📌Big road map from William Brown: how and what to study for development in the field of generative neural networks and AI
Here are tons of useful links for each section, some of these links have already been posted in the channel, for example, links to incredibly useful tutorials from Lilian Weng . Here are the main sections that this roadmap covers: ✔️ time series analysis, Markov models ✔️ recurrent neural networks, LSTM and GRU, ✔️ working with language: tokenization, etc. ✔️ fine tuning methods for LLM ✔️ LLM assessment and benchmarks ✔️ LLM optimization: quantization ✔️ context scaling ✔️ GAN, diffusion models ✔️ multimodal models
📌Big road map from William Brown: how and what to study for development in the field of generative neural networks and AI
Here are tons of useful links for each section, some of these links have already been posted in the channel, for example, links to incredibly useful tutorials from Lilian Weng . Here are the main sections that this roadmap covers: ✔️ time series analysis, Markov models ✔️ recurrent neural networks, LSTM and GRU, ✔️ working with language: tokenization, etc. ✔️ fine tuning methods for LLM ✔️ LLM assessment and benchmarks ✔️ LLM optimization: quantization ✔️ context scaling ✔️ GAN, diffusion models ✔️ multimodal models
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