RubentakChunking Methods, Fundamental Concepts for RAG ApplicationsIn this series of articles, I will explain fundamental concepts and best practices for RAG applications. Specifically about chunkingMar 4Mar 4
RubentakTalk to your files in a local RAG application using Mistral 7B, LangChain 🦜🔗 and Chroma DB (No…I will show how you can use the Mistral 7B model on your local machine to talk to your personal files in a Chroma vector databaseOct 24, 20238Oct 24, 20238
RubentakMistral 7B 🟠: The best 7 billion parameter LLM yet.Mistral 7B is the best open-source 7B parameter LLM to date. It can be run locally and online using Ollama.Oct 16, 20232Oct 16, 20232
RubentakEmploy a team of GPT-4 AI agents with ChatDev: build an application in only one promptHow I was able with a team of AI agents to make an app using only one prompt!Oct 11, 20233Oct 11, 20233
RubentakOpen Interpreter: Get GPT-4 🤖 and LLama 2🦙 to run code on your computer 💻How I made a stock price analysis using only one command in my terminal.Oct 8, 2023Oct 8, 2023
RubentakA deep dive into Deep Learning: Recurrent Neural NetworksThis article was co-written by Oanottage and Gabriel Rennó.Sep 18, 2023Sep 18, 2023
RubentakDemystifying AI: How It’s Transforming Businesses TodayIn this article, I explain what AI can do for your business. AI is more than a summarisation tool and there is more to AI than only…Sep 7, 20231Sep 7, 20231
RubentakDeep Learning and Convolutional Neural NetworksIn this article, we will go into the realm of Deep Learning with Convolutional Neural Networks.Aug 25, 2023Aug 25, 2023
RubentakHow does an AI learn? Training Neural Networks with BackpropagationIn this article, I will explain how AI’s learn and how to oprimise your NN. Topics are backpropagation, gradient decent and regularisationAug 13, 20231Aug 13, 20231
RubentakUnderstanding Feed Forward Neural Networks with MNIST DatasetWe’re going to explore Feed Forward Neural Networks. No fancy jargon, just a down-to-earth exploration of what they are and how they work.Aug 2, 2023Aug 2, 2023
