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www.antler.co
| | www.superannotate.com
3.6 parsecs away

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| | Dive into LLM fine-tuning: its importance, types, methods, and best practices for optimizing language model performance.
| | scorpil.com
2.5 parsecs away

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| | In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s.
| | www.teachfloor.com
1.3 parsecs away

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| | Explore the key differences between generative AI and predictive AI, their real-world applications, and how they can work together to unlock new possibilities in creative tasks and business forecasting.
| | www.chrisritchie.org
10.9 parsecs away

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| [AI summary] A blog post discussing the simulation of artificial life with neural networks, focusing on agent behavior, population dynamics, and future development goals.