OpenAI-Assistants-Template VS ProTaska-GPT

Compare OpenAI-Assistants-Template vs ProTaska-GPT and see what are their differences.

OpenAI-Assistants-Template

Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents. (by pranavgupta2603)

ProTaska-GPT

Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations. (by AmanPriyanshu)
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OpenAI-Assistants-Template ProTaska-GPT
1 1
69 2
- -
6.0 7.2
5 months ago 8 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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OpenAI-Assistants-Template

Posts with mentions or reviews of OpenAI-Assistants-Template. We have used some of these posts to build our list of alternatives and similar projects.

ProTaska-GPT

Posts with mentions or reviews of ProTaska-GPT. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing OpenAI-Assistants-Template and ProTaska-GPT you can also consider the following projects:

TLDR-the-TnC - TLDR the T&C uses an LLM to understand the contents of Terms and Conditions documents and provides a user-friendly chatbot interface for users to ask questions and receive answers.

voxelgpt - AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions

LlamaIndex-course - Learn to build and deploy AI apps.

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

langchain-course - Learn to build and deploy AI apps.

langchain-tutorials - Overview and tutorial of the LangChain Library

cinemattr-db - Backend of cinemattr.ca

Roy - Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

parsee-datasets - Datasets, case studies and benchmarks for extracting structured information from PDFs, HTML files or images, created by the Parsee.ai team. Datasets also on Hugging Face: https://huggingface.co/parsee-ai