nirdiamant

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by nirdiamant 1y ago
I’ve just launched a new GitHub repo in my Gen AI educational initiative. It packs 25 hands-on tutorials that walk you through every core component of an agent pipeline. The tutorials are grouped into: 1. Orchestration 2. Tool integration 3
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by nirdiamant 1y ago
, “,” . Everyone either uses it, wants to use it, or hasn’t heard of it (probably due to hearing problems). This is a powerful tool that doesn’t always behave as we expect or want. ’ . In this blog post, I give mo
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by nirdiamant 2y ago
I've just published a comprehensive prompt engineering guide (170 pages) based on my GitHub repo with 3K+ stars. It covers 22 techniques with detailed explanations, exercises, and practical examples arranged in progressive difficulty.
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by nirdiamant 2y ago
If you're new to GenAI or haven't built your first AI agent yet, this guide is for you! I expanded a simple LangGraph agent tutorial from my GenAI Agents repo into an easy-to-follow blog post. It covers: - What agents are and why
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by nirdiamant 2y ago
Last week, an innovative startup from China, DeepSeek, captured the AI community's attention by releasing a groundbreaking paper and model known as R1. This model marks a significant leap forward in the field of machine reasoning. The
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A novel open-source framework for evaluating conversational agents(github.com)
3 points by nirdiamant 2y ago|1 comments
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by nirdiamant 2y ago
this one is really a game changer: This is how it works - the framework is organized into these powerful components: 1) Policy Graph Builder - automatically maps your agent's rules 2) Scenario Generator - creates test cases from the po
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by nirdiamant 2y ago
After explaining how Large Language Models work (like GPT), in this blog post I explain how ChatGPT works. the content covered: - Learn how ChatGPT mastered the subtle dynamics of dialogue, from guiding frustrated users to explaining compl
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by nirdiamant 2y ago
Whether you're a beginner or looking for advanced topics, you'll find everything RAG-related in this repository. The content is organized in the following categories: 1. Foundational RAG Techniques 2. Query Enhancement 3.
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by nirdiamant 2y ago
TL;DR Creating memes that align with your brand and resonate with your audience can be tough, but an AI-powered tool developed during a LangChain hackathon is changing the game. This system: Analyzes your brand’s tone, audience, and messagi
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by nirdiamant 2y ago
Ever wondered how AI can actually “understand” language? The answer lies in embeddings—a powerful technique that maps words into a multidimensional space. This allows AI to differentiate between “The light is bright” and “She has a bright f
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by nirdiamant 2y ago
I’ve just released a brand-new GitHub repo as part of my Gen AI educative initiative. You'll find anything prompt-engineering-related in this repository. From simple explanations to the more advanced topics. The content is organized in
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Online AI Agents hackathon with LangChainAI and LlamaIndex as main sponsors(tensorops.ai)
1 points by nirdiamant 2y ago|0 comments
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Extensive Open-Source Collection of AI Agent Implementations and Many Use Cases(github.com)
1 points by nirdiamant 2y ago|1 comments
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by nirdiamant 2y ago
In addition to the RAG Techniques repo (6K stars in a month), I'm excited to share a new repo I've been working on for a while—AI Agents! It’s open-source and includes 14 different implementations of AI Agents, along with tutorial
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by nirdiamant 2y ago
As part of an educational initiative, the repository currently contains 26 well-explained RAG tutorials, covering a variety of techniques with frequent updates. It’s open-source, and we have a rapidly growing Discord community that you&#x27
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by nirdiamant 2y ago
thanks :)
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Show HN: An extensive set of RAG implementations+many different strategies(github.com)
6 points by nirdiamant 2y ago|2 comments