Let's learn about Gpt via these 74 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology.
Generative Pre-trained Transformer models, powerful AI language models capable of generating human-like text, revolutionizing content creation, translation, and natural language understanding.
1. Why Is GPT Better Than BERT? A Detailed Review of Transformer Architectures
Details of Transformer Architectures Illustrated by BERT and GPT Model
2. AI-Generated vs. Human-Written Text: Technical Analysis
Explore an in-depth comparison of AI-generated vs human-written text, highlighting the role of perplexity and burstiness in language models.
3. How ChatGPT-5 Will Change the World
ChatGPT-5 and AGI is on the way and it is bound to change the world as we know it.
4. How to Install PrivateGPT: A Local ChatGPT-Like Instance with No Internet Required
A powerful tool that allows you to query documents locally without the need for an internet connection. Whether you're a researcher, dev, or just curious about
5. Gptrim: Reduce Your GPT Prompt Size by 50% For Free!
Introducing gptrim, a free web app that will reduce the size of your prompts by 40%-60% while preserving most of the original information for GPT to process.
6. Prompt Engineering 101 - II: Mastering Prompt Crafting with Advanced Techniques
Learn how to effectively communicate with machines with this 101 post series on Prompt Engineering
7. ChatGPT: A Guide on How to Use It, Its New Features, and More
read this post carefully to learn how ChatGPT will help you improve and expand your knowledge rather than take your job!
8. OpenAI's Whisper: Paving the Way for the Voice Interface Revolution
Advanced speech recognition systems like Whisper will forever change how we relate to computers and AI models. See the future in action with these new apps.
9. Will Programmers Really Be Replaced by AI?
What I mean is that these AI tools, although very useful, don't do magic. But they can be good assistants to programmers.
10. GPT-3 is Already Making Programmers' Lives Better and There's More to Come
GPT-3 was meant to understand and construct natural language. But as these tools prove, it's pretty good at programming languages, too.
11. How to Fine-tune and Optimize GPT Assistants with OpenAI
Discover how Weblab Technology fine-tunes GPT assistants with OpenAI for powerful natural language processing.
12. The Driving Force Behind ChatGPT
Inspired by living beings, reinforcement learning teaches machines (or agents) to gather positive rewards and avoid negative ones in their environment.
13. OpenClaw: An AI Lobster That Gets Work Done
OpenClaw is an open source AI assistant that runs on your machine. Learn how to install it, set it up, and use it for daily tasks.
14. GPT-4 Turbo: The Most Monumental Update Since ChatGPT's Debut!
GPT-4 Turbo: catch up on all the updates from OpenAI in this quick article!
15. No Coding Required: 5 Mind-Blowing Uses of GPT-4
What can actually be done using GPT-4?
16. Prompting: The Unique Language of AI
An interview with Sander Schulhoff, creator of learnprompting.org, the largest prompting resource online.
17. 3 Different Organizations and How They Use OpenAI Technology
A look at 3 different platforms and how they are using OpenAI technology
18. GPT-4V Unveiled: From Detecting Emotions to Ordering Food - You Won't Believe What Else It Can Do!
GPT-4V Unveiled: From Detecting Emotions to Ordering Food - You Won't Believe What Else It Can Do!
19. How AI Prompts Get Hacked: Prompt Injection Explained
ChatGPT, manipulated by the user, was instructed to perform tasks under the prompt "Do Anything Now," thereby compromising OpenAI's content policy.
20. How GPT-4 Built a New Multimodal Model
LLaVA: Bridging the Gap Between Visual and Language AI with GPT-4
21. Bard and ChatGPT — A Head To Head Comparison
Comparing both large language models side by side and also explaining which one is the better of the two.
22. 10 Tips to Take Your ChatGPT Prompts to the Next Level
Maximize your ChatGPT experience with 10 expert tips for crafting precise prompts and queries, enhancing interaction quality.
23. How to Use GPT-4 for PDF Data Extraction: A Comprehensive Guide
In this article, we explore the current methods of PDF data extraction, their limitations, and how GPT-4 can be used to perform question-answering tasks.
24. The 5 Most Useful GPTs for Your Crypto Journey
Discover the best AI-powered Crypto GPTs to boost your crypto knowledge and trading, from beginner tips to advanced tools for smarter decisions.
25. GPT-3 in Your Pocket? Why Not!
This tutorial will show you how to create a GPT-powered chatbot for the Viber app, using the WordPress and no-code plugin Convoworks WP.
26. How to Build Your Personal GPTs: From Zero to AI Hero
How to Build Your Personal GPTs: a step-by-step guide
27. OpenAI Models Face-Off: GPT-4 vs. GPT-3
The article compares GPT-4 with its predecessors, GPT-3 and GPT-3.5 in 6 key areas: model’s capabilities, token limits, input types, steerability, fine-tuning,
28. Transformers: Age of Attention
Simple explanation of the Transformer model from the revolutionary paper "Attention is All You Need" which is the basis of many advanced AI systems.
29. The Current State of GPT4All
Today, GPT4All is focused on improving the accessibility of open source language models.
30. The New Data Engineering Landscape: DataOps, VectorOps, and LangChain
DataOps, VectorOps, and LangChain integration creates powerful applications that combine efficient data management, high-dimensional data processing.
[31. AI-Powered Tools That Doubled My Development
Speed](https://hackernoon.com/ai-powered-tools-that-doubled-my-development-speed)
A few AI-powered tools that improved my productivity in software engineering.
32. Money Talks: How Bloomberg GPT Is Changing the Game
On March 30th, Bloomberg unveiled a new artificial intelligence model named BloombergGPT. This new AI model is set to change the finance industry.
33. AI Writing Revolution – A Blessing or Curse?
AI tools have revolutionized the writing industry, but there is a twist to it.
34. AI as the "Bad Student" in Class
Join an ongoing quest to uncover the true nature of AI's "intelligence".
35. AutoGPTs Could Potentially Transform Businesses Forever: What You Need to Know
Nathan Lands explains what AutoGPTs are and why they could potentially transform businesses.
36. On AI, ChatGPT, and Content Creation with HackerNoon's VP of Editorial Limarc Ambalina
When it comes to AI-generated or edited content, transparency is key.
37. Developer Advocate at OpenAI Explains How to Best Use GPT and ChatGPT
Logan Kilpatrick is working at OpenAI in developer relations. He shares his insights on large language models, ChatGPT, and the developer landscape with OpenAI.
38. AI Is the Ultimate Philosopher: Here's Why
We may well be just very complex machines following our genetic software. On which grounds do we deny a soul to AIs, then?
39. My New Junior Developer Kinda Sucks
ChatGPT is all the rage these days. Is it really that good for developers though?
40. How we Built an Open-Source RAG-based ChatGPT Web App
Our new AI Tutor is here to usher in a new era of learning efficiency and precision with up-to-date information!
41. I Pivoted my Startup Into an AI Company and You Should Do the Same — Here's How
The goal of this article is to share my new perception of GPT's role in SaaS.
42. This is How You Unlock the Potential of ChatGPT for SEO and Content Writing
ChatGPT’s ability to quickly analyze and process large amounts of data can help you conduct keyword research effortlessly and quickly.
43. GPT4All: Limitations and References
By enabling access to large language models, the GPT4All project also inherits many of the ethical concerns associated with generative models.
44. Fixing ChatGPT's Limitations for Coding
Quickfix AI is an extension for VS Code that provides you instant solutions for errors in your code within your code editor using AI.
45. This Is Why GPT Models Sound Like Humans
If you want to find out how the GPT models suddenly became so similar to human beings in their functionality - read this post.
46. How to Make Money Using ChatGPT: Inspired by Gangnam Style
When you look closely, Psy lays out the exact blueprint on how to make money with ChatGPT.
47. Zain Kahn: Here's How to Boost Your Productivity Using ChatGPT
10 advanced ChatGPT prompts to boost your productivity
48. 10 ChatGPT Prompts to Accelerate Your Learning
The AI Reality gives 10 ChatGPT Prompts to accelerate your learning.
49. Building Embodied Conversational AI: How We Taught a Robot to Understand, Navigate, and Interact
This is exactly what I tackled in the Alexa Prize SimBot Challenge where we built an embodied conversational agent that could understand instructions
50. The Future of Virtual Identities in an AI-powered Metaverse
How generative AI is redefining virtual character creation, behavior, and interaction in the emerging metaverse.
51. Using ChatGPT to Correct ChatGPT
23rd episode of the What's AI podcast with data science expert Ken Jee sharing amazing ChatGPT tips that will blow your mind!
52. Are You Enhanced? A Story About AI and Life in the Near Future
Tom’s heart sank. He had known this question was coming. He took a deep breath and answered truthfully, “No, I’m not enhanced.”
53. We Made a Twist and Learned a Lot: Navigating a Startup
Learn from our twist-filled journey and gain valuable insights. Find inspiration and guidance for your own pivotal path
54. GPT4All-Snoozy: The Emergence of the GPT4All Ecosystem
55. GPT4All: Model Training, Model Access, and Model Evaluation
We publicly released all data, training code, and model weights for the community to build upon.
56. Power Virtual Agents: Streamlining User Queries with GPT-Sourced External Content
With Power Virtual Agents, a situation can occur where users ask questions that your bot does not have an answer for. What then?
57. Exploring LLMs and AI Education with Luis Serrano
Luis shares his personal experience and thoughts on whether a Ph.D. is necessary for working in AI.
58. Integrating OpenAI GPT API With Functions: Here's What You Need to Know
This significant integration gives PubNub's developers access to the power of OpenAI GPT, which they can use to create new and innovative applications.
59. Data Scraping: Do Large Language Models Cross Boundaries by Training on Content from Everyone
While scraping enabled models to get where they are, cleanly sourced data is going to become more and important
60. Ethereum Vs. Bitcoin: Whose Side Are The Machines On?
61. Solving ARC-AGI Challenge with AI Agents
WLTech.AI explores the ARC challenge, an important benchmark in AI research, advancing the quest for artificial general intelligence through generalization.
62. Original GPT4All Model: How We Collected Data and Then Curated It
To train the original GPT4All model, we collected roughly one million prompt-response pairs using the GPT-3.5-Turbo OpenAI API
63. The Lowdown on GPT-5 and What It Will Bring
GPT-5 is designed to understand context on a whole new level.
64. Experimenting With GPT, WordPress, and Convoworks to Filter Spam
Discover how to use Convoworks, a no-code tool, to build a GPT based spam filter for your WordPress website.
65. What Is Open AI Foundry and How Does It Change Generative AI?
OpenAI Foundry may just be a rumor, but it took the tech news space by storm. Learn what we can expect, when, and who will benefit from Foundry first.
66. Analyst Gets Far With Custom GPT, But Then Quickly Surrenders
A data analyst created a custom GPT model to simplify querying financial data. However, his rigid mindset limited the project's potential.
67. GPT4All-J: Repository Growth and the Implications of the LLaMA License
The GPT4All repository grew rapidly after its release, gaining over 20000 GitHub stars in just one week
68. The Future of GPT4All
In the future, we will continue to grow GPT4All, supporting it as the de facto solution for LLM accessibility.
69. Building GPT-2 from Scratch in Rust - A Software Engineer’s Deep Dive into Transformers and Tensors
Learn how a software engineer built a working GPT-2 clone from scratch in Rust on Ubuntu. This deep dive covers embeddings, attention, residuals, training, and
70. Neural Networks, LLMs, & GPTs Explained: AI for Web Devs
Good things to understand when building AI applications: artificial neural networks, LLMs, parameters, embeddings, GPTs, and hallucinations.
71. The Legal Copyright Battle Against AI: An Introduction to the EU’s Requirements
In this post, I will provide some relevant background information on the EU’s upcoming AI Act and the debate about transparency requirements.
72. Using Courier and GPT2 to Generate a Motivational Quote of the Day
Learn to use a machine learning model and the Hugging Face model to generate a quote on demand with Courier and GPT2
73. “Perfection is the enemy of good.” - Voltaire x GPT-J
GPT-J takes on Voltaire and proceeds to
74. Breaking Down the Hype of AI
But others say the hype is overblown. Meta’s chief AI scientist, Yann LeCun, told reporters ChatGPT was “nothing revolutionary.”
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