Artificial Intelligence | News, analysis, features, how-tos, and videos
Responsible AI isn’t really about principles, or ethics, or explainability. It can be the key to unlocking AI value at scale, but we need to shatter some myths first.
The MongoDB AI Application Program will offer enterprises strategic advice, professional services, and an integrated end-to-end technology stack for building generative AI applications.
Amazon Q Developer, the evolution of Amazon CodeWhisperer, can be used from the AWS console, Slack, or development environments such as Visual Studio Code and JetBrains IDEs.
Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications.
Copilot-native developer environment allows developers to brainstorm, plan, build, test, and run code using natural language.
Without skilled developers supervising AI coding assistants, they are likely to break your code rather than write it. Right now, only people can fine-tune and evaluate AI.
Jointly developed by researchers from École Polytechnique Fédérale de Lausanne (EPFL) and Yale School of Medicine, and supported by the International Committee of the Red Cross (ICRC), the LLM is built upon the Meta Llama2 platfo
Enterprises may find it faster and easier to deploy their AI models in a public cloud that runs them as a service. AWS is jumping on this trend.
Deploying a large language model on your own system can be surprisingly simple—if you have the right tools. Here’s how to use LLMs like Meta’s new Llama 3 on your desktop.
Arctic will be available under the Apache 2.0 license and can be accessed via Snowflake Cortex for serverless inference or across providers such as AWS, Azure, Nvidia, Perplexity, and Together AI.
Sponsored Links