It's just so weird and unintuitive having super-advanced computers that can't reliably do the things that we tell them to do
GENERATIVE AI
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Large Context Windows Boost LLM Performance Through Many-Shot Learning
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Very large context windows may extend the capabilities of LLMs because you can give them hundreds of examples on how to solve a problem (many shot learning). This paper from Google finds significant performance boosts from many shot, even when the AI generates its own examples.
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Compound AI Systems Outperform Single Models Approach
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Compound AI systems bring models, feedback, external knowledge together; going to be much better than just single models/ single shot approaches!
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Amplify Marketing Strategy with ChatGPT Prompts
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Boost marketing with ChatGPT Prompts Amplifies strategy effectiveness • Craft compelling content
• Engage customers actively
• Analyze feedback swiftly Read more: https://
godofprompt.ai/blog/chatgpt-p
rompts-for-digital-marketing
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Function Calls as JSON Schema for Multi-Model AI Integration
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Function calls are really just JSON output that fits a specified schema, so definitely possible to use multiple models at the same time by passing JSON strings around
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Benchmark Accuracy vs Real-World Model Performance Analysis
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I think those scores aren't so much general accuracy as they are how many of the increasingly weird challenges in the benchmark the models get right – depending on the application I would expect a model that gets 70% on the benchmarks would get closer to 100% in actual use
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Function Calling: Underappreciated LLM Application Beyond Knowledge
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Under-appreciated leaderboard in my opinion – function calling (aka tool usage) is one of the most interesting applications of LLMs, plus it should be independent of how much "knowledge" is baked into the models
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Comparison between Claude and Perplexity to save conversations
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That would be quite disappointing though. Cannot say I would be willing to save Claude's conversations. Especially if I have Perplexity with Opus which can access the internet and where they have their collections feature
