Explore >> Select a destination
|
You are here 
|
amatria.in | ||
| | | | |
scorpil.com
|
|
| | | | | 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. | |
| | | | |
haifengl.wordpress.com
|
|
| | | | | Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree... | |
| | | | |
www.turing.com
|
|
| | | | | GPT 3 vs GPT 4: What are the major updates? Most importantly: Will generative AI replace developers? What impact will AI have on software development? | |
| | | | |
www.puppet.com
|
|
| | | Simplify and accelerate the delivery cycle with software deployment automation across development, testing, and production environments. | ||
