Anthropic is introducing “Workspaces”, a new feature for managing AI systems in enterprises. The startup enables the creation and control of multiple isolated environments for Claude AI implementations, Michael Nuñez reports on VentureBeat. Companies can now set spending and usage limits, group API keys, and control access through user roles. The feature addresses key challenges …
Arcee AI has introduced SuperNova, a customizable language model with 70 billion parameters for enterprises. It can be used in a company’s own infrastructure and be customized, as James Thomason reports at VentureBeat. SuperNova is based on Meta’s Llama 3.1-70B Instruct architecture and uses a novel retraining process. It aims to provide an alternative to …
ServiceNow is introducing a library of customizable AI agents for businesses. The company is planning updates to its Now Assist AI platform that will allow customers to integrate AI agents into their workflows. As Emilia David reports for VentureBeat, companies can use the new Now Assist Skill Kit to develop their own prompts and skills …
DigitalEx, a provider of cloud cost management software, has launched a new solution for controlling the costs of generative AI. The tool provides organizations with a centralized view of AI-related costs across multiple platforms, including AWS Bedrock, Azure OpenAI, and OpenAI. As CEO Sundeep Goel told VentureBeat, the solution enables detailed cost allocation, financial management, …
Hugging Face has introduced LightEval, a new open source solution for evaluating large language models (LLMs). This was reported by Michael Nuñez on VentureBeat. The lightweight suite allows companies and researchers to evaluate AI models in a precise and customizable way. LightEval integrates seamlessly with existing Hugging Face tools and supports multiple devices including CPUs, …
A new AI startup called Maitai has developed a platform to optimize the use of Large Language Models (LLMs) in practice. As founders Christian and Ian tell Hacker News, Maitai acts as a proxy to analyze the traffic between the application and the LLM. The system automatically detects errors, corrects them in real time, and …
This article examines the rapid evolution of generative AI technology. The author describes how the once-clear landscape of more than 200 companies in various categories has exploded, creating challenges for IT decision makers. The complexity of the technology requires a flexible vision that can adapt to constant change. Organizations are looking for end-to-end solutions that …
The increasing demand for computing power and storage for AI applications is challenging the industry. While the power of AI models continues to grow, the infrastructure required to support them is reaching its limits. This article examines the problem of scaling AI applications and possible solutions. In addition to optimizing cloud infrastructures, the integration of …
Artificial intelligence is revolutionizing search, writes VentureBeat. Generative AI makes it possible to ask questions in natural language and get a direct answer without having to click through countless websites. Companies are using this development to implement “Retrieval Augmented Generation” (RAG), a technology that combines AI models with an organization’s own data to provide more …
The article, “From AGI to ROI: The 6 AI debates shaping enterprise strategy in 2024” by Matt Marshall sheds light on the current evolution of AI in the enterprise environment. As the initial euphoria over the capabilities of AI models such as ChatGPT fades, the focus shifts to practical applications and return on investment (ROI). …