Let's learn about Gpt 4 via these 63 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.
GPT-4 (Generative Pre-trained Transformer 4) is a highly advanced large language model developed by OpenAI. It matters due to its unprecedented capabilities in understanding, generating, and processing human language, revolutionizing applications in content creation, coding, and conversational AI.
1. How to Use ChatGPT for Python Programming
ChatGPT is a large language model developed by OpneAI. Here are some ways you can use ChatGPT for Python programming.
2. Why Can't AI Count the Number of "R"s in the Word "Strawberry"?
Explore why AI struggles to count letters in words like 'strawberry,' delving into tokenization, language model limitations, and potential improvements.
3. GPT-4 Has Been Unleashed on the World - Here's What It's Doing So Far
Alex documents how people are using GPT-4.
4. Introducing AutoGPT – The Newest AI Agent Under the Spotlight
AutoGPT is the latest AI agent generated by GPT-4, offering efficient capabilities for custom marketing, lead generation, and prompt creation.
5. The Next Era of AI: Inside the Breakthrough GPT-4 Model
GPT-4 represents a leap forward in large language model capabilities. It builds on the architecture and strengths of GPT-3 while achieving new levels of scale.
6. How OpenAI's GPT-4 LLM Promises to Reshape Content Moderation
GPT-4: Reshaping content moderation for safer online spaces. AI-human collaboration pioneers a balanced approach.
7. Fine-Tuning GPT-3.5: A Practical Python Example
Hands-on example to achieve shorter prompts, better performance and save money on your API calls. All using synthetic data from GPT-4.
8. Turn GPT-4 Into Your Expert: Fine-Tuning Large Language Models Easily
Boost AI Performance with Fine-Tuning
9. HustleGPT: One Man's Quest to Let GPT-4 Run His Business
In an interview with Jackson Greathouse Fall, we learn more about the man behind the viral experiment, the story of how it started, and AI's impact on humanity.
10. GPT Automated.. Again
A DIY approach you can use or extend to automate GPT for recursive project delivery.
11. How GPT Pilot Codes 95% of Your App
GPT Pilot is a dev tool that writes 95% of coding tasks.
12. No Coding Required: 5 Mind-Blowing Uses of GPT-4
What can actually be done using GPT-4?
13. How GPT Pilot Codes 95% of Your App [Part 2]
GPT Pilot is a dev tool that increases developer’s productivity 20x by offloading 95% coding tasks from developer to LLM.
14. Unlocking Endless Possibilities with GPT-4: My Journey from Study Plans to a Multitude of Apps
Explore the limitless potential of OpenAI's GPT-4 with Kartik Khosa, as he transforms personalized study plans into diverse AI applications.
15. 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.
16. How GPT-4 Built a New Multimodal Model
LLaVA: Bridging the Gap Between Visual and Language AI with GPT-4
17. 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.
18. GPT-4 Explained: ChatGPT's Big Brother is Here to Disrupt Everything
If you thought ChatGPT was good, just wait until you try GPT-4.
19. 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,
20. GPT-4: What is Truly at the Core of This Virtual God?
We worship ChatGPT like a virtual god, but what is truly at the core of this artificial intelligence technology?
21. I Interviewed Socrates_GPT: Here's How It Went
In a simulated chat interview with Socrates_GPT, a modern-day adaptation of Socrates' persona, we discussed a range of topics
22. Creating a Product Description Generator Using PrestaShop & ChatGPT
After the release of Chat GPT-4 by OpenAI, we tested its ability to generate descriptions for obscure products for online stores.
23. 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.
24. Elon Musk Predicts AI Will Surpass Doctors and Lawyers: Are Humans the New Backup for Intelligence?
Elon Musk predicts AI will surpass doctors & lawyers, with humans serving as a “biological backstop for intelligence.” Discover how AI is redefining our future.
25. AutoGPTs Could Potentially Transform Businesses Forever: What You Need to Know
Nathan Lands explains what AutoGPTs are and why they could potentially transform businesses.
26. Scratching the Singularity Surface: The Past, Present and Mysterious Future of LLMs
A brief overview of Natural Language Understanding industry and out current point of LLMs achieving human level reasoning abilities and becoming an AGI
27. The Transformer Neural Network (TNN) is Much, Much Bigger Than Even AGI
We've just realized how LLMs work internally - a legible, scientific hypothesis. But that has huge implications for the AI industry and indeed for the world!
28. How to Kickstart an Automated Test Suite When There Are 0 Tests Written
Pythagora is an open source tool that uses GPT-4 to generate unit tests. With a single command, you can get from 0 to 90% code coverage.
29. Different Roles for Different Models: LLMs and Reinforcement Learning
The rise of large language models like ChatGPT, with their ability to generate highly fluent and accurate text, has been remarkable. But they are flawed.
30. The One-Shot Generalization Paradox: Why Generative AI Struggles With New Information
Learn why GenAI models fail with new information, the 'One-Shot Generalization Paradox,' and what future AI research holds for overcoming this challenge.
31. AI & Blockchain Won't Compete Against One Another But Work Together To Build A New Economic System
It is hard to estimate the direct economic impact on our society that AGI will have. Instead of fighting against AGI, we should embrace it. It is happening now!
32. The SEO Game Changer: Unpacking the Impact of GPT-4
GPT-4 has irrefutably left an indelible mark on SEO. It has raised the bar, emphasizing the need for high-quality, relevant content.
33. The Path to Conscious Machines: GPT Models and the Quest for AGI
Picture this: a world where AI is not just a “chatbot”, but an entity that is responsible for decision-making, scientific research, and even advancing humanity
34. Getting Started With ChatGPT on MacOS: A Quick Guide to Installation
ChatGPT has officially launched its much-anticipated Mac app, bringing the power of advanced AI to the fingertips of macOS users.
35. Transforming the Reading Experience with BookNote.AI by WebLab Technology
BookNote.AT - exploring the content of any book through an AI assistant.
36. 5 Practical Use Cases for GPT-4 Vision AI Model
The GPT-4 Vision AI model has made significant strides in transforming how we approach daily tasks and hobbies.
37. 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.
38. No, AI Won't Replace You
With the AI War in full swing, you can be forgiven for thinking this is the end of a stable pay check. But that's not the case and here is why...
39. A Deep Dive on OpenAI's Foundry
Nathan Labenz goes over OpenAI's Foundry.
40. 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.
41. Small Language Models Beat GPT-4 for Our Use Case: 94% Cost Reduction
Small language models outperformed GPT-4 for our use case. Learn how we achieved 94% cost reduction, faster response times, and higher customer satisfaction wit
42. Comparing VERSES AI to OpenAI: A Talk With ChatGPT4
In a mere 3 question conversation with ChatGPT4, the bot provided a solid basis to understand issues facing LLMs, & advantages of Active Inference AI over LLMs
43. With AI, Coders Have More Time for Creative Coding: Malik Drabla, Co-Founder Adrenaline
In this interview, we speak with Malik Drabla, the co-founder of Adrenaline - an AI project to help coders make the best of their code.
44. OpenAI's Head of Product Leaves the Company
OpenAi's Head of Product announces that they're parting ways with the company.
45. Automatic Brand Sentiment Analysis with Generative AI
Learn how to monitor your brand on social media like Reddit, Twitter, Linkedin, Hacker News... and automatically analyze the sentiment thanks to generative AI.
46. GPT4All: An Ecosystem of Open-Source Compressed Language Models
In this paper, we tell the story of GPT4All, a popular open source repository that aims to democratize access to LLMs.
47. How Problematic Is ChatGPT's Censorship?
Kevin Fischer explains ChatGPT's censorship and how it's problematic.
48. I Built 7 AI Agents That Run Marketing Operations. Here's the Entire Architecture.
I built 7 AI agents that run marketing operations for ecommerce brands. Here's the full architecture, what worked, what broke, and what I'd do differently.
49. A Quick OpenAI Model Deprecation Guide
On Jan 4, OpenAI will retire 33 models, including GPT-3 (text-davinci-003) and various others. This is OpenAI's biggest model deprecation so far.
50. 3 Approaches To Digitizing Newspapers & Magazines
Newspaper article detection is one of the most difficult digitization tasks. From GPT-4 to segmentation models, explore how AI helps detect newspaper articles.
51. Why Most AI Startups Are Just Fancy CRUD Apps With a GPT Wrapper
A blunt take on why most AI startups are just simple apps wrapped around GPT—slick on the surface, hollow underneath.
52. It's Time for Lawmakers to Regulate the Development and Use of AI
BigTech companies are racing against each other to win the AI war, and lawmakers are falling several laps behind.
53. 90% of Developers Were Outperformed by GPT-4
Discover how ChatGPT-4 surpasses 90% of developers in solving coding challenges. Explore the future and potential of AI in software development.
54. The Potential of Large Language Models (LLMs) in Diabetes Management
LLMs hold immense potential for improving patient care, enhancing communication, and providing personalised support.
55. The Noonification: The Web3 Writing Contest by Coinsbee and HackerNoon (3/28/2023)
3/28/2023: Top 5 stories on the Hackernoon homepage!
56. ChatGPT-4o Launched: Essential Updates and Free Access
GPT-4o is a new model from OpenAI that can understand and generate text, audio, and images quickly and accurately and is cheaper and faster than older models.
57. How to Run MPT-7B on AWS SageMaker: MosaicML's ChatGPT Competitor
In this blog post, I’m going to take you step-by-step through the process of running MosaicML’s ChatGPT competitor, MPT-7B, on your own AWS SageMaker instance.
58. How to Build an AI That Roasts Your Spending Habits (3 hours Weekend Project)
Users upload their bank statement, get roasted by GPT-4 with savage, witty humor.
59. Exploring the Advancements in Few-Shot Learning with Noisy Channel Language Model Prompting
Noisy channel language model prompting takes inspiration from classic noisy channel models in machine translation to improve few-shot text classification.
60. Is ChatGPT Going to Overtake Our Jobs?
You must have heard people say that ChatGPT is going to replace us. But is it true? Let's find out.
61. Why Multimodal AI is the Future of LLMs
Text-only and image-only AI models are a thing of the past. Here's why multimodal AI is the future.
62. GPT Prompting Performance: Explanatory Feedback for Tutor Praise
We evaluate GPT-3.5 and GPT-4's performance in identifying praise components via prompting, revealing M-IoU scores and human satisfaction levels
63. The Noonification: The Next Era of AI: Inside the Breakthrough GPT-4 Model (10/6/2023)
10/6/2023: Top 5 stories on the Hackernoon homepage!
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