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  • All (21139) +104
  • AI (3166) +7
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  • Software (11165) +82
  • IT (5820) +10
  • Education (48)
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  • All (21139) +104
    • AI (3166) +7
    • DevOps (939) +4
    • Software (11165) +82
    • IT (5820) +10
    • Education (48)
  • Notice
  • All (21139) +104
  • AI (3166) +7
  • DevOps (939) +4
  • Software (11165) +82
  • IT (5820) +10
  • Education (48)
  • Notice
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  • 1 month ago · ai

    My journey in the AI agents intensive program...✨

    Overview Participating in the Kaggle AI Agents Intensive was a completely new and exciting experience for me. When I joined, I wasn’t fully confident about how...

    #AI agents #Kaggle #prompt engineering #agent workflows #machine learning #hands‑on learning #capstone project
  • 1 month ago · ai

    Demystifying Retrieval-Augmented Generation (RAG)

    Large Language Models LLMs have revolutionized the way we interact with information, but they have a fundamental limitation: their knowledge is frozen at the ti...

    #retrieval-augmented generation #RAG #large language models #LLM #knowledge retrieval #prompt engineering #AI
  • 1 month ago · ai

    Prompt Length vs. Context Window: The Real Limits Behind LLM Performance

    Prompt Length vs. Context Window: Why Size Still Matters Large language models have evolved insanely fast in the last two years. GPT‑5.1, Gemini 3.1 Ultra, Cla...

    #LLM #context window #prompt engineering #token limits #model memory #GPT-5.1 #Gemini 3.1 Ultra #Claude 3.7 Opus #hallucination
  • 1 month ago · ai

    Return Facts, Not Interpretations: Why LLM Tools Should Be Dumber Than You Think

    TL;DR: I tried to make my MCP Servers DOM‑exploration tool helpful by adding semantic interpretations to its output. The tool became brittle, task‑specific, and...

    #LLM #tool design #semantic interpretation #raw data output #AI tooling #prompt engineering #composability
  • 1 month ago · ai

    I Built a TUI to Visualize RAG Chunking because chunk_size=1000 is a Lie 📉

    Let’s be honest for a second. When you are building a RAG Retrieval-Augmented Generation pipeline, how do you pick your chunk_size and overlap? If you are like...

    #RAG #chunking #LLM #retrieval-augmented generation #text user interface #visualization #prompt engineering
  • 1 month ago · ai

    Arrêtez de demander au LLM si c'est bien. Demandez-lui ce qui cloche.

    Introduction : La boucle de l'enfer Il y a quelques mois, pour un talk technique, j'ai demandé à Claude une revue : 'Qu'en penses-tu ?' - V1 : 'Excellent ! Sol...

    #LLM #sycophancy #model bias #prompt engineering #Claude #AI critique
  • 1 month ago · ai

    How to use System prompts as Ground Truth for Evaluation

    The Problem: Lack of Clear Ground Truth Most teams struggle to evaluate their AI agents because they don’t have a well‑defined ground truth. Typical workflow:...

    #system prompts #ground truth #AI evaluation #prompt engineering #LLM evaluation #evaluation metrics
  • 1 month ago · ai

    Launch HN: Mentat (YC S16) – Controlling LLMs with Runtime Intervention

    Hi HN, I’m Cyril from CTGT. Today we’re launching Mentat https://api.ctgt.ai/v1/chat/completions, an API that gives developers deterministic control over LLM be...

    #LLM #runtime intervention #deterministic control #bias mitigation #API #prompt engineering #Mentat #YC S16
  • 1 month ago · ai

    Best AI Background Generator for 2025: Create Custom Backgrounds Instantly

    Introduction The demand for an advanced AI Background Generator has grown quickly as creators, brands, and e‑commerce sellers look for faster ways to design vi...

    #AI background generator #generative AI #image generation #prompt engineering #design automation #e‑commerce visuals
  • 1 month ago · ai

    A beginner's guide to the Ideogram-V3-Turbo model by Ideogram-Ai on Replicate

    !Cover image for A beginner's guide to the Ideogram-V3-Turbo model by Ideogram-Ai on Replicatehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cove...

    #Ideogram-V3-Turbo #Ideogram-AI #Replicate #text-to-image model #AI model guide #prompt engineering
  • 1 month ago · ai

    My 5-Day Journey into AI Agents 🚀

    Introduction I joined the 5-Day AI Agents Intensive Course with Google and Kagglehttps://www.kaggle.com/learn-guide/5-day-agents to understand how modern AI ag...

    #AI agents #multi‑agent systems #Google #Kaggle #prompt engineering #machine learning #AI tools #learning journey
  • 1 month ago · ai

    Binary weighted evaluations...how to

    1. What is a binary weighted evaluation? At a high level: - Define a set of binary criteria for a task. Each criterion is a question that can be answered with...

    #LLM evaluation #binary weighted evaluation #agent testing #AI metrics #prompt engineering

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