Hacker News
Linking pages
- GitHub - Lightning-AI/lit-llama: Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. https://github.com/Lightning-AI/lit-llama 69 comments
- LoRA, explained https://generatingconversation.substack.com/p/lora-explained 7 comments
- GitHub - project-baize/baize-chatbot: Let ChatGPT teach your own chatbot in hours with a single GPU! https://github.com/project-baize/baize-chatbot 1 comment
- GitHub - eosphoros-ai/Awesome-Text2SQL: Curated tutorials and resources for Large Language Models, Text2SQL, and more. https://github.com/eosphoros-ai/Awesome-Text2SQL 1 comment
- GitHub - hyintell/awesome-refreshing-llms: EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining. https://github.com/hyintell/awesome-refreshing-llms 1 comment
- Representation Engineering and Control Vectors - Neuroscience for LLMs - hlfshell https://hlfshell.ai/posts/representation-engineering/ 1 comment
- GitHub - neilellis/coding-with-gpt-4 https://github.com/neilellis/coding-with-gpt-4 0 comments
- coding-with-gpt-4/README.md at main · neilellis/coding-with-gpt-4 · GitHub https://github.com/neilellis/coding-with-gpt-4/blob/main/README.md 0 comments
- Efficient Instruction Fine-tuning of Flan-UL2 (20B LLM) Using LoRA with Limited Compute | by Teja Gollapudi | VMware Data & ML Blog | Apr, 2023 | Medium https://medium.com/vmware-data-ml-blog/lora-finetunning-of-ul-2-and-t5-models-35a08863593d 0 comments
- GitHub - Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model https://github.com/Hannibal046/Awesome-LLM 0 comments
- GitHub - RUCAIBox/LLMSurvey: The official GitHub page for the survey paper "A Survey of Large Language Models". https://github.com/RUCAIBox/LLMSurvey 0 comments
- GitHub - filipecalegario/awesome-generative-ai: A curated list of Generative AI tools, works, models, and references https://github.com/filipecalegario/awesome-generative-ai 0 comments
- GitHub - nlpfromscratch/nlp-llms-resources: Master list of curated resources on NLP and LLMs https://github.com/nlpfromscratch/nlp-llms-resources 0 comments
- A beginner's guide to LLM fine-tuning | Modal Blog https://modal.com/blog/llm-fine-tuning-overview 0 comments
- GitHub - AIoT-MLSys-Lab/Efficient-LLMs-Survey: Efficient Large Language Models: A Survey https://github.com/AIoT-MLSys-Lab/Efficient-LLMs-Survey 0 comments
- QLoRA-LLM - A custom implementation of Quantized LoRA for fine-tuning a LLM https://www.vectortheta.com/blog/QLoRA-LLM 0 comments
- GitHub - srikanth235/benchllama: Benchmark your local LLMs. https://github.com/srikanth235/benchllama 0 comments
- Training with Big Data on Any Cloud | Tigris Object Storage https://www.tigrisdata.com/blog/training-any-cloud/ 0 comments
Linked pages
- Hugging Face – The AI community building the future. https://huggingface.co/ 57 comments
- [2106.09685] LoRA: Low-Rank Adaptation of Large Language Models https://arxiv.org/abs/2106.09685 8 comments
- [2006.03654] DeBERTa: Decoding-enhanced BERT with Disentangled Attention https://arxiv.org/abs/2006.03654 1 comment
- [1907.11692] RoBERTa: A Robustly Optimized BERT Pretraining Approach https://arxiv.org/abs/1907.11692 0 comments
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