Symbols of limitations and misconceptions associated with large language models surround ChatGPT, a central representation of the potential of artific

Common Misconceptions about the Capabilities of ChatGPT & Large Language Models (LLM)

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As an entrepreneur and consultant, I’ve spent years designing systems and implementing machine learning (ML) strategies using pre-trained models like those provided by OpenAI. During this time, I’ve talked to many business leaders seeking to improve their businesses with artificial intelligence (AI) and have encountered a few common misconceptions about what Large Language Models (LLMs), …

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Maximize Your AI Success: Embrace Flexibility and Agility

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Are you looking to implement AI in your product or service but need help figuring out where to start? For example, are you deciding whether to fine-tune, prompt engineer, or train a custom model? It can be overwhelming with all the options and advancements in AI technology. However, maximizing flexibility and agility must be the …

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Alternatives to Fine-tuning

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People commonly refer to fine-tuning when attempting to address their problems with AI. In a recent conversation with an OpenAI Ambassador, I was told that they “convince 90% not to use fine-tuning to solve their problem,” confirming my hunch that fine-tuning is one of the most misunderstood tools in AI. Fine-tuning is often more complicated and less …

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Introducing Smart Connections: The AI-powered Obsidian Plugin for Seeing Your Most Relevant Notes in Real-time

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Are you tired of sifting through countless notes in your Obsidian vault to find the information you need? Introducing Smart Connections, the AI-powered plugin that revolutionizes how you organize and access your notes in Obsidian. As someone who has struggled with: I understand how frustrating it can be to lack the ability to work with your …

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Revolutionizing Search: How Hypothetical Document Embeddings (HyDE) Can Save Time and Increase Productivity

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Tools like the OpenAI Embeddings API are changing the way search is performed. Instead of matching keywords, a language model converts text into vectors. These vectors represent the text using hundreds or even thousands of dimensions mathematically. This way, when searching, matches can be made based on the underlying intent of the query instead of just keywords. …

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Using ChatGPT to Write a 2,000 Word Article (Why I wouldn’t, but how I would do it)

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While technically speaking, you cannot generate a 2,000-word article with ChatGPT, it can be done if you break the content into smaller pieces. In addition to the technical limitations, there are also style limitations to consider when generating content with ChatGPT. The style limitations are why I wouldn’t use ChatGPT. In this article, I will …

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Testing Verbose prompts in ChatGPT

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An experiment based on prompts from the awesome ChatGPT prompts GitHub repo. Which performs better, asking a simple question to ChatGPT? Or prefacing the question with a verbose prompt? “Machine Learning” Test Question sourced from the repository: Full prompt from the repository: Test using just the question with ChatGPT: Test using the full prompt from the GitHub …

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The Role of AI in Education and Assessing Student Learning

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In our conversation, Sean Dagony-Clark and I discussed the role of AI in education and the importance of assessing students’ ability to think and generate ideas independently. While Sean argues that incorporating AI in education should be done after students have demonstrated their ability to think and generate ideas, I believe AI can be used …

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How to Use Generative AI in Writing Without Losing Creativity and Originality

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Introduction: What is generative AI, and how can it be used in writing? Generative AI, also known as natural language generation, is a type of artificial intelligence that uses algorithms and data to generate human-like text. This technology has the potential to revolutionize the writing industry by providing writers with a powerful tool for enhancing …

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