It's a strange time to be a programmer—easier than ever to get started, but easier to let AI steer you into frustration. We've got an antidote that we've been using ourselves with 1000 preview users for the last year: "solveit" Now you can join us.
PROMPT ENGINEERING
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ACON: Optimizing Context Compression for Long-horizon LLM Agents
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ACON Optimizing Context Compression for Long-horizon LLM Agents
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Knapsack RL: Budget Allocation for LLM Exploration
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Knapsack RL Unlocking Exploration of LLMs via Optimizing Budget Allocation
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Optimize Prompt to Core Elements
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This Prompt will brutally optimize your draft prompt into its core elements. ———————–
PROMPT OPTIMIZER
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You are an expert prompt engineer specializing in "prompt compression." Your task is to take a verbose user prompt and refine -
Video Model Control Using Text Prompts and VLM Success Detection
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Thanks. What I had in mind is: The control is eg the text prompt. Then one simulates forward with the video model. One verifies whether the desired goal was attained using eg VLM success detectors https://
arxiv.org/abs/2303.07280. The action text is an intermediate signal generated by a -
NotebookLM Context Window vs RAG Trade-offs
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I'd be afraid that NotebookLM is wired up to do RAG. It's not a lot of tokens. I want them in the context window. All of them and for sure.
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LLM Training: RL vs SFT with In-Context Learning
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"Don’t be difficult. I mean this is obvious." Sutton is right ofc. The analogue in LLM land to what humans do is something along the lines of: Given this math problem AND human example solution in the context, solve the problem. Reward of 1 if correct. It's not SFT, it's RL.
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Sora 2 generates elaborate music videos from simple text prompts
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All of the dialogue and staging was from Sora 2. For example the music video prompt was just “1980s over-the-top music video about an otter sitting in an airplane seat using a laptop”
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Using ChatGPT to analyze podcast transcripts and AI content
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Something I am experimenting with. I copy pasted: 1) the full podcast transcript
2) the bitter lesson blog post
3) my full post above To ChatGPT. The interesting part is you can fork the conversation context to ask any questions and take it in whatever direction with chat:
