embodied-emulated-personas
transfer-learning-conv-ai
| embodied-emulated-personas | transfer-learning-conv-ai | |
|---|---|---|
| 3 | 3 | |
| 13 | 1,717 | |
| - | 0.3% | |
| 6.0 | 0.0 | |
| about 1 year ago | 11 months ago | |
| Python | Python | |
| MIT License | MIT License |
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embodied-emulated-personas
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Ask HN: Have advancements in AI given you ideas for new side projects?
I have started several:
- A small example of how to use behavior trees in structuring LLM chatbot applications: https://github.com/keskival/behavior-trees-for-llm-chatbots
- A project for extracting meta-learned reinforcement learning algorithms out of a large language model: https://github.com/keskival/king-algorithm-manifesto
- A proof-of-concept of embodying an LLM chatbot into a Gym PoleCart environment: https://github.com/keskival/embodied-emulated-personas
- LLM chatbots can be embodied
- LLM chatbot personas can be embodied
transfer-learning-conv-ai
- will gpt2 run in my laptop
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[D] [R] Dialogue generation with contrastive objectives
Code for https://arxiv.org/abs/1901.08149 found: https://github.com/huggingface/transfer-learning-conv-ai
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Messing around with an AI
https://github.com/huggingface/transfer-learning-conv-ai (Requires an hefty GPU though...)
What are some alternatives?
behavior-trees-for-llm-chatbots - Example: Using Behavior Trees for structuring goal-driven LLM chatbot processes
BigGAN-PyTorch - The author's officially unofficial PyTorch BigGAN implementation.
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.
GPT2-Chinese - Chinese version of GPT2 training code, using BERT tokenizer.
DeepFake-Detection - Towards deepfake detection that actually works
sense - Enhance your application with the ability to see and interact with humans using any RGB camera.
DialogRPT - EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
Code-LMs - Guide to using pre-trained large language models of source code
AdaVAE - [Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
autogluon - Fast and Accurate ML in 3 Lines of Code
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"