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Get out from under GPT-3.5 and start using GPT-4, which is generally available starting today.
Worldwide desktop and mobile web traffic to the ChatGPT website dropped 9.7% from May to June, according to preliminary estimates. In the U.S., the month-over-month decline was 10.3%. Worldwide unique visitors to ChatGPT’s website dropped 5.7%. The amount of time visitors spent on the website was also down 8.5%. ChatGPT still attracts more worldwide visitors than Bing, Microsoft’s search engine.
LlamaIndex has launched version 0.7.0 with the aim of improving the library's modularity and customizability. The new version includes standalone LLM abstractions for OpenAI, HuggingFace, and PaLM, allows users to use the response synthesis module independently, and offers enhanced metadata management for Document/Node objects. The update was designed to enhance LLM application development and offer developers more control over their workflows.
This repo introduces DragonDiffusion, a novel method that enhances the editing precision of text-to-image models. Utilizing feature correspondence within diffusion models, DragonDiffusion allows various detailed image alterations, such as moving and resizing objects, replacing appearances, and dragging content, all while maintaining the image's original consistency and without the need for additional model fine-tuning.
There has been buzz the past few days around a number of works suggesting that models generating training data is a new unlock for performance. On the other hand, the community has pushed back, saying that the data processing inequality suggests this is impossible. What if the truth is somewhere in between and generating training data acts as a sort of filter for sampling from the distribution you actually care about?
This technical report details the creation of FLACUNA, a language model that improves problem-solving capabilities by fine-tuning VICUNA, another large language model, using a custom instruction dataset called FLANMINI.
This paper presents HIPIE, a novel approach to image segmentation that accounts for complex scenes by incorporating different semantic levels into its learning process. It outperforms existing models across a range of image comprehension tasks, offering a unified solution for segmentation tasks in diverse contexts.
InternLM has open-sourced a 7 billion parameter base chat model tailored for practical scenarios.
This article argues that the framing of the debate between AI safety and alignment as a "schism" is ahistorical and misleading. The author argues that there has never been a unified AI safety community and that the two camps have different goals and values.
Adobe has restricted employees' use of external AI tools, urging them to use in-house offerings instead, according to an internal email from CIO Cindy Stoddard. This move mirrors similar policies at Amazon, Alphabet, Apple, and Samsung, indicating a broader trend in data protection and promotion of proprietary tech.
This article discusses the importance of taking a human-centric approach when implementing artificial intelligence (AI) systems. It emphasizes the need for ethical considerations, transparency, and collaboration between humans and AI to ensure that AI technologies are adopted responsibly and effectively.
CNET explores the potential of full-body AI scans in revolutionizing preventive medicine. It highlights how AI-powered imaging technologies can detect early signs of diseases and provide personalized health insights, leading to more proactive and targeted healthcare interventions.