Weeknotes 2023-04-03
if my editor reads this: everything’s totally fine --Ethan Marcotte
Not much work, but a fair share of paperwork, and finally traveled to Erlangen. New django-cast-release and applied with django-cast to the prototype fund🤞. Downloaded the LLaMA weights, and hope to find some time to play around with LLMs locally next week.
Articles
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AI-enhanced development makes me more ambitious with my projects
Example is a proxy fetch function to submit past chatGPT conversations to datasette, cool!
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First Steve Yegge post I've seen in a long time, welcome back 😁
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I guess I have to
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Pause Giant AI Experiments: An Open Letter
I think this is dumb, but some smart people did sign it? wtf...
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Illustrating Reinforcement Learning from Human Feedback (RLHF)
How to get from GPT3 to chatGPT
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Aligning language models to follow instructions
InstructGPT
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Learning from human preferences
RLHF explanation from openAI
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Think of language models like ChatGPT as a “calculator for words”
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Hmm, for me it's more like regardless of how hard I try to zig, I still zag.
Weeknotes
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Weeklog for Week 12: March 20 to March 26
Johannes
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Bithive
Open Source Funding
- Zuschüsse: Direkte finanzielle Förderung | NRW
- Time to give back to the community | Open Source Fund
Software
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Andrew Ng doesn't like it and I agree
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Question -> answer chatbot
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Examples of how to use the openAI APIs
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GenAI: generative AI tooling for IPython
Use openAI api directly in notebooks...
Podcasts
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#367 – Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the Future of AI Lex Fridman Podcast
Pretty solid
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pytest tips and tricks for better testing Talk Python To Me
Useful tips
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Episode 83: Influencers Hotel Bar Sessions
Fun episode, but influencers are maybe a too easy target
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Episode 88: ChatGPT Hotel Bar Sessions
Broke my rule not to listen to non-expert people talking about a topic I know something about -> instant regret.
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ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI Latent Space Podcast
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Chelsea Finn joins Host Pieter Abbeel to discuss distribution shift, meta-learning, editing LLMs, single-life RL, and what can AI not (yet) do today? The Robot Brains
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Alexandr Wang joins Host Pieter Abbeel to discuss data, labeling, foundation models, LLMs, truthfulness, reinforcement learning for human feedback (RLHF), and AI for defense The Robot Brains
Nice episode slug btw 😂
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How Django Really Works - Chaim Kirby Django Chat
Good! How do we spread the word about Django?
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Prompt Engineering and AI Constitutions with Stephen Wolfram
Nice one