Building AI Software By Leveraging LLMs, Bring GPT To Internal Knowledge Management & Make Your Content More Personal With AI

Top 5 AI use cases of the week

👋 Hello and welcome back to the newest edition of Creators’ AI. If you saw our last post(link to tools post), you might wonder if your favorite writer has been replaced by AI yet. But here’s a confirmation: I am still alive and I have prepared some great AI use cases for you today!

So please grab a cup of coffee ☕, sit back, and let's explore the exciting world of AI!

This issue covers the following:

1. How To Design Architecture of AI Software With LLMs 🌟

2. How Mindmaps Can Make AI Content More Personal and Relevant

3. How to Integrate ChatGPT With Internal Knowledge Base & Question-Answer Platform 👀

4. How to Improve Your Trading Cycle With ChatGPT & Bing Chat 🔥

5. How to mimic personalities for NPCs using AI 🌆

How To Design Architecture of AI Software With LLMs🌟

Unlocking the full potential of LLMs in your software applications requires more than just a thin layer above an LLM API. To truly differentiate your product, you need to design and build various components that tame the underlying models and align them with your application's use cases and data. This entails techniques like grounding LLMs, maintaining user interactions, and breaking down objectives into smaller tasks.

Instead, by leveraging the language understanding and processing capabilities of LLMs, providing context-specific knowledge, and utilizing them for reasoning, review, evaluation, and text transformation, you can build powerful and reliable applications that outperform basic implementations. By architecting your application with a combination of LLMs and grounding techniques, you can overcome limitations and deliver exceptional user experiences.

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How Mindmaps Can Make AI Content More Personal and Relevant

While ChatGPT-4 and similar tools excel at automation, they often produce generic content. To address this, the use of mindmaps has emerged as a powerful technique. Mindmaps offer a visual representation of information that mirrors human thinking, aiding in organizing ideas and promoting clearer thought processes. By leveraging an application like MindNode to create mindmaps and exporting them in OPML format, creators can provide structured outlines for ChatGPT-4 to follow.

This approach allows content creators to focus on ideas while externalizing them in a concrete way, fostering the creation of more personalized and engaging content. The combination of ChatGPT-4 and mindmaps represents an exciting frontier in content creation, blending the efficiency of AI with the unique touch of human creativity. As we continue to explore and innovate, the possibilities for AI-generated content are limitless.

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How to Integrate ChatGPT With Internal Knowledge Base & Question-Answer Platform 👀

In the realm of internal knowledge management, integrating ChatGPT with an organization's internal knowledge base and question-answer platform holds great potential. While ChatGPT excels at providing general information, the challenge lies in leveraging its power for internal knowledge management.

To address this, a simple method involves enhancing the existing Large Language Model through in-context learning and prompt engineering. In-context learning allows for flexibility and cost-effectiveness, while prompt engineering optimizes the prompts used to interact with the language model. By adopting a Retrieval Augmented Generation workflow, relevant documents from the internal dataset can be retrieved through a search process, providing additional context to ChatGPT for generating accurate answers.

Read more by clicking here.

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How to Improve Your Trading Cycle With ChatGPT & Bing Chat🔥