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Fine Tuning LLM Models – Generative AI Course
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Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning.
✏️ Course developed by @krishnaik06
⌨️ (0:00:00) Introduction
⌨️ (0:01:39) Quantization Intuition
⌨️ (0:34:03) Lora And QLORA Indepth Intuition
⌨️ (0:56:26) Finetuning With LLama2
⌨️ (1:20:35) 1 bit LLM Indepth Intuition
⌨️ (1:37:33) Finetuning with Google Gemma Models
⌨️ (1:59:45) Building LLm Pipelines With No code
⌨️ (2:20:33) Fine tuning With Own Custom Data
🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama
--
✏️ Course developed by @krishnaik06
⌨️ (0:00:00) Introduction
⌨️ (0:01:39) Quantization Intuition
⌨️ (0:34:03) Lora And QLORA Indepth Intuition
⌨️ (0:56:26) Finetuning With LLama2
⌨️ (1:20:35) 1 bit LLM Indepth Intuition
⌨️ (1:37:33) Finetuning with Google Gemma Models
⌨️ (1:59:45) Building LLm Pipelines With No code
⌨️ (2:20:33) Fine tuning With Own Custom Data
🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama
--
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