AI

The Chinese startup DeepSeek has released a new AI reasoning model that appears to rival the abilities of a frontier model from OpenAI, the maker of ChatGPT.

Multiple ways to try Flux

AI Text-To-Image Generator Market to Record an Exponential CAGR by 2031 - Exclusive Report by InsightAce Analytic

It's an AI image generator with pedigree.

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Access studio-level production without the studio-level budget. Create high-quality videos with your own AI-generated actors and voice over in minutes.

Here’s who made the 2023 TIME100 AI list of the most influential people in artificial intelligence.

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Stability AI, makers of the image generation AI Stable Diffusion, recently launched Stable Chat, a web-based chat interface for their open-access language model Stable Beluga. At the time of its release, Stable Beluga was the best-performing open large language model (LLM) on the HuggingFace leaderboard.

ChatGPT could revolutionize financial planning, but it won't replace human guidance.

Here's why you should bake AI into your day-to-day SEO processes and tips on how to do it from SEO expert Aleyda Solis.

If you are interested in learning more about the available large language models this ChatGPT vs Bard vs Claude comparison guide offers

Check out 10 ways Bard can help you get things done, from brainstorming ideas to planning trip itineraries.

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. The tool connects Jupyter with large language models (LLMs) from various providers, including AI21, Anthropic, AWS, Cohere, and OpenAI, supported by LangChain. Designed with responsible AI and data privacy in mind, Jupyter AI empowers users to choose their preferred LLM, embedding model, and vector database to suit their specific needs. The software's underlying prompts, chains, and components are open source, ensuring data transparency. Moreover,

Manuel Araoz's personal website.

Stable Diffusion web UI. Contribute to AUTOMATIC1111/stable-diffusion-webui

It's especially effective against Shutterstock watermarks.

Cathie Wood of ARK Invest says AI will trigger an "astounding and shocking" surge in productivity.

Let us control diffusion models! Contribute to lllyasviel/ControlNet development by creating an account on GitHub.

A new selection of the hottest up & comers building in generative AI. Early-stage companies showing leading indicators of future greatness.

“I have suddenly switched my views on whether these things are going to be more intelligent than us.”

Run open-source machine learning models with a cloud API

Let me show you how to use GPT-4 for free. Here’s everything you need to know about accessing Chat GPT 4 without paying any subscription fees.

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.

What will GPT unlock for the nerdy kid sitting in a 7th-grade classroom today?

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.

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 […]

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