The most frequent objection in the comment section is this line: "HTML eats up so many tokens— is Anthropic indirectly fleecing us?" I've flipped this thought over in my mind, and maybe we can look at it this way. First, HTML does eat tokens—that's a fact—but if Anthropic
LLMS
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Rediscovering Karpathy’s wikiLLM with Obsidian and Claude as a second brain
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I'd somehow completely forgotten that Karpathy introduced the wikiLLM a while back (obsidian + Claude code/codex). I'm sick in bed and set it up because I have nothing else to do. I love it. I have a second brain now. Amazing.
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Distinguishing Orchestrator and Harness in AI Task Completion
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unclear the diff between orchestrator and harness since they both have TASK_DONE
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ZeRO-Infinity: Breaking the GPU Memory Wall for Deep Learning
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ZeRO-Infinity: Breaking the GPU Memory Wall
for Extreme Scale Deep Learning! MichiGAN Hyperscale GPU Data Complete Nvidia cluster installation! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS -
Building Agentic Systems with CrewAI and Amazon Bedrock
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Build Agentic System with CrewAI and Amazon Bedrock! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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DeepMind Develops AI Capable of Competitive Human-Level Coding
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DeepMind Has Made Writing #AI That Rivals Human Coders! #BigData #Analytics #DataScience #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/DeepMinder-Cod
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Building Next-Gen GenAI Apps with RAG, LangChain, and LlamaIndex
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Mastering RAG-Generation: Building Next-Gen GenAI Apps with LangChain, LlamaIndex, and LLMs! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist
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New Book on AI Systems Performance Engineering and GPU Optimization
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HOT! Over 1000 pages! "AI Systems Performance Engineering — Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
amzn.to/4pRunYJ via @OReillyMedia -
Educational Guide to Designing and Implementing AI Agents
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
The future of OS: Local LLMs and native AI integration
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L'étape suivante en matière d'IA c'est ça et j'espère que @Apple ou @Microsoft vont sortir leur prochain système d'exploitation avec une véritable IA embarquée native avec LLMs entraînables localement pour que chacun puisse en profiter. Sinon on vous expliquera comment faire