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kaelzhang @kaelzhang827

Joined December 2015
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DataChaz Profile Picture

Charly Wargnier @DataChaz

2 weeks ago

Tons of AI guides have dropped lately. Most repeat the same ideas, but a few are genuinely worth your time. Here are 8 must-read guides from Google, Anthropic, OpenAI, and Kaggle 🧵 ↓

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InfoQ @InfoQ

3 weeks ago

In the agentic AI era, well-crafted CLIs matter more than ever - serving both humans and autonomous agents with precision. ✅ Treat CLI output formats as stable API contracts ✅ Adopt MCP protocol for agent integration from day one 🔗 bit.ly/4fLxptU #InfoQ #APIdesign

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Vision Transformers @vitransformer

3 weeks ago

New blog post by @AmanGokrani: Everyone says Claude Code "just works" like magic. He proxied its API calls to see what's happening. The secret? It's riddled with <system-reminder> tags that never let it forget what it's doing. (1/6) [🔗 link in final post with system prompt]

kaelzhang retweeted
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elvis @omarsar0

3 weeks ago

Chain-of-Agents Interesting idea to train a single model with the capabilities of a multi-agent system. 84.6% reduction in inference cost! Distillation and Agentic RL are no joke! Here are my notes:

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AI Dance @AI_Whisper_X

3 weeks ago

分享一下AutoGLM负责人刘潇的Agent的一些思考： 1、AGI的上限和下限 AGI是一个范围。谁能先摸到下限，谁可能就会最早看到AGI的曙光。 他觉得AGI的下限是，有个AI agent能独立工作一整天，完成24小时的任务，像工作中的同事 2、和Manus等有什么不同？…

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Dynamics Lab @DynamicsLab_AI

2 weeks ago

Introducing Mirage 2 — a real-time, general-domain generative world engine you can play online Upload any image—photos, concept art, classic paintings, kids' drawings—and step into it as a live, interactive world. Prompt your worlds with text to create any surreal scenes and…

kaelzhang retweeted
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OpenAI Developers @OpenAIDevs

2 weeks ago

Two big updates to the Responses API today. 🖇️ Connectors — Pull context from Gmail, Google Calendar, Dropbox, and more in a single API call. 💬 Conversations — Persist chat threads for your users, without running your own database. More below:

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Aadit Sheth @aaditsh

3 weeks ago

Google literally published a 69-page prompt engineering masterclass

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elvis @omarsar0

3 weeks ago

M3-Agent: A Multimodal Agent with Long-Term Memory Impressive application of multimodal agents. Lots of great insights throughout the paper. Here are my notes with key insights:

kaelzhang retweeted
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Connor Davis @connordavis_ai

3 weeks ago

You don’t need GPT-5 or Claude 5... You need better prompts. MIT just confirmed what AI experts already knew: Prompting drives 50% of performance. Here’s how to level up without touching the model:

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Jason Zhou @jasonzhou1993

2 months ago

After testing @Kimi_Moonshot K2 for a few hours, My overall take: - Performance between Claude 3.5 & Claude 4 (Just my vibe eval!) - The UI generation seems great - But the cost is only 20% of Claude 3.5 - So good enough for most coding agent with a lot more manageable cost…

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Swapna Kumar Panda @swapnakpanda

2 months ago

Best skills to build in 2025: AI & ML Here's a complete roadmap & all free resources:

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Shen Huang @ShenHuang_

2 months ago

RAG已死，请停止给LLM打“短期记忆补丁”！ 讲个内幕：现在市面上绝大多数所谓LLM“长期记忆”方案，包括RAG，本质都是临时工。 它们解决了“知识获取”问题，但没解决“记忆管理”的根本难题，导致AI依然健忘、无法个性化，数据被困在各个应用里形成“记忆孤岛” 。…

kaelzhang retweeted
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TuringPost @TheTuringPost

2 months ago

Our 20-part guide on AI Agents and Agentic workflows: 1. Open-endedness and AI Agents 2. Your go-to Agents vocabulary 3. Illustrating Agentic vocabulary: Real and potential examples 4. From Butler to J.A.R.V.I.S to Butler again? 5. Building blocks of Agentic Systems ⬇️ 6.…

kaelzhang retweeted
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Jerry Liu @jerryjliu0

2 months ago

Introducing NotebookLlama - an open-source version of NotebookLM! 📓🦙 NotebookLlama is a full implementation of NotebookLM that includes all the capabilities that makes it so great for researchers+business users: ✅ Create a knowledge repository of documents. Has likely higher…

llama_index Profile Picture

LlamaIndex 🦙 @llama_index

2 months ago

Introducing NotebookLlama - an open-source version of NotebookLM! 📓🦙 NotebookLlama is a full implementation of NotebookLM that includes all the capabilities that makes it so great for researchers+business users: ✅ Create a knowledge repository of documents. Has likely higher… https://t.co/Vw3WpnpHjn

kaelzhang retweeted
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LangChain @LangChainAI

2 months ago

🤖📚 Context Engineering Guide A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management, optimizing AI performance. Learn more at medium.com/ai-artistry/co…

kaelzhang retweeted
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TuringPost @TheTuringPost

2 months ago

9 techniques you should know to master AI: - RAG (like Multimodal and Agentic RAG) - Knowledge distillation - Prompt optimization - GRPO - Mixture-of-Experts (MoE) - Chains-of-... : Chain-of-Agents and Chain-of-RAG - Methods reducing memory use, e.g. LightThinker, MLA - Advanced…

kaelzhang retweeted
Aurimas_Gr Profile Picture

Aurimas Griciūnas @Aurimas_Gr

2 months ago

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆 explained in a simple way 👇 In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and react given past interactions or data not immediately available. It is…

kaelzhang retweeted
jerryjliu0 Profile Picture

Jerry Liu @jerryjliu0

2 months ago

Practical Techniques for Context Engineering 💡 This is a fantastic blog post from @tuanacelik and @LoganMarkewich on a comprehensive breakdown of the types of context an LLM can interact with, and the core dimensions you have to consider: 1️⃣ Knowledge Base or tool selection -…

llama_index Profile Picture

LlamaIndex 🦙 @llama_index

2 months ago

Practical Techniques for Context Engineering 💡 This is a fantastic blog post from @tuanacelik and @LoganMarkewich on a comprehensive breakdown of the types of context an LLM can interact with, and the core dimensions you have to consider: 1️⃣ Knowledge Base or tool selection -… https://t.co/r6XEtsJpio

kaelzhang retweeted
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elvis @omarsar0

2 months ago

Overview Offers one of the most comprehensive reviews to date on the emerging field of LLM-based agent communication, with a focus on security vulnerabilities and corresponding defenses.

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