This paper proposes the Knowledge Graph of Thoughts (KGoT) architecture for AI assistants, integrating LLM reasoning with dynamically constructed knowledge graphs to reduce costs and improve performance on complex tasks like the GAIA benchmark.
This article details the creation of 'Stevens', a personal AI assistant built using a single SQLite table to store 'memories' and cron jobs to ingest data and generate daily briefs. It emphasizes a simple architecture leveraging Val.town for hosting and highlights the benefits of broader context for personal AI tools.
This article details how Coda and Grammarly integrate to improve team workflows, communication, and overall productivity. It highlights features like Coda's all-in-one workspace, AI assistance, and Grammarly's AI-powered writing tools for clarity, branding, and insight.
Waveshare has released an ESP32-S3 development kit featuring a 1.85-inch round touchscreen, Wi-Fi, Bluetooth, microphone, and optional battery/speaker. It's aimed at audio-focused projects like smart speakers and HMIs.
Yelp reviewed various large language models (LLMs) for correctness, relevance, and tone to enhance its AI assistant, improving user experience and engagement.
Ollogger is a powerful, flexible logging application that helps users create custom AI-powered logging assistants. Built with React, TypeScript, and modern web technologies.
gptme is a personal AI assistant in your terminal, enabling it to use the terminal, run code, edit files, browse the web, use vision, and more. It assists in all kinds of knowledge-work, especially programming.
Amazon's AI shopping assistant Rufus helps customers make informed decisions by answering shopping-related questions using a custom language model and innovative techniques in generative AI.
01.AI's Yi-Coder, an open-source AI coding assistant
Key Features:
- 9B and 1.5B parameter versions
- 52 programming languages
- context length of 128,000 tokens
- code editing, completion, debugging, and mathematical reasoning
Aider is an open-source tool that allows users to pair program with large language models (LLMs) in their terminal. It works with popular languages like Python, JavaScript, TypeScript, PHP, HTML, CSS, and more. Aider can make coordinated changes across multiple files, use a map of the entire git repository, and work well in larger codebases. Users can chat with Aider about their code, ask for changes, and Aider will edit the files to complete the request.
