Whisper can translate at the same time as it transcribes – it's surprisingly good at it https://
simonwillison.net/2022/Sep/30/ac
tion-transcription/
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Whisper AI Model Transcribes and Translates Audio Simultaneously
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Pip ecosystem binary packaging and cross-platform installation
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A neat thing about pip and its ecosystem is that – if you know how to package for it – it's actually really good at installing the right binary for the current operating system and adding it to the user's path
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Waiting for LLM Training Data to Write Better Code
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These days I'm also incentivized to wait a few years for enough good quality example code of a new librery to make it into LLM training sets such that I can get assistance from my weird AI interns when I write it
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TypeScript as New Language: Syntax vs Programming Patterns
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I don't get it – if it's TypeScript syntax how is it a new language? Is this a bit like how D3 sometimes feels
like a new language on top of JavaScript because it has its own patterns that you have to learn? -
Perplexica: Open-Source AI-Powered Search Engine Tool
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Perplexica – An AI-powered search engine Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Built with LangChain, this is a great resource for getting started! https://
github.com/ItzCrazyKns/Pe
rplexica
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Developer Takes Synthetic Data Break with Quick Refresh Build
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Spending the day thinking about synthetic data but I need a break. I think it’s time for a tiny refresh build to reset my mind. Aiming to get something done within an hour. Will post the result.
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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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Defining AI Agents: Code Interpreter as Goal-Achieving LLM
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(depending of course on which definition of "agent" you like to use! I'm using Code Interpreter as an example of an LLM that runs in a loop trying to achieve a goal across several attempts, using an external tool)
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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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Unreliable Computer Systems: Navigating Modern Computing Challenges
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We somehow managed to invent the world's most unpredictably unreliable computer systems! They're still incredibly useful, but you have to know all sorts of tricks to stay out of the many traps they unwittingly set for you