CodeChef Starters 153 Solved 4 / 8 👨🍳 All the problems were very simple. A: If X <= 60 then YES else NO B: If Y - X == Z - Y then 0 else 1. C. By using Combinatorics, The equations that satisfy the conditions are: R + G - B > -1 && R + B - G > -1 && G + B - R > -1 then YES else NO D. Initialize max to -1 and calculate max where i != Ai. The answer is max + 1. #codechef
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In order to build and deploy AI Agents in a production environment they need to be robust with excellent error handling capabilities. At ForgeAI we have built a framework to automate system prompts and tool schemas for each AI Agent based on their function/s. I created an agent ShopMate AI and gave it some python functions. Then asked Chat GPT-o1 and ForgeAI to create system prompts and tools schemas. Claude evaluated the results. Verdict: ForgeAI is more production-ready with better documentation, error handling, and implementation guidance. AI Agents Directory 🗣️ . #AIAgents #ForgeAI #ErrorHandling #AutomationFramework #ProductionReady #SystemPrompts #ToolSchemas #AIDevelopment #TechInnovation
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Day 13/51 Done ✅ Platform : LeetCode Problem ID : 1470 Language : C++ Given the array nums consisting of 2n elements in the form [x1,x2,...,xn,y1,y2,...,yn]. Return the array in the form [x1,y1,x2,y2,...,xn,yn]. CONCEPTS USED : ✨ Loops ✨ Vectors ✨ DSA #DrGViswanathan #VITBhopal #VITBhopalLion #CodingJourney #AI #LeetCode #DSA #CPP #C++
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Discover how to build powerful #AIAgents using #LlamaIndex, a robust framework for creating context-augmented applications with #LargeLanguageModels (LLMs). LlamaIndex enhances #LLMs with your private data, enabling features like: - Document understanding and extraction - Autonomous research agents - Automated customer support - Intelligent virtual assistants Our hands-on guide walks you through key components like tools, retrievers, routers, and memory modules. LlamaIndex simplifies development from prototype to production with capabilities in data ingestion, processing, and complex query workflows, all available in Python and TypeScript. Check out our blog for detailed insights and start building smarter AI agents today! #LLM #TechInnovation #AIDevelopment #KaamshaTech
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I have a question for those who use an IDE with bring-your-own LLM API key for the code assistence. How much does it cost per month on average? 🤔 I'm specifically looking at Claude 3.5 Sonnet for now. Just wondering if a service like an open-source tool like Continue.dev with your own LLM is much cheaper than something like Cursor IDE, it might be worth for me to consider that option. Though I don't think $200/yr for Cursor isn't so bad given the value it provides. #coding #data #ai
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On this week in Practical AI for Partners we answer the question: Do you know who the 20% partners are that are producing 80% of your ARR? We share how we use ChatGPT and Python to clean up, summarize and analyze partner data to help find: focus, identify key performers, and uncover hidden opportunities. Discover how AI-driven analytics can transform your partnership strategy and drive growth. We can help you unlock the full potential of your partner ecosystem!
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BigCode is an open-source initiative dedicated to developing large language models for code in a responsible and ethical way. 👨💻🌎 By leveraging the power of machine learning, BigCode aims to improve code generation, code analysis, and more. Join the movement and help shape the future of code development! The links are as always a side-quest you'll have to find in the comments! ┈┈┈┈┈┈┈┈✁┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈┈ 👋 Moin, I'm Jesper! I share non-hype AI like this every day to help you build better real-world ML applications! 𝗙𝗼𝗹𝗹𝗼𝘄 Jesper Dramsch to stay in the loop! Join 3,000 others here: https://lnkd.in/gW_-ym7A #MachineLearning #DeepLearning #Ai #Data #Software #ArtificialIntelligence #LateToTheParty
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Fun! I was reading some code in a random forum and noticed a variable that seemed to be hanging out with nothing to do. I thought I must be missing something! I reviewed the code again... Nothing stood out. 🤸♂️ Next stop, AI: I asked ChatGPT to explain what the code did... The output helped me verify that my understanding of the code was correct... but GPT's line-by-line explanation literally left out the *one* variable I was curious about... `image_down = []` Poor image_down list has nothing to list :( I couldn't leave the poor, hungry variable abandoned like this! Alright GPT, I know how to make you talk: "What does `image_down` variable do?" [See image] AHA! Suspicions confirmed. I've written a ticket to the offending party and we've put image_down in a no-delete placement program for lost variables. __________ Why are you still reading? So cool to experience the rapid improvements in genAI performance. I'm still most excited about AI-driven NPCs in video games !!! What a fun Skyrim mod that'll be. And building my own Jarvis and then building my AI-twinsy. What are you most excited about in terms of AI and/or upcoming tech? Thanks for attending my TimTalk o/ #python #genAI #debugging
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Code Debugging Struggle is Real! What are your best tips and tricks for conquering debugging challenges? Share in the comments below! Credit: HackerRank __ 👋 Join The AI Journal community! 🚀Subscribe to the newsletter: https://lnkd.in/ex9mu2hM 🔥 Get daily AI updates on WhatsApp: https://lnkd.in/eav_GZ-J 🎤 Get involved in the AI conversations on X: https://lnkd.in/ew6E-ZtP #ProgrammersLife #DebuggingHumor #CodingStruggles #KernighanWisdom #BuildingSoftware
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DeepSeek-Coder-V2, a new open-source code language model, seems interesting for software developers. It performs better in coding and mathematics benchmarks than leading proprietary models such as GPT4-Turbo. The DeepSeek-Coder-V2 model operates under a Mixture of Experts (MoE) framework and is available in two configurations: 16 billion and 236 billion parameters. It has been trained with a vast multi-source dataset comprising 6 trillion additional tokens, enhancing its ability to process complex coding and mathematical problems. #AI #SoftwareDevelopment Read more at: https://lnkd.in/dvDQe5Zs
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Day 1 of my Rust project journey has begun! 🚀 AI took charge and generated all the code in main.rs, distinguishing objects and classes after promotion. However, the class files (.rs) needed a manual touch as AI couldn't create them automatically. Encountered a hiccup when AI failed to resolve the build issue using error codes. With a tweak here and there, the build was successful – thanks to a collaboration between AI and my C++ expertise. Excited to dive into a new language and embrace the learning curve! #AIProgramming
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