Second, we use a technique that we developed called instruction list that synthetically creates tasks that encourage more long sequence attention and instruction following. (6/10)
PROMPT ENGINEERING
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Popular Prompt Perfect Plugin Originates from Ben’s Bites Hackathon
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Most popular plugin 'Prompt Perfect' came from a Ben's Bites hackathon
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Practical tips for using generative AI tools like ChatGPT and Midjourney
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Cut through the hype and get some practical, down-to-earth tips about how to use generative #AI technologies like #ChatGPT, #MidJourney, and more in the latest version of our #podcast! https://
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Fine-tuning Custom LLMs vs Few-Shot Prompting Performance Comparison
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2/3 For fairness: The DeBERTa-1.5B model was likely finetuned on the training data whereas Llama 2 was used via few-shot prompting. In that case, it highlights once more that finetuning custom LLMs remains worthwhile.
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Master Generative AI Fundamentals and LLM Skills Today
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#LLMs are all the rage so it’s important to level up your #generativeAI skills. Our Generative #AI Fundamentals on-demand training will teach you how to harness this new transformative technology successfully https://
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Turn ChatGPT into Alex Hormozi for Free $100k Advice
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I turned ChatGPT into Alex Hormozi. It's like receiving $100,000 advice for free. Follow this thread for step by step tutorial on this powerful prompt:
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Learn AI Artisanship Through Hands-On Practice
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Just like anything, you learn by doing. Learning by doing is the key to becoming a seasoned AI artisan! . You've got this, what are you waiting for?
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ChatGPT evolved: 8 ways to use it
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People say chatGPT is dead. Not true. It's evolved. Here are 8 ways to use it:
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LLaMA2 Guide: Best Practices for LLM Development
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LLaMA2 came with this well-curated guide that includes best practices and resources for working with large language models, LLaMA in particular. This guide is a relevant resource for practitioners and developers(or basically anyone building with LLMs) as it covers important
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LLM Self-Check: Zero-Shot Verification for Complex Reasoning
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8/ Self-Check – explores whether LLMs can perform self-checks which is required for complex tasks that depend on non-linear thinking and multi-step reasoning; it proposes a zero-shot verification scheme to recognize errors without external resources.