unserer Community über alles diskutieren, was neu, aufregend und spannend in der bunten, digitalen +TechWelt ist.
Weitere Informationen: www.basecamp.digital/themenwoche-2023/
Fotos: Henrik Andree
Availability of services 24/7 will help engage customers and empower employees, as KFH continues its ambitious digital transformation journey.
‘Artificial Intelligence chatbots can support and scale business teams in their ability to serve customers,’ says Mandani
Kuwait, 5-August-2018: Kuwait ...
17 July 2025, Rome, Italy. FAO Director-General QU Dongyu. Pilot Launch of AI-powered HR Chatbot.
Photo credit must be. given: ©FAO. Editorial use only. Copyright ©FAO.
The interest in chatbots is growing every day. As more and more people are getting familiarized with chatbots, the ask for quality bots is only increasing. Bots can no more be query answering machines. They have to be really good. Now, how do you determine if a bot is good or bad? Well, you can say a good bot behaves more like a human. That’s true, yet, there is a need to quantify the human-like behavior of the bot i.e human like chatbot. To know more information, visit our site and book a demo with us!!
The chatbots' most significant advantage is their quick and engaging service. Read more about this in my article!
www.knowourworldbetter.com/post/how-chatbots-transform-mo...
#chatbots #ai #technology #science #customerservice #knowourworldbetter
SmartBot's ML-powered platform lies at the core of the design, prototyping, testing, validating, and deployment of AI-driven Chatbots. This Conversational AI Platform supports the development of custom Enterprise Bots that can easily integrate with any application – even an enterprises’ custom application ecosystem.
Who's safe kiddos? Glad I don't make a living in Information Technology or work in an office doing any manual input... Interesting now with the way we are going with AI. "LLM" Large Language models will probably wipe out a lot of Data Entry Clerks and Administrators. they are highly susceptible to automation due to repetitive, structured, and unstructured data handling: Customer Service Representatives & Support: Chatbots and AI assistants/agents are managing routine customer inquiries and internal queries. Junior Software Developers & Coders: AI-powered tools are now able to write, debug, and test code, reducing the need for entry-level human developers.
Quality Assurance (QA) Testers: Automated testing tools are becoming more intelligent and faster than manual testers.
Graphic Designers & Content Writers: Generative AI tools (e.g., DALL-E, GPT) can rapidly produce content and designs, lowering demand for entry-level creative work.
Translators and Interpreters: High-level AI language models have rendered traditional translation work largely obsolete.
IT Support/System Administrators: Routine troubleshooting is increasingly handled by AI diagnostics.
I was contracted in the early 2000's by Dell Computers through "Tecnet" --my employer at the time. Dell was based out of Texas and if you reached the call center, there was a person with a strong Texas drawl - similar to the traditional "Deep South" drawl- hard to understand. This soon changed to cost saving remote call centers in India. This arrangement didn't last long at first because people, especially the Texans couldn't understand the East Asian accent. Funny to think but a lot of us couldn't understand either of these parties but the Texans talking to the East Asians is funny to ponder. Call Centers went back to Texas temporarily but then returned to India shortly after. I remember reading somewhere they had training programs for people to lose their accent in Asia call centers.
BB and Reddit: My searches 2026. India Built the World’s Back Offices in mass. A.I. Is Starting to Shrink It. "Artificial intelligence promises to automate the white-collar work that made India a tech powerhouse. The country is racing to adapt before it’s too late."
BB--I'm trying to understand AI myself and help others in laymen's terms!
Linguistic Intelligence is really just the beginning of AI.
What is the Socratic Method of teaching?
Instead of giving information and facts, an instructor using the Socratic method of teaching asks students a series of open-ended questions (questions with more than a yes or no answer) about a specific topic or issue. In turn, the students can also pose questions of their own.
So , I will include the betterment Ideas of LLM instead of the best word inference in the chain that is typical of LLM--
LLM's are so much better when instructed to be socratic.
This idea basically started from Grok, but it has been extremely efficient when used in other models as well, for example in Google's Gemini.
Sometimes it actually leads to a better and deeper understanding of the subject you're discussing about, thus forcing you to think instead to just consume its output.
It works with some simple instructions saved in Gemini's memory. It may feel boring at first, but it will be worth it at the end of the conversation.
Of course AIs do not have critical thinking, but they can trigger and impel their user to activate their own critical thinking capacity. That is the value of a Socratic exchange, it aids the human user in the use of their own, perhaps weak, critical analysis. Over time and repeated use of Socratic exchanges with an LLM, a user will develop greater, better than before, cognitive abilities. I'm not keeping the references to the proof, but this has been demonstrated and published in Psychology journals.
When you tell an LLM to be Socratic, you aren’t magically making it “smarter.” What you’re really doing is reorganizing the interaction loop. Rather than the model collapsing uncertainty into one elegant, finalized response, you’re prompting it to keep the reasoning space open longer. That alters the nature of the conversation.
For example, if you ask Why do startups fail?
a default response might give you a clean list: poor product-market fit, funding issues, bad leadership, etc. It feels complete. But if the model is instructed to be Socratic, it might respond with: Are you asking from the perspective of a founder, investor, or policymaker? or Are you more interested in early-stage failure or scale-stage collapse?
Suddenly, the reasoning space widens before it narrows. The discussion becomes shaped rather than delivered.
LLMs are essentially next-token predictors trained on patterns of conversation and exposition.
By default, they optimize for completion ..they produce something coherent and finished. In Socratic instruction, the objective shifts from answer production to guided exploration. And that shift alone often increases engagement. Consider a student asking, “What is justice?”
A standard response might summarize Rawls, Aristotle, and utilitarianism in a neat paragraph.
A Socratic version might ask: Do you think justice is about fairness, equality, or desert? and Can a system ever produce unequal outcomes?
Now the student has to think. The model hasn’t just transferred information, but it has activated cognition.
Here’s the additional perspective: It’s not only about clearer understanding for the user but also about distributed cognition between human and model.
When the model asks questions back, it externalizes intermediate reasoning steps that would otherwise remain compressed. In a typical answer, much of the reasoning is hidden behind the final synthesis.
In a Socratic exchange, those intermediate steps become interactive checkpoints.
Take a practical case: User: How do I improve my productivity? Default model: gives 10 tips.
Socratic model: What currently distracts you most is digital interruptions, unclear goals, or energy levels?
Now the human provides constraints. The model adapts. The final strategy emerges collaboratively. The intelligence is co-constructed rather than pre-packaged.
So the gain is not merely a feature of the model, it’s a feature of the interaction protocol.
There’s also a cognitive forcing function at work. When models ask clarifying questions, they narrow the hypothesis space and reduce hallucination risk. Instead of guessing what the user means, they query ambiguity directly.
For instance, if a user asks, “Explain the impact of the revolution,” that’s dangerously underspecified. Which revolution? French? Industrial? Digital? A default answer risks misalignment.
A Socratic response might begin: “Which revolution are you referring to, and in what context — political, economic, or technological?” That clarification increases epistemic alignment before any claim is made.
However, there is a tradeoff. Socratic prompting increases depth but reduces throughput. It is inefficient if the task is quick synthesis. If you ask, “What’s the capital of Japan?” a Socratic reply asking, “Are you preparing for a geography exam or planning travel?” is unnecessary friction.
It shines when the task involves: Conceptual learning (e.g., understanding entropy beyond a definition) Moral or philosophical inquiry (e.g., debating free will) Ambiguous problem framing (e.g., defining strategy before execution) Creative exploration (e.g., shaping a novel’s theme through iterative refinement) It is less useful for: Factual lookups Structured output tasks (e.g., “Format this as JSON”) Deterministic problem-solving (e.g., “Solve this equation”)
Socratic prompting does not universally enhance LLM performance. It restructures the reasoning topology of the exchange. It shifts the model from an answer engine to a cognitive scaffold. And perhaps the deeper insight is this: as LLMs grow more capable, the limiting factor increasingly becomes question quality rather than raw model intelligence.
For example, two users can query the same powerful model.
User A asks: Tell me about economics. User B, guided Socratically, refines through dialogue: I’m trying to understand why inflation hurts borrowers differently than lenders — can we unpack that step by step?
The second interaction produces deeper understanding not because the model changed, but because the questioning improved. A Socratic mode doesn’t merely enhance outputs. It upgrades the human participant in the loop. That is why it feels more powerful.
Meg's new release is an AI chatbot HUD for Second Life. Powered by the latest large language models (LLMs), the 10 characters — including bratty Mei and gentlemanly Kai — were crafted with painstaking care, so they're guaranteed to be fun to talk to. PG-friendly of course, and Adult is OK too — you'll seriously get hooked!
How to use: first, wear it yourself in AFK mode. It will automatically chat with visitors who sit on the same furniture as you. You can also wear it on your alt to enjoy conversations in multi-person settings — it reads the room and is careful not to talk too much.
Conversations can be remembered, so you can build relationships over the long term. No complicated setup or API connection needed — just wear the HUD and you can start using it right away. LLM usage fees are included in the product price (1,500 – 9,000 replies), so no extra costs. There's a free DEMO with 100 replies available, so please give it a try!
📍 Main store: maps.secondlife.com/secondlife/CENTOMONDI/203/231/1905
Marketplace: marketplace.secondlife.com/stores/270381?search%5Bkeyword...
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FORTUNE Brainstorm Tech 2023
Tuesday July 11th, 2023
Park City, Utah
USA
11:30–11:45 AM
IN SEARCH OF…A BETTER SEARCH
As the A.I. arms race plays out, the original tech giants are fiercely competing to steer the direction of an inevitably A.I.-driven future. Microsoft was the first Big Tech company to announce an A.I. powered chatbot, and in doing so, it learned a few hard lessons about the power and unpredictability of generative A.I. As the company sets its sights on transforming its Bing chatbot from a product to a platform, can it continue to gain momentum as it looks to responsibly reinvent the future of search?
Jordi Ribas, Corporate Vice President, Search and A.I., Microsoft
In conversation with: Jeremy Kahn, FORTUNE
Photograph by Stuart Isett/Fortune
As Microsoft MVP. I hosted a meetup about Microsoft Technology on Azure and Microsoft Bot Framework.
This is a kind of mini-workshop so we brought our laptop to create a bot and deploy on Microsoft Azure for Facebook Messenger.
I planned to go to universities and academy to host this kind of meetup again, soon.
By Teerasej Jiraphatchandej