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ParlAI VS Haystack NLP Framework

Compare ParlAI VS Haystack NLP Framework and see what are their differences

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ParlAI logo ParlAI

A python framework for sharing, training and testing dialogue models, from open-domain chitchat to VQA

Haystack NLP Framework logo Haystack NLP Framework

Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Not present
  • Haystack NLP Framework Landing page
    Landing page //
    2023-12-11

Category Popularity

0-100% (relative to ParlAI and Haystack NLP Framework)

ParlAI

Haystack NLP Framework

Large Language Model Tools
26 26%
Large Language Model Tools
74% 74
Utilities
14 14%
Utilities
86% 86
Communications
18 18%
Communications
82% 82
AI
0 0%
AI
100% 100

User comments

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Social recommendations and mentions

Based on our record, Haystack NLP Framework seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ParlAI mentions (0)

We have not tracked any mentions of ParlAI yet. Tracking of ParlAI recommendations started around Nov 2023.

Haystack NLP Framework mentions (5)

  • Haystack DB – 10x faster than FAISS with binary embeddings by default
    I was confused for a bit but there is no relation to https://haystack.deepset.ai/. - Source: Hacker News / about 2 months ago
  • Release Radar • March 2024 Edition
    People like to be on the AI bandwagon, but to have good AI models, you need good LLM (large language models). Welcome to Haystack, it's an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. The latest version is a rewrite of the Haystack framework, and includes a new package, powerful pipelines, customisable components, prompt templating, and... - Source: dev.to / 2 months ago
  • Generative AI Frameworks and Tools Every Developer Should Know!
    Haystack can be classified as an end-to-end framework for building applications powered by various NLP technologies, including but not limited to generative AI. While it doesn't directly focus on building generative models from scratch, it provides a robust platform for:. - Source: dev.to / 6 months ago
  • Best way to programmatically extract data from a set of .pdf files?
    But if you want an API that you can use to develop your own flow, Haystack from Deepset could be worth a look. Source: 6 months ago
  • Which LLM framework(s) do you use in production and why?
    Haystack for production. We cannot afford breaking changes in our production apps. Its stable, documentation is excellent and did I mention its' STABLE!?? Source: 6 months ago

What are some alternatives?

When comparing ParlAI and Haystack NLP Framework, you can also consider the following products

DeepPavlov - An open source library for deep learning end-to-end dialog systems and chatbots.

Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗

Virtual Human Toolkit - A collection of modules, tools, and libraries designed to aid and support researchers and developers with the creation of virtual human conversational characters

LangChain - Framework for building applications with LLMs through composability

Plato Research Dialogue System - A flexible framework that can be used to create, train, and evaluate conversational AI

MiniGPT-4 - Minigpt-4

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