Are you eager to delve into the fascinating realm of #large #language #models (#llms)?
ππ©βπ» Embark on this thrilling adventure with our comprehensive #llm #course, featuring detailed roadmaps and engaging interactive Colab notebooks. π£οΈπ₯οΈ
π Course Outline(https://lnkd.in/dgc-Hgm3):
This #llm #course is built on three foundational aspects:
π LLM Basics: Gain a solid understanding of mathematics, Python, and neural networks.
π§ͺ LLM Researcher: Learn to develop advanced LLMs using the newest methodologies.
π¨βπΌ #llm #practitioner: Acquire skills in designing and implementing LLM-based solutions with practical approaches.
π #interactive #resources:
Uncover a rich collection of hands-on notebooks and insightful articles to enhance your learning in #llms. ππ Here's a glimpse of what's inside:
Tools:
π΅οΈ LLM AutoEval: Simplify LLM evaluations using RunPod.
π LazyMergekit: Merge models effortlessly with just a click.
β‘ AutoGGUF: Convert LLMs into GGUF format seamlessly.
π² Model Genealogy: Visualize connections in the lineage of merged models.
Fine-tuning:
π Fine-tuning Llama 2 in Google Colab: A beginner's guide to your first Llama 2 model.
π Fine-tuning LLMs with Axolotl: Explore the leading-edge tool for fine-tuning LLMs.
π Enhancing Mistral-7b with DPO: Improve supervised fine-tuned models using DPO.
Quantization:
π Introduction to Quantization: Learn to optimize LLMs with 8-bit quantization.
π GPTQ and 4-bit Quantization: Run open-source LLMs efficiently on standard hardware.
π GGUF and llama.cpp for Quantization: Apply GGUF to Llama 2 models and share them on the HF Hub.
π ExLlamaV2: A rapid Library for LLM execution. Quantize and run EXL2 models efficiently.
Additional Topics:
π Decoding Techniques in LLMs: Understand text generation from beam search to nucleus sampling.
π¨ Visualizing GPT-2's Loss Landscape: Explore a 3D plot depicting the loss landscape through weight changes.
π Enhancing ChatGPT with Knowledge Graphs: Augment ChatGPT's responses using knowledge graphs.
π€ Combining LLMs with mergekit: Effortlessly create your models without needing a GPU!
Ready to advance your skills in LLMs? π Join us to discover, innovate, and transform the field together!
ππ #llm #machinelearning #techinnovation