Going through the building of a QLoRA fine tuning dataset for a language model. NVIDIA GTC signup: https: nvda.ws XTqlB Fine tuning code: https: github.com Sentdex LLM Finetuning step Walls bot adapter: https: huggingface.co Sentdex Walls bot Llama B . . WSB Dataset...

   Visualizing some of the internals of a neural network during training and inference. Starting and full code: https: github.com Sentdex neural net internals visualized Neural Networks from Scratch book: https: nnfs.io Channel membership: https: www.youtube.com channel UCfzlCWGWYyIQ aLC w gBQ...

   Establishing an internet connection in an internet desert, then figuring out well, starting to networking. Combined with Starlink as my internet provider, I ended up going with a wifi bridge implementation with a couple of Ubiquiti nanostation AC locos to network between buildings at ...

   Exploring the Together Inference API https: www.together.ai Together API basics jupyter notebook examples: https: github.com Sentdex Together API Basics Neural Networks from Scratch book: https: nnfs.io Channel membership: https: www.youtube.com channel UCfzlCWGWYyIQ aLC w gBQ join...

   Testing and enjoying the Comino Grando Server machine with x RTX s from Comino https: www.comino.com Neural Networks from Scratch book: https: nnfs.io Channel membership: https: www.youtube.com channel UCfzlCWGWYyIQ aLC w gBQ join Discord: https: discord.gg sentdex Reddit: https: www...

   An overview and some quick examples of using CuDF’s Pandas accelerator and how much faster it can be than vanilla Pandas for data analysis. Colab demo of Rapids: https: nvda.ws LWggQj AI and Data Science Virtual Summit: https: nvda.ws ZR wjL Notebook in this video: https: gist.github.com...

   Learning and sharing my process with QLoRA quantized low rank adapters fine tuning. In this case, I use a custom made reddit dataset, but you can use anything you want. I referenced a LOT of stuff in this video, I will do my best to link everything, but let me know if I forget anything. ...

   A tutorial of sorts covering how to create streaming chat interfaces using Gradio for the various chat instruct large language models from HuggingFace. Sample code: https: huggingface.co spaces Sentdex StableBeluga B Chat blob main app.py Neural Networks from Scratch book: https: nnfs.io...

   Github code: https: github.com Sentdex Simple kNN Gzip Neural Networks from Scratch book: https: nnfs.io Channel membership: https: www.youtube.com channel UCfzlCWGWYyIQ aLC w gBQ join Discord: https: discord.gg sentdex Reddit: https: www.reddit.com r sentdex Support the content: https...

   Addressing the current state of attention for artificial intelligence and why it’s currently holding back maximum context lengths. Neural Networks from Scratch book: https: nnfs.io Channel membership: https: www.youtube.com channel UCfzlCWGWYyIQ aLC w gBQ join Discord: https: discord.gg...

   TII Call for Proposals with Falcon B: https: falconllm.tii.ae proposal.php Falcon Github samples: https: github.com Sentdex Falcon LLM TermGPT: https: www.youtube.com watch v O EmRi CI GPT Overview: https: www.youtube.com watch v lJNblY Madg Neural Networks from Scratch book: https...

   Function calling is a new capability for OpenAI’s GPT and GPT . via the API. Function calling allows you to extract structured outputs from the GPT model. Github notebook: https: github.com Sentdex ChatGPT API Basics blob main function calling.ipynb Neural Networks from Scratch book: https...

   Giving LLMs like GPT the ability to plan and execute terminal commands. TermGPT github: https: github.com Sentdex TermGPT OpenAI Chat API tutorial: https: github.com Sentdex ChatGPT API Basics Neural Networks from Scratch book: https: nnfs.io Channel membership: https: www.youtube.com...

   Working with one of the Open Assistant models, a B parameter Pythia model https: huggingface.co OpenAssistant oasst sft pythia b epoch . Github: https: github.com Sentdex OpenAssistant API Pythia B Neural Networks from Scratch book: https: nnfs.io Channel membership: https: www...

   An in depth look into the current state of the art of Generative Pre trained Transformer GPT language models, with a specific focus on the advancements and examples provided by OpenAI in their GPT Technical Report https: arxiv.org abs . as well as the Microsoft quot;Sparks of...