🛠️Building an AI Chatbot: Tutorial.

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Happy Friday,

Today we share how easy it is to build a chatbot and AI agents using GTP-Trainer, we delve into the future of search engines, and how NYC became an AI powerhouse.

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• 📰 News and Trends.
• Building an AI Tax Code Chatbot with GPT-Trainer
• How AI Engines Like OpenAI Are Challenging Google’s Dominance.
• Publications I am currently reading and recommending
• 🧰 AI Tools (Productivity III)
• How New York City Became An Emerging AI Powerhouse

📰 AI News and Trends

• Tesla is preparing to launch its in-car voice assistant (Electrek)
• Microsoft bans US police departments from using enterprise AI tools for facial recognition (TC)
• The Great Talent Dividend and NYC AI Opportunity (LuxCapital)
• Tim Cook to ‘hint’ at upcoming Apple AI features during iPad launch (9to5)
• Four start-ups lead China’s race to match OpenAI’s ChatGPT (FT)
• Models, as well as musicians, are selling their AI Likenesses (WSJ)
• We can split light by a prism, and sounds by tones, but odor is too complex and personal? AI may solve this puzzle (Aeon)

🌐 Other Tech news

• SpaceX Adds Cosmic Tourism Offering to Website (Flying)
• Facial Recognition apps are being hacked, this is extremely Dangerous (Wired)
• Online course platform Kajabi allows creators to build their own branded apps (TC)
• Huawei Secretly Backs US Research, Awarding Millions in Prizes (Bloomberg)
• Hyundai is spending close to $1B to keep self-driving startup Motional alive (TC)
• Social media filters are driving an alarming surge in facial injections (BI)

Building an AI Tax Code Chatbot with GPT-Trainer

Last Monday, we introduced a tutorial on AI agents. Today, we’re excited to partner with GPT-Trainer, a user-friendly AI chatbot builder, to guide you through creating your own AI agents. For this demonstration, we’ll be constructing a Tax Code Chatbot.

1. Sign In to GPT-Trainer: Start by logging into the GPT-Trainer platform using your credentials.

2. Load Your Data

• Navigate to the ‘Sources’ section to upload various types of data including PDF files, Word documents, links, or even entire Google Drive folders to train your chatbot.

3. Customize Your Chatbot

• Go to ‘Settings/Appearance’ to personalize the appearance of your chatbot. This can include changing themes, fonts, or chatbot avatars.

4. Test Your Chatbot

• Click on ‘Preview’ to test how your chatbot interacts based on the loaded data. This is an iterative process; you can return to ‘Sources’ to adjust your data as needed until you achieve the desired interaction.

5. Deploy Your Chatbot

• Once you’re satisfied with the functionality and appearance of your chatbot, you can deploy it in various ways:
• Directly to your website.
• Within Slack channels.
• On a Notion page.
• Or simply via a standalone link, which is what we did for this tutorial.

Check out the chatbot we deployed here and let us know your thoughts. Your feedback is invaluable and helps us improve future tutorials.

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How AI Engines Like OpenAI Are Challenging Google’s Dominance.

• AI Competition: AI search engines like Perplexity, You.com, and OpenAI are challenging Google’s dominance.
• Search Evolution: Traditional text-based searches are evolving into conversational interfaces that provide direct, sourced answers.
• Innovative Approach: OpenAI aims to transform search with a new platform, potentially launching at an event on May 9th.

The era of Google facing competition from other search engines is upon us. AI platforms like Perplexity, You.com, and now OpenAI with its upcoming new search engine are poised to challenge Google’s dominant business model. However, this won’t be without resistance; Google continues to enhance its AI search capabilities and its search ad revenue was $48.02 billion, a 12.7% increase in Q4 2023. Google’sAdditionally, the way we interact with search engines is evolving — moving away from the traditional text-input and link-output model, which often features sponsored or SEO-manipulated results.

Now, platforms like Perplexity and PI offer conversational search interfaces that provide sourced answers or ongoing dialogues about specific topics. At the forefront of this shift, OpenAI, leveraging Bing, aims to transform how we access and utilize information. CEO Sam Altman expressed on a podcast that OpenAI’s goal isn’t just to compete with Google but to revolutionize the search paradigm entirely. He mentioned the potential launch of a search-focused platform (search.chatgpt.com, not yet live) at an upcoming in-house event on May 9th at 10 am.

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📰 Publications I am currently reading and recommending:

• Smart Solopreneur — A newsletter designed for experienced online solopreneurs, like strategists, copywriters, freelancers, and consultants.
• Growth Forum — Learn how to build a repeatable sales process creating a pipeline full of qualified deals.

🧰 AI Tools

Productivity IV

• Adept — Useful general intelligence.
• AutoRegEx — AI-based Text to Regex conversion.
• NotionAI — AI Writing tool.
• Dystr — AI-powered analysis/cloud runtime.
• GPT-Trainer — A must-try AI Agent Platform
• Text Blaze — Automate Anything With AI & Use it Anywhere.*

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How New York City Became An Emerging AI Powerhouse

New York City has established itself as a formidable AI hub, thanks to its robust ecosystem supported by prestigious universities and significant investments. With leading companies like Hugging Face and Runway calling NYC home, the city has leveraged its dense network of Fortune 500 companies and vibrant cultural scene to attract top AI talent. The governor recently announced a $400 million initiative to further boost AI research, underscoring the city’s commitment to technological leadership.

For cities looking to harness the AI talent dividend, now is the time to act. As NYC, a well-rounded strategy not only attracts the best in the field but also sets the stage for future innovations.

Steps for Other Cities:

1. Build Educational Partnerships: Collaborate with local universities to nurture AI talent.
2. Attract Funding: Secure investments and government support for AI initiatives.
3. Foster Community: Organize AI events and networks to build a collaborative ecosystem.
4. Adapt Work Environments: Embrace flexible work models to attract and retain talent.
5. Integrate AI with Local Strengths: Leverage dominant industries to develop specialized AI applications.
6. Maintain Transparency and Strategy: Focus on clear, strategic growth and AI integration.

These guidelines can help cities cultivate a thriving AI environment akin to NYC’s.