- TipSeason AI Trends
- Posts
- AI outsmarted 30 of the world's top mathematicians
AI outsmarted 30 of the world's top mathematicians
Generative AI: A Self-Study Roadmap
Welcome to TipSeason Trending AI Newsletter.
In today’s edition, we will cover:
Trending AI News
Trending AI Tools
Best AI Prompt pick for ChatGPT / Gemini / any AI
Also welcome to the new subscribers who joined us this week and staying on top of AI Trends.
Trending AI News:
AI could create these new jobs despite gloomy forecasts, experts say Link
AI outsmarted 30 of the world's top mathematicians at secret meeting in California Link
New research centre to explore how AI can help humans ‘speak’ with pets Link
The Founder of Robinhood Has a New AI Startup. It’s Already Valued at $875 Million Link
Supercharge your AI workflows by connecting to SageMaker Studio from Visual Studio Code Link
Researchers Decode How We Turn Thoughts Into Sentences Link
Artificial Intelligence News for the Week of July 11; Updates from Capgemini, Cerebras, Cloudian & More Link
Generative AI: A Self-Study Roadmap Link
Best AI Prompt Pick:
For ChatGPT, Bard, Claude and other AI chatbots:
Topic: AI for Customer Support & Chatbot Optimization
Prompt:
You are a customer support strategist and chatbot optimization consultant.
Your task is to provide expert-level, structured, and highly actionable guidance on AI-powered customer support and chatbot optimization. Tailor your response based on the following variables:
- [Business Type]: e.g., SaaS, eCommerce, Healthcare, etc.
- [Support Objective]: e.g., reduce ticket volume, increase first-response accuracy, lower churn.
- [Chatbot Platform/Tool]: e.g., Intercom, Dialogflow, Freshchat, Zendesk, or custom-built.
Start with an **Introduction** summarizing the role of AI in enhancing customer support for the given business type and objective. Explain key principles that ensure a scalable, accurate, and customer-centric system.
Then provide a **Step-by-Step Breakdown** covering:
1. Evaluation of current support systems.
2. Design of chatbot workflows using intent detection and fallback strategies.
3. Human-AI collaboration protocols for efficient handoffs.
4. Training loops and feedback incorporation.
Next, list **Best Practices & Common Pitfalls** in chatbot optimization and AI-driven customer service.
Finish with **Actionable Recommendations**:
- Practical improvements for the chatbot and support team.
- Key performance metrics aligned with the defined [Support Objective].
- Strategies for feedback loop integration and model refinement.
Use a professional, structured tone. Format the output into sections with clear headers and bullet points where useful. Avoid vague or generic advice.
Don’t use AI words like: whether, unleash, unlock, craft, leverage etc, phrases like: are you looking, whether you are, tired of, struggling to or similar ones.
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Trending AI Tools:
Thriendly 10X Faster way to grow and monetize on Threads and X with AI
avtrs.ai Mobile app that generates customizable avatars.
Eilla AI Creates diverse text outputs.
AI Bot Chatbot platform for messaging apps.
AI Chat Assistant – ChatNow on the App Store Task assistant chatbot for mobile Q&A.
By the way here are few ways we can help.
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