primeqa VS google-local-results-ai-server

Compare primeqa vs google-local-results-ai-server and see what are their differences.

google-local-results-ai-server

A server code for serving BERT-based models for text classification. It is designed by SerpApi for heavy-load prototyping and production tasks, specifically for the implementation of the google-local-results-ai-parser gem. (by serpapi)
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primeqa google-local-results-ai-server
5 6
702 13
0.4% -
8.2 5.3
1 day ago 18 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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primeqa

Posts with mentions or reviews of primeqa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-20.

google-local-results-ai-server

Posts with mentions or reviews of google-local-results-ai-server. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing primeqa and google-local-results-ai-server you can also consider the following projects:

question_extractor - Generate question/answer training pairs out of raw text.

llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

cherche - Neural Search

detoxify - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].

extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

SquadCalc - A Minimalist Squad Mortar Calculator

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.

quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.

OpenPrompt - An Open-Source Framework for Prompt-Learning.