Uncategorised
A comprehensive guide to running Llama 2 locally
How to run Llama 2 on Mac, Linux, Windows, and your phone.
Safety & Alignment
Moving AI governance forward
OpenAI and other leading labs reinforce AI safety, security and trustworthiness through voluntary commitments.
Uncategorised
Machine Learning for High Risk Applications
Read expert takeaways for Machine Learning (ML) for high risk applications, including how to align incentives, why explainable AI is crucial, and building a responsible AI framework.
Product
Custom instructions for ChatGPT
We’re rolling out custom instructions to give you more control over how ChatGPT responds. Set your preferences, and ChatGPT will keep them in mind for all future conversations.
ai, business
4 Key Risks of Implementing AI: Real-Life Examples & Solutions
As the incorporation of artificial intelligence (AI) expands, so does the complexity and range of its risks. Businesses are increasingly cognizant of these challenges, yet the roadmaps to solutions often remain shrouded in obscurity.
If the question ‘How to navigate these risks?’ resonates with you, then this article will serve as a lighthouse in the fog. We delve into the heart of AI’s most pressing issues, bolstered by real-life instances, and lay out clear, actionable strategies to safely traverse this intricate terrain.
Read on to unlock valuable insights that could empower your business to leverage the potency of AI, all the while deftly sidestepping potential pitfalls.
Artykuł 4 Key Risks of Implementing AI: Real-Life Examples & Solutions pochodzi z serwisu DLabs.AI.
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What happened with Llama 2 in the last 24 hours? 🦙
A roundup of recent developments from the llamaverse following the second major release of Meta’s open-source large language model.