The moat is in packaging + deployment – this is where OAI by far exceeds by miles, with Anthropic coming second. Loads of work to do to get there for open source, 2025 will be critical!
GENERATIVE AI
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Best Books About Artificial Intelligence and Data Science
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Best Books About Artificial Intelligence! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
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Free Machine Learning Courses: Big Data, AI, and Python
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Free #MachineLearning Courses! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Free-M-LCourses -
Chapter 3 Technical Complexity and Multi-Head Attention Implementation
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It say Ch 3 might be the most technical one (like building the engine of a car) but it gets easier from here! You were wondering about some of the design choices. The implementation follows the original, popular, and widely used multi-head attention one (so we can also load
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Six Critical IT Team Mistakes To Avoid 2025
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6 Mistakes IT Teams Are Guaranteed To Make In 2025 As organizations barrel towards an #AIpowered #future, many #ITteams are making catastrophic #mistakes that could derail their #digitaltransformation efforts. From mishandling generative #AI to ignoring #regulatory
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Improving LLM Reasoning: Test-Time Compute Scaling Over Parameters
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And since o1 and the upcoming o3 are such important topics these days, I wanted to share a few good intros into improving the reasoning capabilities of LLMs I read earlier this year: 1. "Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters"
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Google Gemini Deep Research Revolutionizes Project Research Efficiency
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Google @GeminiApp Deep Research is an absolute cheat code. Doing research projects in minutes that would have taken me days / weeks.
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Understanding Mixture of Experts Architecture and FFN Weights
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Based on how MoEs work, I believe this is possible. Each expert is like a FFN with it's own weights.
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Qwen 2.5 0.5B: The Sweet Spot for Efficient Language Models
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Qwen 2.5 0.5B is the sweet spot, but you do you
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Try All State-of-the-Art LLMs Free for One Month
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Try all SOTA LLMs in one place – DeepSeekV3
– o1/GPT-4o
– Sonnet 3.5
– Gemini Flash 2.0 FREE for a month: