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How I Became a SaaS Content Writer (Content Writing for SaaS Companies)

Elna Cain

For example, to write tech-related posts for an SEO tool or web analytics tool, you need to understand the nuances of how search engines crawl and index web pages or the impact of different website architectures on SEO. You’ll need to explain complex concepts in a way that’s easy to understand. Strong analytical skills.

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Large Language Models (LLMs): What They Are and How They Work

Grammarly

LLMs are considered “large” due to their complex architecture. How large language models work You can understand how an LLM works by looking at its training data, the methods used to train it, and its architecture. The flexibility provided by this architecture allows LLMs to generate more realistic and accurate text.

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GPT-3 Explained: What You Should Know

Grammarly

GPT-3’s efficacy stems from its basis in an advanced type of machine learning known as deep learning , which utilizes a specific architecture called the transformer. It reduces the need for manual feature engineering but requires significant human effort in designing network architectures and tuning parameters.

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The Nuts and Bolts of Becoming an Independent Editor

Jane Friedman

Photo by Markus Spiske on Unsplash Today’s post comes from Book Architecture ’s Stuart Horwitz and Madison Utley, the team behind the Independent Editor Podcast. The beginnings of effective networking can be as simple as communicating what you do well, with no hesitation or shame, to “your people.”

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GPT-3 vs. GPT-4: What’s the Difference?

Grammarly

This size is determined by the quantity of data used for pre-training and the number of parameters in the model architecture. Model size is one factor, but the quality of the training data, model architecture, and training procedures also significantly impact a model’s real-world capabilities. maxes out at 16,385 tokens.

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Google Gemini 101: What It Is and How to Use It

Grammarly

Large Language Models, including those that power Gemini and ChatGPT, use a specific type of model architecture called a transformer. Google researchers introduced the transformer architecture in 2017, and it became a game changer in machine learning for several reasons: It requires fewer computational resources.

IT 123
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DALL-E 101: What It Is and How It Works

Grammarly

This model is based on a transformer architecture. DALL-E 3 Little is known about the architectural differences between DALL-E 2 and DALL-E 3. Hobbyists in areas like woodworking and sculpting can draft visualizations of their concepts without investing in costly software.

IT 115