China's own Open Source AI development Community (dare l say HugginFace 😆) featuring all the latest Chinese AI (perhaps more) with a Comprehensive open-sourced framework to assist model development and building of AI applications https://modelscope.cn/home #modelscope #hugginface #LLMs #Qwen #Deepseek #Wan

Build reliable AI applications Prompt quality plays a significant role in how successful a model's responses are for a given task. The Anthropic Console already streamlines AI development with tools to write, evaluate, and optimize prompts more efficiently. Write prompts: Use the Workbench to structure your prompts effectively, incorporate examples, and integrate external tools, in an interactive environment for testing API calls. Automatically generate prompts: Describe what you want to achieve, and Claude will use prompt engineering techniques such as chain-of-thought reasoning to create an effective, precise, and reliable prompt. Evaluate model responses: Evaluate your prompts against real-world scenarios with automatic test case generation and side-by-side output comparison. Easily run test suites, grade response quality, and make data-driven decisions about which prompts to deploy. Improve prompts: Automatically refine prompts using advanced prompt engineering techniques. This is ideal for adapting prompts that were originally written for other AI models, as well as for optimizing hand-written prompts. https://www.anthropic.com/

https://www.vccafe.com/2024/09/26/ai-agents-the-evolution-of-rpa/?amp This article discusses the AI Agent Frameworks for 2024. The 2024 AI Agent Ecosystem framework provides a useful categorisation of the emerging layers in AI development: Ecosystem Layer: Foundational models (like OpenAI’s GPT) and enterprise tools form the bedrock. Application Layer: Thousands of companies will build agent apps, leveraging multimodal capabilities and no-code tools. Management Layer: Critical functions include managing AI agents, securing permissions, and enabling payments. Data Layer: AI agents will rely on both exclusive private data and public datasets.