Midjourney's new random style reference feature is super fun. A while bunch of examples of "cute doggie –sref random"
TOOLS
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AutoHyDE: Advanced RAG Technique for LLM Enhancement
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AutoHyDE: Making HyDE Better for Advanced LLM RAG A fun article exploring new and creative RAG techniques Builds upon HyDE to add in keyword generation, clustering, etc Implements a LangChain Embedder which makes it easy to try out in your pipeline https://
towardsdatascience.com/autohyde-makin
g-hyde-better-for-advanced-llm-rag-619e58cdbd8e
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ChatGPT Code Interpreter: Agent Behavior and Default Integration
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That was the original release of ChatGPT Code Interpreter for me – it's usability dropped quite a bit when they baked it into default ChatGPT, because it's harder to understand when and why it's going to activate It's still an amazing example of useful agent-like behavior
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Summer of Simulative AI: Next-Gen Native AI Products Emerge
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🆕 @latentspacepod: The Summer of Simulative AI!https://t.co/mBBpWDTuK3
— swyx 🐣 (@swyx) 27 avril 2024
"one of the first truly ai native products, and will be as impactful as chatgpt." – @blader
"Trying out @figma on Websim" – @zoink
"literally the most alpha that has ever leaked" – @deepfates
Having… https://t.co/eSYXKU0eWi pic.twitter.com/9yp6rMJe0n@latentspacepod
: The Summer of Simulative AI! https://
latent.space/p/sim-ai "one of the first truly ai native products, and will be as impactful as chatgpt." – @blader "Trying out @figma on Websim" – @zoink "literally the most alpha that has ever leaked" – @deepfates Having -
LangChain Tool Calling Enables Cross-Model Agent Development
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"LangChain Tool Calling feature just changed everything" We recently added a common interface for tool calling across model providers This makes it easy to build agents that work across models Watch @EdenEmarco177 explain why this is a big deal https://
youtube.com/watch?v=dj8Yqi
E1Omc
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LazyClassifier for Classification Problems Usage Guide
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Similarly here is using LazyClassifier for Classification Problems. Check this out:
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LazyRegressor: Automated Model Selection and Evaluation for ML
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Model selection is key for any ML Project which includes identify the model that generalizes well and provides the best performance. This library can save time and effort by training and evaluating all your ML models at once. Here is using LazyRegressor for Regression Problems:
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Lazy Predict: Train and Evaluate Multiple ML Models Instantly
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Train and Evaluate all your Machine Learning Models at once! Introducing Lazy Predict a Python Library that allows you to train, test and evaluate all your ML models at once with just a few lines of code.
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Password Managers Hate This Security Method
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Thesis: Everyone with password managers hates this method.
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China unveils Vidu, AI video generator rivaling OpenAI’s Sora
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Overnight, China released their own version of OpenAI’s Sora:
— AI Breakfast (@AiBreakfast) 27 avril 2024
AI video generator “Vidu” can create 16 second clips at 1080p:pic.twitter.com/LkACnl1M2oOvernight, China released their own version of OpenAI’s Sora: AI video generator “Vidu” can create 16 second clips at 1080p: