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Build a Large Language Model (From Scratch): http://
amzn.to/3WYFNO5 by @rasbt v/ @ManningBooks #DataScience #DataScientist #MachineLearning #ML #LLMs #AI #GenAI
LLMS
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Build a Large Language Model from Scratch by Sebastian Raschka
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LLM grounded answers may be corrupted by paid ads
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And so it begins…or ends If this is true, it would completely change how we use LLMs. Not only they will still be able to hallucinate, but now even if they are "grounded" in data, sources, references, we won't be able to know if it came from a paid ad or is the true answer.
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Deep Dive into LLM Calibration: Platt, Isotonic, Temperature Scaling
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A Deep Dive into Calibration of LLM! Platt Scaling, Isotonic Regression, Temperature Scaling! @kdnuggets #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing
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Sadness over lack of hype for Gemini 3.5 Pro release
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https://t.co/R6tRn73u4m pic.twitter.com/T6ik2dXliW
— Bojan Tunguz (@tunguz) 25 juin 2026It's sad that Gemini 3.5 Pro release has 0 hype
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Book on NLP from foundations to agents with RAG pipelines
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“Mastering NLP From Foundations to Agents” by Lior Gazit and Meysam Ghaffari, from @PacktDataML http://
amzn.to/4nJrLw4 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗶𝘀:
Engineer NLP systems from ML foundations to LLM architectures
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Workshop: Create Reliable GenAI Applications with Evaluations, Observability, and Testing
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Workshop hosted by @PacktPublishing @PacktDataML — "Build Reliable GenAI Applications with AI Evals, Observability, and Testing" Register here with my discount code 'KIRK40' (40% OFF already applied):
https://eventbrite.co.uk/e/build-reliable-genai-applications-with-ai-evals-observability-testing-tickets-1987301251540?aff=KirkB&discount=KIRK40 Learn:
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Best use of Codex CLI: learning to run LLMs locally
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Best use of Codex Cli is to ask it to teach you how to get LLMs running locally btw
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Dev tools evolution: Graftcode turns public methods into MCP tools
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this is one of those things that makes you realize how far dev tools have come.
— Charly Wargnier (@DataChaz) 24 juin 2026
❌ before: hours of AI integration glue code
✅ now: expose the methods already living in your codebase@Graftcode turns ordinary public class methods into MCP tools through its gateway.
slick. https://t.co/WPJnHivZ5j pic.twitter.com/3ezRxRZ0Lhthis is one of those things that makes you realize how far dev tools have come. before: hours of AI integration glue code now: expose the methods already living in your codebase @Graftcode turns ordinary public class methods into MCP tools through its gateway. slick.
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Solopreneur unicorn token expenditure far exceeds 100-person company
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If we ever end up with a solopreneur unicorn the token expenditure will be orders of magnitude higher than if it were a 100 person company.
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Anthropic accuses Alibaba of distilling Claude via 25,000 fraudulent accounts
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Anthropic states: Alibaba continues to distill Claude on a large scale to train Qwen. Via Bloomberg. Anthropic accuses operators linked to Alibaba of conducting a vast campaign to illicitly access Claude via nearly 25,000 fraudulent accounts. According to Bloomberg,