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
Anthropic has made its most advanced language model, Claude 3 Opus, available on Amazon Bedrock. Developers can now use Opus to build generative AI applications. It is initially available only in the US West region (Oregon).
Microsoft has introduced new Azure tools to help developers improve the security and reliability of AI tools. These include “Prompt Shields” to protect against prompt injection attacks, pre-built templates for security-oriented system messages, “Groundedness Detection” to detect hallucinations in text output, and real-time monitoring to supervise input and output in production environments.
Databricks introduces DBRX, a new open source AI model designed to provide enterprises with a cost-effective and efficient alternative to GPT-3.5. Because companies deploy and manage it themselves, the security and confidentiality of data is better protected than with an external offering such as ChatGPT. Source: VentureBeat
OpenAI is expanding its program for building custom AI models for enterprises to address specific use cases. With techniques such as assisted fine-tuning and custom-trained models, companies of all sizes should be able to develop personalized models. Source: TechCrunch
OctoAI introduces OctoStack, a platform that allows companies to customize generative AI models and deploy them in their own environments. Source: VentureBeat