Most agent systems start with retrieval. LCLMs start with compression. Compress everything once. Reason globally. Expand locally when needed. That's a very different way to think about agent memory.
AI
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Wondering if first to send defunct MSN Messenger emoticon to Claude
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i wonder if I'm the first person to send the defunct ^o) emoticon from msn messenger to claude
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Projected cost of next Fable questions need for data centers
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If we project this out, and the next Fable costs nearly 2x Claude Fable 5 per token, very few people will use it. Which leads me to wonder once again whether we will really need all these data centers.
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The only exponential increase in Mythos models was cost
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So the only real exponential increase with “Mythos class models” was … in … cost. No wonder Anthropic was terrified.
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Skepticism over fuss about 6-point benchmark difference
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obviously different benchmarks will yield different results and maybe saturation is an issue and maybe this and maybe that …. but … all this fuss over … 6 points?
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Fast KV Compaction reduces LLM memory by 50x without loss
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What if you could reduce the memory of a language model by 50x in seconds without losing performance? Researchers from MIT present Fast KV Compaction via Attention Matching. They build compact key-value caches in the latent space that preserve
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GeoAI and Machine Learning Predict Traffic Carmageddon
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GeoAI! #MachineLearning Help Predict Traffic Carmageddon! by @rachelevagordon. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #GeoSpatial #Linux
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Great Learning! History of Machine Learning
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Great Learning! History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML -
RAG with LLM: Creating an AI-Powered File Reader
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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
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Building AI Shopping Agent using Amazon Bedrock and OpenSearch
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Building AI Shopping Agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless