The Power of Data and AI: Enhancing Blog Post Titles with GPT-3 and Hacker News

The Power of Data and AI: Enhancing Blog Post Titles with GPT-3 and Hacker News

In the world of blogging, a captivating title can make all the difference. It's the first thing readers see, and it determines whether they click through to read the full post or move on. Crafting a compelling title is both an art and a science, but what if there was a way to optimize this process using the power of data and artificial intelligence (AI)?

OpenAI's GPT-3 (Generative Pre-trained Transformer 3) has gained significant attention for its impressive language generation capabilities. However, beyond its default capabilities, GPT-3 also allows for fine-tuning on custom data. This lesser-discussed feature opens up a world of possibilities, and one such application is creating a blog post title optimizer.

To create an effective blog post title optimizer, we need quality data to train our model. Hacker News data proves to be a valuable resource for several reasons. Firstly, each submission on Hacker News undergoes community validation by a large number of people. This validation ensures that the selected titles have a certain level of quality and appeal. Additionally, Hacker News submission titles cover a wide variety of idiosyncratic styles, making them ideal for training a model that can generate diverse and engaging titles.

Acquiring Hacker News submission data in bulk is made easy with BigQuery, a powerful data analytics platform. However, there is a challenge when it comes to selecting the "bad" titles for training. The dataset, as it is, is unbalanced, with approximately 63,000 titles receiving fewer than 100 points. This unbalance can lead to flawed training results. To address this issue, we have two potential solutions. The first is to repeat the good posts to roughly equal the bad posts, and the second is to take a subset of bad posts that roughly equal the number of good posts.

Now that we have a tool to determine the quality of blog post titles, the next step is to generate alternate titles that maintain the same meaning. Surprisingly, GPT-3's latest Instruct model is capable of this. Even with a concise input title and the recency of DALL-E 2, InstructGPT can infer that the AI creates something and work from that. This ability is truly impressive and opens up endless possibilities for generating alternative titles.

To put this into practice, we begin by choosing the title of a technical blog post that we want to optimize. We then use InstructGPT to generate up to six alternate titles. These generated titles may require some cleaning up, such as splitting and stripping whitespace. Once cleaned, we can use the finetuned Hacker News GPT-3 to determine the probability that each alternate title is a good title.

Organizing the generated titles and their probabilities in a table allows us to easily compare and sort them in descending order. The results are promising, with most of the alternate titles surpassing the original title in terms of their predicted probabilities of being a good post. This discovery prompts us to consider retroactively changing the title to improve its search engine optimization (SEO) potential.

Armed with this newfound knowledge, we can tweak the input and feed it back into the optimizer, potentially achieving iterative improvements in our blog post titles. By leveraging the power of GPT-3 and the vast amounts of data available from Hacker News, we can revolutionize the way we craft blog post titles, ultimately driving more traffic and engagement to our content.

In conclusion, the combination of data, AI, and creativity can elevate our blog post titles to new heights. Here are three actionable pieces of advice to optimize your blog post titles:

1. Embrace the power of data: Utilize platforms like Hacker News and BigQuery to access large datasets that can enhance your training process. Quality data leads to quality results.

2. Experiment with AI models: Explore the capabilities of models like GPT-3 and InstructGPT to generate alternative titles and gain fresh perspectives. Don't be afraid to let the AI do some of the creative heavy lifting.

3. Continuously iterate and refine: Treat your blog post titles as a work in progress. Use the insights gained from analyzing probabilities and user engagement to refine and optimize your titles over time.

By combining the strengths of human creativity and AI-powered optimization, you can create blog post titles that captivate and compel readers, ultimately driving the success of your blog. So, embrace the possibilities and unlock the potential of data-driven title optimization today.