Cubode

What is AI most in need of? Determinism. The What You See Is What You Get kind of determinism, that's what this mini AI Agent we're building brings to plotting data. AI will do the heavy lifting and you will be able to change plot type, colours, titles, legend, aggregation type... In a fully interactive plot that's auto generated when you load your CSV directly on your browser. This is the latest update of an ongoing product, not available yet, but you can join the waiting list if you want to give it a go, link in comments. #GenAI #AIAgents #AgenticWorkflows #DataVisualisation #Echarts

What is RAG and how do they help LLMs? 🧐 If you're building an AI Agent and you don't know how to implement RAG to build your workflow, read the medium article in the comments for a step-by-step guide to implement it on both Llangchain and LlamaIndex.

How to Build an AI Agent: Picking our Plotting Library If you don't know how to build an AI Agent, like most of us! We are building one so you can learn with us! The task for the day was to choose a library for the plots the Agent would generate. We chose ECharts, an incredible open-source JavaScript library that allows for fully cutomisable and interactive charts that live in your browser! We did look at alternatives like Vega-Altair and Plotly, but ultimately we decided on ECharts for its versatility and simplicity. Let me know if you’ve used this library yourself!

Is Django the Best Backend Framework for AI Products? Hi, this is Ben 👋 The team asked me to explain why we used Django for the backend of our AI Agent challenge, in under 30 seconds! I utterly think it's the best choice, I've left the full article with a comparison analysis against Flask and FastAPI in the comments. It's one of our most read articles 😎 We work in bets, with strong beliefs weakly held, so if you have proof that other frameworks are best, I'd love to hear from you in the comments or DMs #ai #aiagent #codechallenge #backend #django #aichallenge

We choose Langchain to build our first AI Agent and wrote an in depth analysis of why we think Langchain is better than LlamaIndex for this project, with 5 different tests with and the steo-by-step code tutorial (link in comments), including RAG and agent build itself. Langchain gives you simplicity and speed of development that LlamaIndex can't offer. This is day 5 of our 30 day challenge to build an AI Agent, open sourced and documented. #langchain #ai #aiagents #aiagent

Are you thinking on building a product in AI? If you are not, this post isn't for you, keep scrolling 👆 Yesterday was day 7 of Building an AI Agent in 30 days challenge, and we chose the perfect frontend framework: vanilla javascript and web components. Want to know why? Watch the video What’s your frontend choice? Tell us below! #WebDevelopment #webcomponent #UIUX #dataanalysis #javascript #coding

What is RAG and how do they help LLMs? 🧐 If you're building an AI Agent and you don't know how to implement RAG to build your workflow, read the medium article in the comments for a step-by-step guide to implement it on both Llangchain and LlamaIndex.

What is RAG and how do they help LLMs? 🧐 If you're building an AI Agent and you don't know how to implement RAG to build your workflow, read the medium article in the comments for a step-by-step guide to implement it on both Llangchain and LlamaIndex.

Who's building AI Agents? 🦜 🔗 🦙 If you haven't been paying attention, AI Agents are here and they have already started to change everything, starting with how we interact with LLMs. We're so excited for this 🚀 So much so that we're running a Challenge: Building an AI Agent from scratch in 30 days 🤯 We're not just building it. We're documenting the whole process on Medium And Youtube, Tiktok, Instagram... maybe here too? And we're releasing open source! 💾 The goal of our Agent is to auto-generate customisable data visualisations, and we've started it from scratch as a packaged finalised product, with its front end, back end and AI system. This morning we released part 1 of 2: What's the best AI Framework Langchain or LlamaIndex? With a Step-By-Step Guide Using ChatGPT4o & Llama3 Next article covers "What frontend framework to choose in 2024?" Link in the comments, let us know if you find this useful, we'd love to hear from you! #ai hashtag #aiagents hashtag #buildinginpublic hashtag #langchain hashtag #llamaindex

Yesterday, David & I had the privilege of representing Cubode at the UK Parliament, where we discussed with Chi Onwurah MP what things can be done to develop and foster a thriving tech ecosystem in the UK. Some key topics discussed: - AI Infrastructure and Compute Access - Data & AI Talent Retention - Capital Flow between the North & South - Potential increase to SEIS - Rail Infrastructure and its accessibility, at times, being easier to travel to continental Europe than to London 😳 It was great to see some familar faces as well 👍 Thomas Farquhar Dr Samuel Impey Kirstin Coughtrie Baltic Ventures