@Shaughnessy119: Stephen Wolfram of Wolfram Alpha wrote the absolute best post on ChatGPT and Large Language Models. It took me about two hours to read, but significantly increased my understanding of what's going o...…
Meet MetaGPT: A GPT-4-powered Application That Can Create Websites, Apps, And More Based Only On Natural Language Prompts
As the large language models took the Artificial intelligence domain by storm, all the science fiction movies a whole generation grew up watching, people speculating about an era ruled by robots, all the heated debates about the ethics perspective. All of these points are pushed further into reality as the capability of ChatGPT and now GPT4 stunned the whole world. While users were still playing around with the chatGPT3, exploring the tip of the iceberg, OpenAI revealed GPT4 LLM, which can not only “read” the texts you input but can also “See” and “Understand” the images you give it to.
Inflection AI, Startup From Ex-DeepMind Leaders, Launches Pi — A Chattier Chatbot
Mustafa Suleyman, CEO of the year-old startup that’s already raised $225 million and claims to run one of the world’s largest language models, sees his dialog-based chatbot as a key step toward a true AI-based personal assistant.
Poe's AI chatbot app now lets you make your own bots using prompts
An app called Poe will now let users make their own chatbot using prompts combined with an existing bot, like ChatGPT, as the base. First launched publicly in February, Poe is the latest product from the Q&A site Quora, which has long provided web searchers with answers to the most Googled questions. With chatbots now […]
Meet BloombergGPT: A Large Language Model With 50 Billion Parameters That Has Been Trained on a Variety of Financial Data
The 2020 release of GPT-3 served as a compelling example of the advantages of training extremely large auto-regressive language models. The GPT-3 model has 175 billion parameters—a 100-fold increase over the GPT-2 model—performed exceptionally well on various current LLM tasks, including reading comprehension, answering open-ended questions, and code development. Many additional models have reproduced this performance. Moreover, data shows that huge models display emergent behaviours because their size permits them to gain skills unavailable to smaller models. A famous example of emergent behaviour is the capacity to accomplish tasks with few-shot prompting, where a model can learn a task from
Large language models are having their Stable Diffusion moment right now
The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the …
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.
Open source solution replicates ChatGPT training process! Ready to go with only 1.6GB GPU memory and gives you 7.73 times faster training!
Colossal-AI, as one of the hottest open-source solutions for large AI models, presents an open-source low-cost ChatGPT equivalent implementation process first.
Article: OpenAI's ChatGPT can write songs, pass MBA exams, plan trips, and more — here's how to use it
Go to chat.openai.com in your internet browser. The site will ask you to sign up with a new account or log in if you already have one.During peak usage times, you may not be able to access ChatGPT but you can try again another time (often later in the day) until you get in. The at-capacity notice alw
Rise of the bots: ‘Scary’ AI ChatGPT could eliminate Google within 2 years
A tech company has developed a state-of-the-art AI chatbot so sophisticated that it could render search engines — not to mention countless jobs — obsolete.
Artificial Intelligence (AI) Researchers At UC Berkeley Propose A Method To Edit images From Human Instructions
Machine Learning (ML), or more precisely, Deep Learning (DL), has revolutionized the field of Artificial Intelligence (AI) and made tremendous breakthroughs in numerous areas, including computers. DL is a branch of ML that uses deep neural networks, i.e., neural networks composed of multiple hidden layers, to accomplish tasks that were previously impossible. It has opened up a whole new world of possibilities, allowing machines to 'learn' and make decisions in ways not seen before. Regarding computer vision, DL is nowadays the most powerful tool for image generation and editing. As a matter of fact, DL models are nowadays capable of
Don’t dismiss GPT-3/Stable Diffusion use cases if they don’t work right away
Over the past two years, I’ve seen the following happen at least a hundred times: A person has an idea how to use one of the foundation models. Say, Stable Diffusion to generate 2D avatars for a mobile game. They open one of the tools, try creating an image