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.
DATA
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Deep Learning, Biological Hierarchies for Coral Reef Fish Identification
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Integrating Deep Learning, Biological Hierarchies, to Create a New Identification Tool for Coral Reef Fishes! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux
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Machine Learning Approach to Galaxy Property for Redshift Mass Distribution
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A #MachineLearning Approach to Galaxy Property for Redshift Mass Distribution. #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/ML-Appr-Galaxy
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Data Cleaning and Exploration with Machine Learning book and GitHub code repository
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Data Cleaning and Exploration with Machine Learning: https://
amzn.to/3SYyj9Z v/ @PacktDataML @PacktPublishing +
Visit the book's GitHub code repository: https://
github.com/PacktPublishin
g/Data-Cleaning-and-Exploration-with-Machine-Learning
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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
Implement RAG pipelines, routing layers, and agent workflows -
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:
How production AI -
NVIDIA full-stack AI: causal analyses and agentic workflows
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NVIDIA's full-stack AI is enabling autonomous operations for the world's leading brands and platforms.
— NVIDIA (@nvidia) 24 juin 2026
Key capabilities driving this shift:
📈 Causal marketing analytics at enterprise scale
🤖 Secure, trustworthy agentic workflows
⚡Real-time, hyper-efficient auction bidding
🎬… pic.twitter.com/26AbPMHS2eNVIDIA's full-stack AI enables autonomous operations for major global brands and platforms. Key capabilities driving this change: Enterprise-scale causal marketing analyses; Secure and reliable agentic workflows.
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NVIDIA Metropolis VSS 3: Video Search and Summarization with 16 New Skills
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NVIDIA Metropolis Blueprint for video search and summarization (VSS) 3 is here.
— NVIDIA AI (@NVIDIAAI) 24 juin 2026
Now your coding agent can analyze massive live streams and libraries of videos with a simple natural language prompt. Here's what's new:
– 16 new agent skills: Search, summarize, alert, report,… pic.twitter.com/UojjUu8orkNVIDIA Metropolis Blueprint for video search and summarization (VSS) 3 is here. Now your coding agent can analyze massive live streams and libraries of videos with a simple natural language prompt. Here's what's new: – 16 new agent skills: Search, summarize, alert, report,
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My AI agent reads 30,000 posts daily and picks best
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That's cool. I did the same to build: https://
alignednews.com/ai (my agent reads 30,000 posts a day and picks the best). I can't wait to see where you take this. I need to do more like this. -
Linear Algebra and Optimization for Machine Learning Textbook
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Linear Algebra and Optimization for Machine Learning [516-page textbook]: https://
amzn.to/39aWf8N
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#DataScience #DataScientist #ML #Mathematics #ORMS