I don’t need to Google for coding help anymore. ChatGPT is now my coding partner all thanks to 10 simple prompts. Here’s the list ↓
PROMPT ENGINEERING
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Check Out Documentation Center Tips and FAQ Pages
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Please check out our doc center and tips page https://
abacus.ai/help/howTo/cha
tllm/prompting
… And this FAQ page, which has some details https://
abacus.ai/help/howTo/cha
tllm/faqs
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Using persona-based prompts to improve AI writing quality
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"AI writing sucks and it's obvious"
— God of Prompt (@godofprompt) 12 décembre 2024
That's what I thought until I discovered the power of persona-based AI writing.
Here's 5 premium prompts from my prompt library that will help you write like famous leaders 🧵: pic.twitter.com/KDkgNvTAC3"AI writing sucks and it's obvious" That's what I thought until I discovered the power of persona-based AI writing. Here's 5 premium prompts from my prompt library that will help you write like famous leaders :
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Santa Voice Added to ChatGPT Realtime API for Developers
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Just dropped a new Santa voice in ChatGPT today! 🎅
— Romain Huet (@romainhuet) 12 décembre 2024
Developers, you can add some holiday cheer to your own app—Santa’s in the Realtime API! Check out our prompt examples in the system instructions. Ho-ho-hope you give it a try! ❄️https://t.co/TctJJNSVSx https://t.co/j8heTSvBQ9Just dropped a new Santa voice in ChatGPT today! Developers, you can add some holiday cheer to your own app—Santa’s in the Realtime API! Check out our prompt examples in the system instructions. Ho-ho-hope you give it a try! https://
platform.openai.com/playground/rea
ltime
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LLM Method Uses Sample Tasks for In-Context Learning
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The researchers’ method uses an LLM pre-trained on text from across the Internet. Before asking PRoC3S to do a task, the team provided their language model w/a sample task (like drawing a square) that’s related to the target one (drawing a star). The sample task includes a
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LLM Monitoring Evaluation and Prompt Engineering Deep Dive Course
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If you want an in depth course on how to monitor, evaluate, and prompt engineer LLM applications (whether using LangChain or not)… then this is the course for you!
— Harrison Chase (@hwchase17) 11 décembre 2024
~4 hours deep dive into tracing, evals, prompts, monitoring, feedback
👇👇👇 https://t.co/hnKTC4SpdFIf you want an in depth course on how to monitor, evaluate, and prompt engineer LLM applications (whether using LangChain or not)… then this is the course for you! ~4 hours deep dive into tracing, evals, prompts, monitoring, feedback
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Domain-Specific Evaluation Sets for LLM-as-a-Judge Pipeline
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Devs, let's chat at @NeurIPSConf about a previous paper: Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge. The idea is to introduce a data pipeline to generate domain-specific evals for LLM-as-a-Judge, for uses cases. Paper
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Gemini vs Perplexity: Speed and Success
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Comparing Gemini Deep Research with Perplexity Pro Reasoning. Neither of the solutions manager to solve the task but:
— 🚨 AI News | TestingCatalog (@testingcatalog) 11 décembre 2024
– Perplexity is much much faster
– Deep Reasoning was able to complete it after 5 attempts https://t.co/pnT8Ltfqti pic.twitter.com/zIMl67k49eComparing Gemini Deep Research with Perplexity Pro Reasoning. Neither of the solutions manager to solve the task but: – Perplexity is much much faster – Deep Reasoning was able to complete it after 5 attempts
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New Release 2.2.2: Custom Assistant Creation with Tools and Knowledge
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With the new 2.2.2 release, we also introduced an alternative way of creating custom assistant.
— FlowiseAI (@FlowiseAI) 11 décembre 2024
This provides a much easier way of crafting your own agent, with dedicated tools and knowledgebase.
It can even help you to generate a good system prompt and tools description! pic.twitter.com/sqg19iZ0UfWith the new 2.2.2 release, we also introduced an alternative way of creating custom assistant. This provides a much easier way of crafting your own agent, with dedicated tools and knowledgebase. It can even help you to generate a good system prompt and tools description!
