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!
CODE
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Claude 3 Prompt Engineer Auto-generates Test Cases
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claude-prompt-engineer: AI Agent Creates Optimal Claude Prompts
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Introducing `claude-prompt-engineer` ✍️
— Matt Shumer (@mattshumer_) 20 mars 2024
An agent that creates optimal Claude 3 prompts.
Just describe a task, and a chain of AIs will:
– Generate many possible prompts
– Test them in a ranked tournament
– Return the best one
And it's open-source: https://t.co/nrivU2BWmn pic.twitter.com/ruxDCrq1DLIntroducing `claude-prompt-engineer` An agent that creates optimal Claude 3 prompts. Just describe a task, and a chain of AIs will:
– Generate many possible prompts
– Test them in a ranked tournament
– Return the best one And it's open-source: https://
github.com/mshumer/gpt-pr
ompt-engineer
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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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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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Specifying Tools for Mistral Models: Payment Functions
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1/ Specify tools We need 2 tools in this example: retrieve_payment_status retrieve_payment_date In order for Mistral models to understand the functions, for each tool, we need to describe the tool's name, description, parameters, and the function.
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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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Python Statistics Module Thread for Data Science
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A thread on the #Statistics module in #Python — by @clcoding #DataScience #DataScientist #Coding
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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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Adding Vision and File Retrieval to AI Input Functionality
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Yeah, theoretically, I want to add vision functionality and file retrieval in the input.