run-llama / finetune-embeddingLinks
Fine-Tuning Embedding for RAG with Synthetic Data
☆524Updated 2 years ago
Alternatives and similar repositories for finetune-embedding
Users that are interested in finetune-embedding are comparing it to the libraries listed below
Sorting:
- ☆906Updated last year
- ☆470Updated 2 years ago
- Domain Adapted Language Modeling Toolkit - E2E RAG☆333Updated last year
- ☆321Updated 2 years ago
- Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning☆310Updated last year
- In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.☆446Updated last year
- 🦜💯 Flex those feathers!☆255Updated last year
- Automated Evaluation of RAG Systems☆683Updated 9 months ago
- wandbot is a technical support bot for Weights & Biases' AI developer tools that can run in Discord, Slack, ChatGPT and Zendesk☆309Updated 2 months ago
- HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels☆565Updated last year
- ☆781Updated 6 months ago
- This repository implements the chain of verification paper by Meta AI☆188Updated 2 years ago
- Code examples and jupyter notebooks for the Cohere Platform☆508Updated last year
- ☆507Updated 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
- Generate textbook-quality synthetic LLM pretraining data☆509Updated 2 years ago
- Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cro…☆921Updated 2 weeks ago
- Sample notebooks and prompts for LLM evaluation☆159Updated 2 months ago
- Easily embed, cluster and semantically label text datasets☆589Updated last year
- ☆218Updated last year
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆568Updated 3 weeks ago
- Open-source tool to visualise your RAG 🔮☆1,209Updated last year
- Benchmark various LLM Structured Output frameworks: Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, etc on task…☆183Updated last year
- Automatically evaluate your LLMs in Google Colab☆682Updated last year
- Examples on how to use LangChain and Ray☆232Updated 2 years ago
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.☆819Updated 6 months ago
- Here you can find all the Tutorials for Haystack 📓☆351Updated 2 weeks ago
- Code for explaining and evaluating late chunking (chunked pooling)☆482Updated last year
- ☆269Updated 2 years ago
- Tune any FALCON in 4-bit☆464Updated 2 years ago