Anthropic is extending its AI chatbot Claude with a feature that can be used to create custom solutions such as email assistants or shopping bots. By connecting to any programming interfaces (APIs) and with a little programming knowledge, it is apparently possible to develop versatile AI assistants that can, for example, provide personalized product recommendations, …
IT service provider Kyndryl and Nvidia are working together to make it easier for businesses to use generative AI. The partnership combines Nvidia’s hardware and software with Kyndryl’s expertise in implementing and scaling AI projects.
SAP is integrating Amazon’s Bedrock AI development platform into its AI Core platform to facilitate the use of generative AI for enterprises, especially in regulated industries. Bedrock gives SAP customers access to a variety of large language models.
The UK’s AI Safety Institute releases Inspect, an open source toolset designed to simplify the safety assessment of AI models. Inspect can be used to test the capabilities of AI models, such as core knowledge and reasoning.
Amazon aims to simplify generative AI development with Bedrock Studio: The new tool is designed to help businesses experiment, share, and build AI-powered applications.
As expected, Google used the keynote at its I/O developer conference to demonstrate its strength in AI. Among other things, the company presented new AI models for a wide range of tasks. Some will run directly on Android devices or can be found in the Chrome browser. Others use Google’s specialized servers. They create text, …
Google DeepMind develops “Gecko”, a new standard to evaluate the capabilities of AI image generators. It is designed to help better understand the strengths and weaknesses of AI models and drive their development.
Researchers at Meta and the University of Southern California have developed Megalodon, a new architecture for AI models. It allows language models to process significantly larger amounts of text without using a lot of memory.
Cohere releases a toolkit to accelerate the development of generative AI applications in the enterprise. With pre-built applications and easy-to-implement components, the toolkit aims to reduce development time.
VideoGigaGAN outperforms previous methods of video upscaling, creating videos with a high level of detail and consistency. The approach is based on the GigaGAN image upscaler and solves its video processing problems through special techniques that result in sharper and smoother videos. Source: Hacker News