The development of AI Agents or AI Assistants is booming, with various Agents emerging. How do we develop an Agent or Assistant? Through the PhiData project, we can glimpse the foundational components and frameworks for Agent development. Project Positioning 🎯 The slogan of PhiData is “Building memory, knowledge, and tools for AI assistants.” The capabilities … Read more
Learn how to converse with AI here Get 100,000 words of free AI learning materials In today’s rapidly advancing technological era, artificial intelligence (AI) is no longer a concept from science fiction but has genuinely integrated into our lives. From voice assistants on smartphones to intelligent control of smart home devices, and the convenient functions … Read more
Finally, Kimi has been updated! I’ve been looking forward to this. It is said to be in grayscale: but my interface still looks like this. Let’s wait a bit and try later~ Let’s read the paper together and see what technical details have changed. Address: https://github.com/MoonshotAI/Kimi-k1.5/blob/main/Kimi_k1.5.pdf The pre-training methods of large language models (LLMs) have … Read more
AliMei’s Introduction This article shares detailed development experience and best practices using the AI framework LangChain, Alibaba Cloud Tongyi large model, and AnalyticDB vector engine, taking the construction of an AIGC application ChatBot and AI Agent as examples to provide a reference for quickly implementing AIGC applications. Introduction On September 13, the Tongyi Qianwen large … Read more
Learn how to converse with AI from here Get 100,000 words of free AI learning materials The Spring Festival of 2025 is approaching! Want to experience a unique and tech-savvy Spring Festival? Today, I will share 5 super practical AI command templates that will help you easily grasp the Spring Festival of 2025 and play … Read more
1. Title: KIMI K1.5: SCALING REINFORCEMENT LEARNING WITH LLMS Link: https://github.com/MoonshotAI/kimi-k1.5 2. Authors and Key Points: 1- Authors The paper was published by: Kimi Team of the Dark Side of the Moon 2- Key Points 1. Core Content • Background and Motivation: • Traditional language model pre-training methods (based on next-word prediction) perform well in … Read more
Thank you for reading. I am Jiang Feng, focusing on AI tools, intelligent agents, and AI programming. Follow our public account to receive a big gift package, including AI/Python/eBooks materials. There are benefits at the end of the article. The domestic large model Deepseek has successfully attracted the attention of AI tech leaders worldwide. Recently, … Read more
Yesterday, everyone was shouting about the New Year! Kimi has released a rare technical report, let’s take a look at the technical details. The technical report is here: https://github.com/MoonshotAI/Kimi-k1.5 First, as always, Kimi emphasizes long context. So the question arises: if we provide the model with a longer ‘thinking space’, can it naturally learn to … Read more
Technical Overview From LLaMA1 to LLaMA3.3 CloseMoreName clearedScan to Appreciate the Author on WeChatLike the AuthorOther AmountArticlesNo articlesLike the AuthorOther Amount¥Minimum Appreciation ¥0OKBackOther AmountMoreAppreciation Amount¥Minimum Appreciation ¥01234567890. , January 14, 2025 01:00 , ,
Llama 3.2 Reasoning WebGPU: A compact and powerful reasoning language model that runs in the browser, akin to putting an intelligent brain into a webpage, enabling quick understanding and reasoning of various issues. References: [1] http://github.com/huggingface/transformers.js-examples/tree/main/llama-3.2-reasoning-webgpu Welcome to support my knowledge platform (NLP Engineering): Dify source code analysis and Q&A, Dify dialogue system source code, … Read more