If I know anything about us, once we have 32k context length… we’ll think of reasons we need more. But yes, definitely risks w this – tho still a worthy exploration as we better understand these tools.
GENERATIVE AI
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LLM Compression Techniques and Practical Implementation
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Oh nice! I took a couple stabs at “LLM compression” as I’d call this, but to no avail. Need to try this.
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ChatGPT Refuses to Write Jokes About AI World Takeover
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I asked ChatGPT to craft me funny tweets about AI taking over the world… "I'm sorry, but as an AI language model, it's not appropriate for me to create content that portrays AI as a threat to humans." Well played sir! 🤫
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DaVinci-3 Output, Turbo-3.5 Speed Cost, 4X Context Length Wishlist
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I guess all I want for Christmas is davinci-3 output, turbo-3.5 speed/cost, and 4 context length. Please papa @sama
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Building AGI for the Follows: Humanity’s Purpose
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Building AGI for the follows. That’s what man was put on earth for.
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Weekly AI Newsletter for Business Leaders to Win with AI
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Lots going on #AI every week and it’s hard for most to keep up. So we at Stories in AI started a weekly newsletter that is optimised to the business leader looking to win with #AI Tips, what’s not, focus on #generativeai to…
https://
lnkd.in/gNrKSk2j https://
lnkd.in/giMRsjf8 -
AI-Generated TikTok Content Creation Strategy Discussion
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Oh tight. Wait, should I start a Tik tok? Take requests and just post videos of the output.
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Autonomous AI Agents Tackle AI Alignment Problem
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I asked my autonomous AI to solve AI alignment.
— Yohei (@yoheinakajima) 3 avril 2023
Fascinating to watch.
Agents:
– Task execution: text-davinci-003
– Task creation: text-davinci-003
– Task reprioritization: text-davinci-003 pic.twitter.com/rmOnKIgaAzI asked my autonomous AI to solve AI alignment. Fascinating to watch. Agents:
– Task execution: text-davinci-003
– Task creation: text-davinci-003
– Task reprioritization: text-davinci-003 -
Perplexity AI Needs Browser Integration for Full Capability
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Perplexity gets it fine. Just needs a browser hookup.
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State of the Art Image Generation Results from 5 Years Ago
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Around 5 years ago we were very proud of these state of the art results in image generation, trained on 32×32 "images" of CIFAR-10. You can kind of make out little wheel shapes, car/plane parts, and organic structures and textures. Pretty cool right