TypeScript 5.5's type predicate inference is SO good omg

Got some great result with using Langchain, GPT, function calls and JSON schema to extract recipes from web pages into a formatted JSON for heycookbook.com . No need to maintain any HTML parsing and formatting!

I have been using LLMs, Langchain and RAG for two use cases and I am really impressed about the results: 1) Extract and transform data into a structured format using with_structured_output 2) Perform text matching with embedding

My indie hacking breakdown lately: 🎨 40% crafting ads and landing page designs on Figma 📈 20% setting up analytics and ad campaigns 🧪 20% researching lead acquisition strategies 💻 20% building with LangChain and OpenAI Check out my project at heycookbook.com

I am writing some Terraform to deploy a Python script to AWS lambda as a docker image, it turns out more challenging than I thought but cool to get 10GB function size limit, especially since those ML dependencies are really big!

Just discovered React Email to build emails using React and export to HTML that works with any email clients! This is very much welcomed to build out my marketing emails! Link: react.email/docs/introduct…

400GB of NHS data is now publicly available, sounds pretty bad independent.co.uk/news/uk/home-n…

After using GitHub Copilot for more than a year: - Code completion 👎 - Copilot chat 👍 Great to be able to prompt with current file as context but the code completion still sucks. Would be great to be able to choose the model, heard Anthropic ‘s model is great for code

Claude 3.5 from Anthropic is giving me much better results than GPT 4 on code prompts (Terraform, NodeJS Lambda and Python Lambda). You can try it now here: claude.ai/chat

I don’t get why Lime charge my < 10mn rides even though it says 10mn free, am I missing something?

My first exposure to the CrowdStrike bug this morning when I went to Virgin Active UK and saw the bluescreen of death 😂

Has anyone used Readyset to cache Postgres queries/table at scale ? What are the alternatives and trade offs ?

i know a senior engineer when i see one

I am trying to build a reliable RAG pipeline but I am struggling to pull relevant data from a my vector DB, anyone with LLM and RAG experience could help me?

To all online shops, please stop using Royal Mail the couriers are careless leading to loss and stolen parcels

I thought building a RAG pipeline was all about using an LLM to query chunks in a vector DB although I would never get the right context for my queries. This article explain an interesting approach by storing summarised data alongside the chunks towardsdatascience.com/leveraging-sma…

I am genuinely impressed how good GH copilot is with building correct SQL

I can’t wait to use Claude 3.5 with GitHub Copilot!

Why did Google release the transformers whitepaper to the public? It feels like they could have used this breakthrough to have a huge competitive advantage in AI.

How can Heathrow allow such a critical single point of failure. One single fire shutting down the airport and creating massive disruptions