Community Picks·3yAnnouncing Grok
Grok is an AI modeled after the Hitchhiker’s Guide to the Galaxy that aims to answer questions and suggest what questions to ask. It is still in the early beta stage but shows promising results in benchmark tests. xAI is working on various research directions to improve reasoning, safety, retrieval, and multimodal capabilities in AI systems. Limited early access to Grok is available for users in the United States.
Community Picks·3y🧠An AI / neural network...in vanilla JS! 😱 With no libraries! 🤯
Learn how to build a neural network in vanilla JavaScript without any libraries. The article covers the basics of neural networks, including the concept of neurons, back propagation, and the use of bias and weightings. It provides step-by-step code examples and demos of simple and more complex neural networks.
Towards AI·3yGPT4Readability — Never Write a README Again
GPT4Readability is a powerful tool designed to automatically generate a README.md file. It can also suggest code improvements for your Python code repositories. The entire development of this tool costs just $1.50, which seems quite cheap compared to the $20/month ChatGPT plus users pay.
Python in Plain English·3yBest Tools for Python Developers in 2023
Best Tools for Python Developers in 2023: Helios, PyCharm, Django, Poetry and more. Helios is a developer platform that provides actionable insight into your Python application flow. Python has become one of the most popular programming languages over the past few years.
OpenAI·3yGPT-4
OpenAI has released GPT-4, a large multimodal model that exhibits human-level performance on professional and academic benchmarks. It has improved factuality, steerability, and adherence to safety standards. The model has been tested on various benchmarks and outperforms previous models in language tasks. It also shows promise in handling visual inputs. However, it still has limitations and biases in its outputs. OpenAI is working on safety measures and collaborating with external researchers to assess potential impacts. GPT-4 is available for ChatGPT Plus subscribers and the API has a waitlist for access.
AI in Plain English·3yMachine Learning: Must Do Projects for Beginners
Machine Learning: Must Do Projects for Beginners. We will examine some of the most well-liked machine learning datasets and models in this article. In the next sections, we will discuss several datasets and the models that may be used in that exercises.
Machine Learning News·3yBest Free Prompt Engineering Resources (2023)
PromptPerfect is made to automatically improve prompts for large language models (LLMs), large models (LMs), and LMOps. It can optimize prompts for the ChatGPT, GPT-3.5, DALLE, and StableDiffusion models. Using PromptPerfect’s multi-goal optimization, users may tailor prompt optimization to suit their unique requirements.
freeCodeCamp·3yIntro to Generative AI – 10 Free Courses by Google
Google has released a free set of training courses for generative AI. There are 10 courses aimed at beginners with no prerequisite knowledge. All of them deliver content through a combination of videos, articles, labs and quizzes. Some courses also have online labs to complete in a certain amount of time.
KDnuggets·3yChatGPT: Everything You Need to Know
ChatGPT is an AI-based chatbot system which OpenAI launched in November 2022. ChatGPT uses the company's GPT-3 technology, which uses deep learning to produce human-like text. The model is optimized using Reinforcement Learning with Human Feedback (RLHF) to achieve conversational dialogue.
KDnuggets·3yLearn Machine Learning From These GitHub Repositories
Learn Machine Learning From These GitHub Repositories Kickstart your machine learning career with these curated GitHub repositories. The best of ML with Python repository has 910 open-source projects that are grouped into 34 categories. TensorFlow is one of the most popular machine learning frameworks out there and is vital to your skillset.
Machine Learning News·3yTop Artificial Intelligence (AI) Books to Read in 2023
The ability of a machine to reason, learn, and solve problems in the same ways that people do constitutes artificial intelligence. We’re learning more and more about how computers can mimic human thought processes and even complete jobs that were once thought too complex for machines to complete.
GoPenAI·3yUnleashing the Power of Auto-GPT: A New Age of AI-Driven Automation
Auto-GPT: A New Age of AI-Driven Automation is revolutionizing task automation and what it means for the future of AI? Karthik Subbiah Ravishankar: The pace at which artificial intelligence is advancing can be challenging for even the most knowledgeable minds to keep up with.
Medium·3yBuild your own face recognition system with python in minutes
Build your own face recognition system with python in minutes. The concept is known as one shot learning. It is different from traditional image recognition models in a sense, that you are only required to have one picture of a person whom you want to recognize, and you don't need to ‘train the model’ to recognize.
Towards AI·3yA Cheat Sheet to Deep Learning Algorithms: Types, Applications, and Examples
Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks. There are three main types of deep learning algorithms: supervised, unsupervised, and semi-supervised. The right algorithm for a specific problem will depend on the characteristics of the data and the complexity of the task.
Hugging Face·3yIntroduction to Graph Machine Learning
In this blog post, we cover the basics of graph machine learning. We first study what graphs are, why they are used, and how best to represent them. We then cover briefly how people learn on graphs, from pre-neural methods (exploring graph features at the same time) to what are commonly called Graph Neural Networks.
Medium·3yBest of Level Up Coding (September 2023)
This month we explore the unconventional path of a successful programmer, indicators of suitability for a programming career, to the art of crafting a compelling business plan with AI. We shed light on the power of AI chatbots, the potential industries at risk due to AI, and essential tools for your coding journey.
KDnuggets·3yFree Generative AI Courses by Google
Free Generative AI Courses by Google are being provided by Google. The free courses provide a simple definition of GenerativeAI. It can generate text, images, or other forms of media based on user prompts. It can produce new content, replace repetitive tasks, work on customized data and more.
freeCodeCamp·3yThe Difference Between AI and Machine Learning
Artificial Intelligence is a field which contains a lot of sub-fields, including Machine Learning. Machine Learning is not the same thing as Artificial Intelligence, but rather a part of it – like a cog amongst many cogs that makes up the machine which is Artificial Intelligence. I'll explain how Machine Learning fits into AI as a field.
freeCodeCamp·3yHow to Communicate with ChatGPT – A Guide to Prompt Engineering
A Guide to Prompt Engineering AI has become an integral part of our lives and businesses. By fully understanding how to communicate with AI, it can take us a step closer to unlocking its full potential. To get these advantages, understanding prompt engineering is essential. By the end of this guide, you should be able to write good prompts and tailor them.
KDnuggets·3yTen Years of AI in Review
The last decade has been a thrilling and eventful ride for the field of artificial intelligence (AI). Modest explorations of the potential of deep learning turned into an explosive proliferation of a field that now includes everything from recommender systems in e-commerce to object detection for autonomous vehicles and generative models.
KDnuggets·3yTop 15 YouTube Channels to Level Up Your Machine Learning Skills
Top 15 YouTube Channels to Level Up Your Machine Learning Skills Skills - KDnuggets. Top 15 channels to learn machine learning in 2023: 1.1.2M, Videos:1,234, Views: 107M, Sentdex Harrison Kinsley creates a wide range of programming tutorials about machine learning, Python, Finance, Data Analysis and Robotics.
NVIDIA·2y2024 AI Predictions
Enterprises are expected to harness the power of generative AI in 2024 to revolutionize productivity, innovation, and creativity. Customized generative AI applications using proprietary data will become more common in businesses. Open-source pretrained models will be combined with private or real-time data to accelerate productivity and cost benefits. Off-the-shelf AI models will be customized using AI microservices. Collaboration among AI organizations will lead to the development of standardized AI safety protocols. The automotive industry will utilize generative AI for design, shopping experiences, and AV development. Networking efficiency and performance will be emphasized in order to support accelerated computing with GPUs. The financial services industry will adopt an AI-first approach. Physics-ML will be used in energy companies to accelerate simulations and enhance decision-making. LLMs and generative AI will play a significant role in robotics programming and simulation development.