RAG with LLM: Creating an AI-Powered File Reader! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
LLMS
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The Tradeoff Between Traditional Coding and AI-Generated Code
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Stack Overflow gave you an answer you could read and understand. AI gives you code you can run without understanding it. Different tradeoff.
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Limitations of LLM-based content filtering
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A filter that works only when the model reads the title is not really a filter.
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Using Thread Automations for Persistent AI Agent Context
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thread automations are slept on they let Codex wake up inside the same thread on a schedule so instead of restarting context every time, it can keep checking, reviewing, polling, or continuing exactly where it left off tiny feature. very useful.
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Comparing AI coding model performance in practical tasks
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Two days of failure on a $200 plan followed by a one-shot Codex solution on a $100 plan is a brutal side by side.
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Discussion on AI Model Autonomy and Reliability Issues
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The autonomy issues with 4.7 probably have something to do with this. Hard to trust a model that goes off script.
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Impact of hallucination reduction on AI use case viability
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Hallucinaton reduction at that scale would change which use cases are actually viable, not just which ones work most of the time.
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Claude’s unique problem-solving capabilities
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The fact you're always learning something new from it suggests Claude is consistently approaching problems differently than you would have.
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Codex auto-review loop to fix errors continuously
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All I want is codex automatically entering /review mode after it's done and just looping until it stops finding booboos. (Yah I'm gonna build that)
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DeepMind paper provides evidence for LLM training data regurgitation
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Am old enough to remember when @GeoffreyHinton told me I was stupid for saying that LLMs regurgitate training data. He was wrong. LLM regurgitation is now one of the best-established findings in the field. Excerpt below from a new DeepMind paper; every single one of the