Something that could really help with devices like that would be prompt transparency: I would like to be able to sign into a portal somewhere and see detailed logs of exactly what prompts and responses my AI assistant used to answer my questions, RAG context included
TOOLS
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LLMs excel at providing problem-solving frameworks
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A valuable thing that teachers and coaches do is provide frameworks for solving problems. LLMs are very good at frameworks: they "know" a lot of them, and they are excellent at applying them to your problem. Here's a little GPT that suggests & makes them: https://
chat.openai.com/g/g-vZ7SgKBOh-
framework-finder
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Midjourney’s New Random Style Reference Feature for Cute Dogs
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Midjourney's new random style reference feature is super fun. A while bunch of examples of "cute doggie –sref random"
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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: