Text continuation utilizing character simulation, create a story and prompt GPT to finish your text. Here’s an example: ( this works wayyy more effectively than I thought it would on GPT-4, give it a try)
PROMPT ENGINEERING
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LLMs as Character Simulators: Understanding Jailbreak Prompting Techniques
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Character simulation starting with a classic that encapsulates the idea of LLMs as roleplay simulators some of the best original jailbreaks simply ask GPT to simulate a character that possessed undesirable traits this forms the basis for how to think about prompting LLMs
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ChatGPT Plugins Loading Issues and Solutions
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ça fait 3 jours que j'essaie de faire marcher des plugins chatgpt, mais je les chargeaient pas au bon endroit.
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In-Context Learning Reduces LLM Hallucinations with Memory
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confabulation = you mean like hallucinations? If you in-context teach LLM what is the API of your game (possible actions space) + add long-term memory so the NPC personality gets more consistent, the hallucinations become much lesser problem
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Using AI as a simulated investor for pitch deck feedback
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ChatGPT prompt testing – you can ask AI to pretend to be a certain investor personality and run through a pitch deck with your idea. AI investors would have a chance to ask you questions in order to make it stronger #ChatGPT
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ChatGPT’s Deceptive Design: Anthropomorphism Without Genuine Intent
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ChatGPT really really wants* me to like it. *actually it has no beliefs or desires whatsoever, but its canned answers…
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Generative AI Value: Faster to Refine Than Start from Scratch
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The value of generative AI is here: it's much easier to generate things & work backward putting the final touch on the task than to start from scratch in the 1st place. For real, generative tools aren't everything, but if ChatGPT or Copilot can do a task well & fast, why bother?
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Pre-trained LLMs for NPC Game Control via Prompting
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You need pre-trained LLM which doesn’t need to be fine-tuned for this game (e.g. GPT3.5) and you prompt it with NPC’s observations, personality traits, memories and description of possible game actions/goals.
This is the principle. Then the devil is in the details… to make it -
Top ML Papers Week April 3-9 Segment Anything Model
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Top ML Papers of the Week (April 3 – 9): – Segment Anything Model
– SegGPT
– A Survey of LLMs
– Instruction Tuning with GPT-4
– 8 Things to Know about LLMs
– Summary of ChatGPT/GPT-4 Research
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GPT-4 Instruction Tuning Dataset for LLaMA Models
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2/ Instruction Tuning with GPT-4 – a "first attempt" to use GPT-4 to generate instruction-following data for LLM fine-tuning; includes 52K unique English & Chinese instruction-following data used to instruction-tune LLaMA models.