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:

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