HiTZ/GoLLIE-34B · Hugging Face

uniflow provides a unified LLM interface to extract and transform and raw documents.

• Document types: Uniflow enables data extraction from PDFs, HTMLs and TXTs.


• LLM agnostic: Uniflow supports most common-used LLMs for text tranformation, including
  
  
  • OpenAI models (GPT3.5 and GPT4),
  
  
  • Google Gemini models (Gemini 1.5, MultiModal),
  
  
  • AWS BedRock models,
  
  
  • Huggingf

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Repository for the paper "The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning", including 1.84M CoT rationales extracted across 1,060 tasks"

Paper Link : https://arxiv.org/abs/2305.14045

Boosting annotator efficiency with Large Language Models

In July and August, we released LLM-assisted recipes for data annotation and prompt engineering:

• NER: ner.llm.correct, ner.llm.fetch


• Spancat: spans.llm.correct, spans.llm.fetch


• Textcat: textcat.llm.correct, textcat.llm.fetch


• Prompt engineering and terms: ab.llm.tournament terms.llm.fetch

Prodigy's... See more

Giskard is a Python library that automatically detects vulnerabilities of AI models, from tabular models to LLM, including: performance biases, data leakage, spurious correlation, hallucination, toxicity, security issues and many more.

It's a powerful tool that helps data scientists save time and effort drilling down on model issues, and produce mor... See more

OpenGPTs

This is an open source effort to create a similar experience to OpenAI's GPTs. It builds upon LangChain, LangServe and LangSmith. OpenGPTs gives you more control, allowing you to configure:

• The LLM you use (choose between the 60+ that LangChain offers)


• The prompts you use (use LangSmith to debug those)


• The tools you give it (choose from LangC

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🥤 Cola [NeurIPS 2023]

Large Language Models are Visual Reasoning Coordinators

Liangyu Chen*,†,♥ Bo Li*,♥ Sheng Shen♣ Jingkang Yang♥

Chunyuan Li♠ Kurt Keutzer♣ Trevor Darrell♣ Ziwei Liu✉,♥

♥S-Lab, Nanyang Technological University

♣University of California, Berkeley ♠Microsoft Research, Redmond

*Equal Contribution †Project Lead ✉Corresponding Author... See more

Welcome to prompttools created by Hegel AI! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like code, notebooks, and a local playground.

In just a few lines of codes, you can t

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