Alternatives and similar repositories for pal

Users that are interested in pal are comparing it to the libraries listed below

• conceptofmind / toolformer
  ☆379Updated 2 years ago
• zeno-ml / zeno-build
  Build, evaluate, understand, and fix LLM-based apps
  ☆492Updated last year
• ofirpress / self-ask
  Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"
  ☆323Updated 2 years ago
• nlpxucan / evol-instruct
  ☆277Updated 2 years ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆551Updated last year
• freshllms / freshqa
  Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)
  ☆383Updated last month
• pengbaolin / LLM-Augmenter
  ☆444Updated 2 years ago
• xlang-ai / Binder
  [ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
  ☆325Updated 2 years ago
• OpenLemur / Lemur
  [ICLR 2024] Lemur: Open Foundation Models for Language Agents
  ☆555Updated 2 years ago
• yuchenlin / LLM-Blender
  [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…
  ☆973Updated last year
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆541Updated last year
• jayelm / gisting
  Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467
  ☆302Updated 10 months ago
• kmeng01 / memit
  Mass-editing thousands of facts into a transformer memory (ICLR 2023)
  ☆534Updated last year
• night-chen / ToolQA
  ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …
  ☆284Updated 2 years ago
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆564Updated 11 months ago
• anthropics / ConstitutionalHarmlessnessPaper
  ☆250Updated 3 years ago
• abacaj / code-eval
  Run evaluation on LLMs using human-eval benchmark
  ☆426Updated 2 years ago
• bhargaviparanjape / language-programmes
  ☆173Updated 2 years ago
• madaan / self-refine
  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
  ☆768Updated last year
• bigcode-project / octopack
  🐙 OctoPack: Instruction Tuning Code Large Language Models
  ☆479Updated 11 months ago
• shuyanzhou / docprompting
  Data and code for "DocPrompting: Generating Code by Retrieving the Docs" @ICLR 2023
  ☆251Updated 2 years ago
• shizhediao / active-prompt
  Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"
  ☆248Updated last year
• microsoft / CodeT
  ☆672Updated last year
• allenai / natural-instructions
  Expanding natural instructions
  ☆1,027Updated 2 years ago
• OpenBioLink / ThoughtSource
  A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research …
  ☆1,011Updated last year
• jzbjyb / FLARE
  Forward-Looking Active REtrieval-augmented generation (FLARE)
  ☆662Updated 2 years ago
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆583Updated 2 years ago
• salesforce / DialogStudio
  DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI
  ☆517Updated 11 months ago
• Gentopia-AI / Gentopia
  Build Hierarchical Autonomous Agents through Config. Collaborative Growth of Specialized Agents.
  ☆326Updated 2 years ago
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆372Updated 2 years ago