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alignment-handbook

Robust recipes for Alignment

amazing-tips

anakin87

argilla

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

camelot

A Python library to extract tabular data from PDFs

content-collection

Collection of content I have created and shared over time

electra-italian-xxl-cased-squad-it

Electra model for (Extractive) Question Answering on Italian texts

fact-checking-rocks

Fact checking baseline combining dense retrieval and textual entailment

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

haystack-entailment-checker

Haystack node for checking the entailment between a statement and a list of Documents

haystack-search-pipeline-streamlit

🚀 Template Haystack Search Application with Streamlit

haystack-tutorials

Here you can find all the Tutorials for Haystack 📓

llama2-haystack

Using Llama2 with Haystack, the NLP/LLM framework.

llm-app-stack

llms4devs

Conference talk: from zero to your first LLM application

mistral-haystack

Mistral + Haystack: build RAG pipelines that rock 🤘

neural-search-pills

Knowledge pills on Neural Search

notebooks

ollama

Get up and running with Llama 2 and other large language models locally

openai-cookbook

Examples and guides for using the OpenAI API

osday

Open Source Day: Come join us and discover Open Source in the most inclusive way :)

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

randstad-ai-challenge

Randstad Artificial Intelligence Challenge (powered by VGEN). Soluzione proposta da Stefano Fiorucci (anakin87) - primo classificato

stefano-fiorucci-website

trl

Train transformer language models with reinforcement learning.

try-agents-haystack

Trying the Agents 🕵️ --> new feature introduced in Haystack 1.15.0 to make Large Language Models resolve complex queries and tasks

who-killed-laura-palmer

Simple Question Answering system, based on data crawled from Twin Peaks Wiki. It is built using 🔍 Haystack, an awesome open-source framework for building search systems that work intelligently over large document collections.