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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Llm Tools
  5. Axolotl vs Humanloop

Axolotl vs Humanloop

OverviewComparisonAlternatives

Overview

Humanloop
Humanloop
Stacks2
Followers4
Votes0
Axolotl
Axolotl
Stacks1
Followers1
Votes0

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CLI (Node.js)
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Manual

Detailed Comparison

Humanloop
Humanloop
Axolotl
Axolotl

It is a low code platform to rapidly annotate data, train and then deploy custom Natural Language Processing (NLP) models. It takes care of model training, data selection and deployment for you. You upload your data and we provide an annotation interface for you to teach a classifier. As you label we train a model, work out what data is most valuable and then deploy the model for you.

It is a tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.

10x fewer labels needed; Add your own heuristics and rules to speed up labelling; Powerful search to focus your labelling efforts; Powerful pretrained models from the forefront of NLP research
Train various Huggingface models such as llama, pythia, falcon, mpt; Supports fullfinetune, lora, qlora, relora, and gptq; Customize configurations using a simple yaml file or CLI overwrite; Load different dataset formats, use custom formats, or bring your own tokenized datasets
Statistics
Stacks
2
Stacks
1
Followers
4
Followers
1
Votes
0
Votes
0
Integrations
No integrations available
Docker
Docker
Python
Python
Pythia
Pythia
PyTorch
PyTorch
Falcon LLM
Falcon LLM
Mistral 7B
Mistral 7B
LLaMA
LLaMA

What are some alternatives to Humanloop, Axolotl?

Clever AI Humanizer

Clever AI Humanizer

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

LangChain

LangChain

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

Ollama

Ollama

It allows you to run open-source large language models, such as Llama 2, locally.

LlamaIndex

LlamaIndex

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

v0 by Vercel

v0 by Vercel

It is a generative user interface system by Vercel powered by AI. It generates copy-and-paste friendly React code based on shadcn/ui and Tailwind CSS that people can use in their projects.

LangGraph

LangGraph

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

LangSmith

LangSmith

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

GPTScript

GPTScript

It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.

Glide

Glide

It is an AI-enabled editor that helps developers write technical design docs faster. It’s like an IDE with Copilot, but instead of directly editing your code, it helps you come up with a solid plan before implementing a change.

ChatGPT

ChatGPT

It is a trained model which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.

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