Poor Things was one of my favorite movies last year. I could not get enough of the dramatic atmosphere and grand locations. I finetuned a model on @everartai , and now I can create these incredible scenes. Finetuning will soon be Hollywood's best AI application.
GENERATIVE AI
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Using LLMs and ChatGPT tools: practical guide series
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This is the 11th post in my ongoing series about how I use LLMs and tools like ChatGPT https://
simonwillison.net/series/using-l
lms/
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Claude 3 Automates Code Testing and Documentation Tasks
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This is probably the most interesting Claude 3 transcript – I pipe in my entire codebase, prompt Claude to "fill out the test_files_to_prompt.py with tests", feed it a test failure for it to fix, then tell it to "Fill out the Usage section of the README"
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Files-to-Prompt Tool: Building with Claude 3 Opus
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I released a new tool called files-to-prompt, which concatenates together files and directories to help pipe them into an LLM I built it almost entirely through prompting Claude 3 Opus. Here's a detailed write-up of how I did that and what I learned:
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Claude 3 simulates DOS games but struggles with unconventional approaches
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Claude 3 does a pretty good job simulating early 1980s DOS adventure games, it is pretty amusing to use the most sophisticated technology available today to play an Infocom knock-off. But it really doesn't like it when you try too "unconventional" an approach to problem solving.
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Stability AI Models Now Available on Hugging Face Platform
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Both models are available for testing on Hugging Face and can be utilized commercially as well as non-commercially with a Stability AI Membership. You can learn more on our blog: https://
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Stable LM 2 1.6B Update: Enhanced Conversations and Tool Usage
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This release includes an update to Stable LM 2 1.6B, which improves its conversational skills in all of the seven aforementioned languages and incorporates tool usage and function calling. (2/3)
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Stable LM 2 12B Multilingual Language Model Released
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Stable LM 2 12B is a pair of powerful 12 billion parameter language models trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch, featuring a base and instruction-tuned model. You can now try the model here:
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llm.c: Train GPT-2 in Pure C Without Heavy Dependencies
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Have you ever wanted to train LLMs in pure C without 245MB of PyTorch and 107MB of cPython? No? Well now you can! With llm.c: https://
github.com/karpathy/llm.c To start, implements GPT-2 training on CPU/fp32 in only ~1,000 lines of clean code. It compiles and runs instantly, and exactly -
Innovative AI Tool Gaining Attention from Community
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Yes ! Et l’outil assez mind bluffing… un petit génie à suivre .