OpenAI's Next-Generation Models Hit Big Bottleneck, Former Chief Scientist Reveals New Route
OpenAI's next-generation large language model 'Orion' may be hitting an unprecedented bottleneck. According to The Information, OpenAI employees claim that the Orion model's performance gains have fallen short of expectations, with GPT-3 to GP...
Learn TOML format configuration files in a minute
TOML is a clean and simple configuration file format 📄 designed to be more human readable and writable ✨. ✅ Easier to write: Configurations are represented as key-value pairs without complex indentation and syntax rules, reducing the error rate. ✅ Clearer: Supports grouping [group] and nesting structure, layer...
WhoisMaking.Money: Analyzing Stripe, Paypal Payment Traffic, Mining Overseas Money Making Tracks
General Introduction WhoisMaking.Money is a website focused on analyzing Stripe payment traffic and helping users discover which websites and domains are earning revenue through online payments. With detailed data analysis and trend reports, users can easily understand market dynamics and competing...
ModelScope Swift: a lightweight infrastructure for efficiently fine-tuning and deploying large models.
Comprehensive Introduction ModelScope Swift (MS-Swift for short) is an efficient lightweight infrastructure designed for fine-tuning, reasoning, evaluating, and deploying large models (LLMs) and multimodal large models (MLLMs). The framework supports over 400 LLM...
LLaMA Factory: Efficient fine-tuning of more than a hundred open-source large models, easy model customization
Comprehensive Introduction LLaMA-Factory is a unified and efficient fine-tuning framework that supports flexible customization and efficient training of more than 100 large language models (LLMs). With the built-in LLaMA Board web interface, users do not need to write code to complete the model...
AI College of Engineering: 2.11 Advanced Query Processing (Query Conversion User Manual)
Introduction The Query Transformations User Manual demonstrates a variety of techniques for transforming and disambiguating user queries before they are executed in a Retrieval-Augmented Generation (RAG) query engine, intelligences, or other processes. These transformations can improve the quality and relevance of responses in AI applications. https://gith...
Hoarder: open source AI bookmark management tools, support for multiple formats, intelligent labeling, full-text search
General Description Hoarder is a self-hosted bookmark management tool that supports storage of links, notes, PDFs and images. It utilizes AI technology for automatic tagging and provides full-text search capabilities. Users can use the Chrome plugin and Firefox plugin...
Sora was leaked "with a vengeance"! Artist's public protest: not your unpaid RDs
A spokesperson for OpenAI has issued an official statement in response to the incident. The statement said that the Sora model is still in the "research preview" phase and that the company is trying to balance creativity with strong security measures so that the technology can be used more widely in the future. ope...
OPENAI Launches Work with Apps: Letting ChatGPT Collaborate with Apps
You're on your side, and since yesterday's release of Anthropic's open source Model Context Protocol: Model Context Protocol (MCP), according to Anthropic, Block, and Apollo, among others...
To program correctly with AI IDE tools, you need to construct a set of specification documents and detailed requirement statements
It's like being a smart kid who doesn't understand coding best practices. You need to tell the AI exactly what you want: is it a web application? What functionality is needed? What is the structure? And so on. Here's how to make AI your full-stack developer: Context to...









