For this notebook, it's not too expensive, because most of the calls use Haiku by default. Don't have exact numbers. In terms of overall tokens, this thing is a monster.
PROMPT ENGINEERING
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Few-Shot Examples Improve Claude Opus Model Performance
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If the examples are better than what Opus would generate zero-shot, it'll get better
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Creating Content Is Easier With AI Help
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They're not as hard to make as people think! And using AI helps 🙂
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XML Prompting Techniques Maximize AI Model Performance
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It's pretty important, yeah. Some prompts don't need it if the output is good enough w/ a basic prompt, but if you really need to maximize performance, XML is the way to go.
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Converting GPT-4 prompts to Claude format with HTML tags
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Yes — instead of Markdown, use tags. If you dig through my tweet history, a couple weeks back I posted a conversion prompt that takes a GPT-4-style prompt and converts it to Claude format.
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Zero-Shot Methods to Enhance Foundation Model Performance
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Want to get more out of your foundation models? Join Dyah Adila's upcoming talk on zero-shot methods to enhance embeddings – no fine-tuning required! Free & online! Register now: https://
snorkel.ai/event/better-f
m-performance-sans-fine-tuning-research-talk-with-dyah-adila/
… #NLP #AIResearch -

AI breakthroughs: neural interfaces, model evolution and new opportunities
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Top stories in AI today: -Neuralink patient plays chess with mind
-Sakana AI evolves new AI models
-Turn simple Claude prompts into “mega” prompts
-Stanford gives AI an inner monologue
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/mind-control
led-gaming-is-here
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Using Claude for Conference Paper Review Baseline
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If you are organizing a conference, consider using Claude to establish a baseline for paper reviews. Not to replace human reviewers but to set the bar. Also consider to use an LLM to review the reviews, alerting program chairs to potential shortcomings.
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Claude Prompt Engineer vs Opus to Haiku Tool Comparison
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You might be using claude-prompt-engineer, not opus-to-haiku, btw
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Few-shot examples boost model performance beyond GPT-4 affordably
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Add a few examples and it’ll outperform GPT-4 by far at a fraction of the cost