The company said it would use the new funding to expand its engineering, product and marketing efforts to meet the growing demand for AI development tools. The team also plans to develop the Experiments tool to provide greater access to generative AI testing to a greater variety of team makeup...
NVIDIA AIis the world’s most advanced platform for generative AI, trusted by organizations at the forefront of innovation. It’s designed for the enterprise and continuously updated, letting you confidently deploy generative AI applications into production, at scale, anywhere. ...
Adobe, the company responsible for Sensei, has announced numerous generative AI innovations across its Experience Cloud aimed at redefining how businesses deliver customer experiences. Sensei leverages multiple LLMs within the Adobe Experience Platform, depending on unique business needs, while Adobe Firefly...
Improve accuracy of your test cases and efficiency of your resources leveraging Generative AI Traditional software testing methods often require significant human intervention and expertise to create compelling test cases, leading to increased time spent on test design and implementation. Also, as ...
Generative AI tools break in different ways than conventional apps. Problems such as hallucinations and bias create new issues for testers. In addition, these tools introduce new failure modes that testing professionals need to consider. Generative AI application development can greatly enhance productivit...
Comparing the Top Generative AI Platforms #1) LayerX (Recommended) #2) Aim Security #3) Prompt Security #4) Lasso Security #5) Qualifire #6) Robust Intelligence #7) Talon Conclusion Was this helpful? Recommended Reading Generative AI Security Solutions: Top-Rated ...
The Generative AI marketplace is on fire. Beyond the big platform players, there are many hundreds of specialty providers funded by ample venture capital and a wave of new open-source models and capabilities. Enterprise application providers, such as Salesforce and SAP, are building LLM capabiliti...
Data platform This is the underlying infrastructure that supports the storage, processing, and analysis of large volumes of data used by Generative AI applications. It includes databases, data lakes, and other storage systems, as well as the tools and services for data ingestion, transformation, an...
Document Automation with Generative AI Unlock and action data across any document type with generative AI Unlock, extract, and embed more data right into the flow of work with the power of computer vision and generative AI. Document Automation is an open, extensible, platform-native ...
Because of generative AI’s tendency to hallucinate, human oversight and quality control is still necessary. But human-AI collaborations are expected to do far more work in less time than humans alone—better and more accurately than AI tools alone—thereby reducing costs. While testing new produc...