It's based on my previous `gpt-prompt-engineer` that went viral (5k+ stars on Github) with a few massive improvements:
– Uses Claude 3 (writes far better prompts than GPT-4)
– Auto-generates test cases, further automating the prompt eng process
– Supports multi-variable prompts!
GENERATIVE AI
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Claude 3 Prompt Engineer Auto-generates Test Cases
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Prompt Engineering Tournament System with ELO Comparison
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How it works, in a nutshell:
– The user describes the task and input variables
– Claude generates many candidate prompts to try
– Each prompt generates against each test case, and the outputs are compared (by Claude!) for each combo, ELO tournament-style
– Highest score wins! -
AI-Generated Prompts Outperform Manual Prompt Engineering
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I've been blown away by the quality of the generated prompts. Often, they outperform the prompts I'd write by hand (especially when I ask it to generate and compare 10+ prompts). I am already using this for my day-to-day prompting work… it takes the guesswork out of it.
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Claude Constrained Agent Chains Calls for Optimal Prompts
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`claude-prompt-engineer` is a constrained agent — meaning its behavior is highly-controlled, leading to better results than open-ended agents. It chains together lots of Claude 3 calls that work together to find the best possible prompt.
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Character.ai Launches Free Custom Voice Feature for All Users
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Give your Characters a Voice! Choose from thousands of Voices or create your own. Now available to everyone today for free.
— Character.AI (@character_ai) 20 mars 2024
Get the app: https://t.co/wKqSpHyUWN pic.twitter.com/yuxsJQeg3gGive your Characters a Voice! Choose from thousands of Voices or create your own. Now available to everyone today for free. Get the app: https://
share.character.ai/lxtB/app -
MistralAI Function Calling Support and Claude Bedrock Integration
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MistralAI Function Calling is now officially supported on v1.6.2 Along with other updates: Claude 3 Haiku support on Amazon Bedrock Azure OpenAI Vision Patch note:
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MistralAI Function Calling Integration on Flowise Platform
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MistralAI supports Function Calling which allows models to connect to external tools. Excited to support that on Flowise as an alternative to OpenAI! Let's walk through a simple example of obtaining payment status and date from mock API with function calling:
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Netflix Paper on Cosine Similarity for RAG Systems
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If you want a good read on cosine similarity here’s a fantastic paper by Netflix. It discusses building good RAG systems. Before building these systems, you have to make decisions on chunking, embedding, and algorithms for similarity look-up. You want to ensure you are using
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NVIDIA Announces ChatRTX and TensorRT-LLM Ecosystem Growth
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This week #AIDecoded is coming to you from #GTC24. Check out the latest #AIonRTX announcements including: ChatRTX features announced Generative AI dev contest winners TensorRT powering creative apps TensorRT-LLM ecosystem growth NVIDIA AI Workbench
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Format Control Mastery in Prompt Engineering
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3. Journey Into Format Control in Prompt Engineering
— Rowan Cheung (@rowancheung) 20 mars 2024
This one goes pretty deep into how to consistently get various output types like JSON when working with LLMs.
Also, if you prefer to listen, Cosmo turns text content into videos! pic.twitter.com/MZTFBBes5b3. Journey Into Format Control in Prompt Engineering This one goes pretty deep into how to consistently get various output types like JSON when working with LLMs. Also, if you prefer to listen, Cosmo turns text content into videos!