I like seeing a snippet of code!
SOFTWARE
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Custom GPTs Updated with Dependency Grammar Framework
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I just updated my Custom GPTs with Dependency Grammar Framework! You can test them out, but I already see content output as 100% human written: – Sales Email Generator GPT: https://
godofprompt.ai/gpts/sales-ema
il-generator
… – SEO Article Generator GPT: https://
godofprompt.ai/gpts/seo-artic
le-writer
… – Article Rewriter GPT: -
Evaluating Speed Cost and Offline AI Performance Metrics
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Speed, cost and the ability to run offline on a personal device are the things I care most about I still don't have a great answer for how to best evaluate these things but I'm researching that at the moment
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Implementation Discovery of Speed Enhancement Through EvoSDXL-JP Model Merging
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Wow, this is amazing! I tried to download a model from HuggingFace and run it, but CUDA ran out of memory. That's odd, so I looked at the contents of the .py file and found that it appears to be implemented as "Download 4 ingredient models and merge synthesize EvoSDXL-JP on your end"…! So you can actually achieve speed enhancement just by merging…! x.com/iwiwi/status/1…
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Backends Simplified: LLM and Prompt Engineering Revolution
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Well it’s true that the backends would be a simple prompt + a LLM nowadays …
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Ollama LLM Plugin Integration for WordPress
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Yes, ollama is a great option too – I only wrote about the options I'd got running myself, ran out of time! There's an LLM plugin for ollama here:
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LLaMA 3 70B enables instant code refactoring on Groq
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Using LLaMA 3 70B on @GroqInc to instantly refactor and document code.
— Matt Shumer (@mattshumer_) 22 avril 2024
The implications for software engineering are wild.
Gone are the days of waiting on an LLM for suggestions or code changes.
Now, it's an instant feedback loop.
Demo link in the comments: pic.twitter.com/joLJy4oJ3TUsing LLaMA 3 70B on @GroqInc to instantly refactor and document code. The implications for software engineering are wild. Gone are the days of waiting on an LLM for suggestions or code changes. Now, it's an instant feedback loop. Demo link in the comments:
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LLM Plugin Directory Now Features 30 Available Plugins
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The LLM plugin directory lists 30 plugins now! https://
llm.datasette.io/en/stable/plug
ins/directory.html
… If you want to try writing your own there's a comprehensive tutorial included in the docs: https://
llm.datasette.io/en/stable/plug
ins/tutorial-model-plugin.html
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LLaMA 3-based model deployment nearing completion
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Very soon. This is one of the last things I have to get working well before we can push a LLaMA 3-based model live.
