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Source channel @githubtrending · Post #15558 · Mar 12

#python#agentic_ai#agents#memory Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production. https://github.com/vectorize-io/hindsight

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AI & Law

@ai_and_law · Post #124 · 09/27/2023, 07:04 AM

UK: CMA Releases Principles for Responsible AI Development Hello, everyone! The Competition and Markets Authority (CMA) has unveiled a set of principles to ensure the responsible development and use of foundation models (FMs) in AI. Foundation models, like ChatGPT and Office 365 Copilot, are versatile AI systems poised to revolutionize various sectors. The CMA's report lays out these guiding principles, with a focus on safeguarding consumer protection and fostering healthy competition in the AI industry. As AI rapidly integrates into our daily lives, the CMA recognizes the need for proactive intervention. These principles aim to strike a balance between promoting AI's potential for innovation and ensuring consumer safety. The CMA's proposed guiding principles focus on crucial areas like accountability, access, diversity, choice, flexibility, fairness, and transparency. These principles aim to guide FM developers and deployers toward responsible AI development and use. The CMA plans to engage extensively with stakeholders to refine these principles further. Stay tuned for updates in early 2024 as they continue shaping AI markets for the betterment of all. #ResponsibleAI#AIRegulation#ConsumerProtection#Competition#FoundationModels#CMAAIprinciples