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 amatriain.net
Towards Reinforcement Learning with AI Feedback (RLAIF). What open-sourced foundation models, instruction tuning, and other recent events mean for the future of AI - AI, software, tech, and people, not in that order... by X
| | dtinit.org
The future of generative AI is personal - and portable? | Data Transfer Initiative
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| | Generative AI news fills all inboxes. But a key question of its future isn't yet being asked - will users be locked in, or will their data be portable?
| | amatria.in
Towards Reinforcement Learning with AI Feedback (RLAIF). What open-sourced foundation models, instruction tuning, and other recent events mean for the future of AI - AI, software, tech, and people. Not in that order. By X
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| | A few weeks back I shared my thoughts on how things were going to evolve in the race to build better/larger/smarter generative AI models, and particularly LLMs. Here is what I had to say:
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | johannesbrodwall.com
Planning software development with a time machine ยป Thinking Inside a Bigger Box
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| [AI summary] This blog post discusses a method for planning software development by imagining a future demonstration of a feature, allowing teams to focus on goals and uncover hidden assumptions.