philschmid / sagemaker-huggingface-llama-2-samplesLinks
☆89Updated 2 years ago
Alternatives and similar repositories for sagemaker-huggingface-llama-2-samples
Users that are interested in sagemaker-huggingface-llama-2-samples are comparing it to the libraries listed below
Sorting:
- Enterprise Scale NLP with Hugging Face & SageMaker Workshop series☆242Updated 2 years ago
- Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging co…☆117Updated last year
- ☆270Updated 8 months ago
- Sample notebooks and prompts for LLM evaluation☆156Updated last month
- ☆60Updated last year
- ☆27Updated 3 years ago
- Document Q&A on Wikipedia articles using LLMs☆79Updated 2 years ago
- ☆217Updated last year
- ☆64Updated 8 months ago
- Fine-Tuning Embedding for RAG with Synthetic Data☆521Updated 2 years ago
- Compilation of examples of SageMaker inference options and other features.☆70Updated last month
- Resources relating to the DLAI event: https://www.youtube.com/watch?v=eTieetk2dSw☆189Updated 2 years ago
- Here you can find all the Tutorials for Haystack 📓☆351Updated 2 weeks ago
- Tuning the Finetuning: An exploration of achieving success with QLoRA☆45Updated last year
- Starter pack for NeurIPS LLM Efficiency Challenge 2023.☆129Updated 2 years ago
- ☆469Updated 2 years ago
- LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.☆69Updated last year
- meta_llama_2finetuned_text_generation_summarization☆21Updated 2 years ago
- Domain Adapted Language Modeling Toolkit - E2E RAG☆334Updated last year
- Mistral + Haystack: build RAG pipelines that rock 🤘☆106Updated last year
- ☆171Updated last month
- ☆187Updated 2 years ago
- Training and inference on AWS Trainium and Inferentia chips.☆253Updated this week
- 🦜💯 Flex those feathers!☆255Updated last year
- Building a chatbot powered with a RAG pipeline to read,summarize and quote the most relevant papers related to the user query.☆166Updated last year
- Collect user feedback from within your Streamlit app☆164Updated 11 months ago
- Context is Key: Combining Embedding-based Retrieval with LLMs for Comprehensive Knowledge Enrichment☆31Updated 2 years ago
- experiments with inference on llama☆103Updated last year
- ☆89Updated 2 years ago
- Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da☆119Updated 8 months ago