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
MACHINE LEARNING
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Great Learning: History of Machine Learning Overview
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Technical Discussion on LLM Reasoning and Architectural Iteration
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literally i didn’t say that. adding “reasoning” already borrows tools like iteration and evaluation from classical AI and isn’t a pure LLM. and the reasoning has all kinds of problem. and i didn’t say “just”; i was careful to say “basically”, suggesting an approximation.
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Debating LLM scaling versus symbolic integration for AI progress
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this is a such a muddle. (at least relative to my views) LLMs are more or less just autcomplete, but (as I have always said) they have their uses. And the real progress now is coming from adding new (symbolic) techniques to the mix, not from pure scaling.
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Critique of pure LLM architecture and the role of symbolic integration
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I love AI, it’s pure LLMs I hate. Pure LLMs *are* basically just autocomplete. Recent progress (e.g. Claude Code) doesn’t show otherwise Rather, lot of the progress in the last two years has come from *introducing* other things – mainly classic symbolic techniques and tools,
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50 Machine Learning Projects for Understanding LLMs and Transformers
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: https://
amzn.to/3P8ztDt via @PacktPublishing @PacktDataML —————
#AI #GenAI #MachineLearning #DataScientist #DataScience -
Technical challenges in deploying H100 clusters for AI development
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I was recording my nanochat video when I realized that “first boot up an 8XH100 from your favorite provider!” would instantly get everyone stuck on step 1 of the video
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QuantClaw: Dynamic Precision for Cost-Aware AI Agents
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What if your AI agent could decide how much brainpower to use for each task, saving you money and time? Researchers from Huawei, National University of Singapore, and USTC present QuantClaw, a plug-and-play plugin that dynamically assigns low precision for simple jobs and high
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Financial Machine Learning Resource and Interactive AI Analysis Tool
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Financial Machine Learning (159-page PDF) Download here: https://
papers.ssrn.com/sol3/papers.cf
m?abstract_id=4501707
… Chat with the document and ask it any questions here: https://
chat.pageindex.ai/share/doc/cmju
5km290000ju04ahzs9s2w
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New technical guide on RAG-driven Generative AI and graph-based retrieval
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New Release (2nd edition) from @PacktDataML available at https://
amzn.to/4tULP1b RAG-Driven Generative AI — Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀:
Master DualRAG by combining vector search with SQL -
Context Engineering for Multi-Agent Systems Architecture
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"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at https://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and