stanford_alpaca
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stanford_alpaca | Open-Assistant | |
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108 | 329 | |
28,602 | 36,512 | |
1.4% | 0.8% | |
2.0 | 9.1 | |
16 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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stanford_alpaca
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How Open is Generative AI? Part 2
Alpaca is an instruction-oriented LLM derived from LLaMA, enhanced by Stanford researchers with a dataset of 52,000 examples of following instructions, sourced from OpenAI’s InstructGPT through the self-instruct method. The extensive self-instruct dataset, details of data generation, and the model refinement code were publicly disclosed. This model complies with the licensing requirements of its base model. Due to the utilization of InstructGPT for data generation, it also adheres to OpenAI’s usage terms, which prohibit the creation of models competing with OpenAI. This illustrates how dataset restrictions can indirectly affect the resulting fine-tuned model.
- Ask HN: AI/ML papers to catch up with current state of AI?
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Fine-tuning LLMs with LoRA: A Gentle Introduction
In this article, we're going to experiment with LoRA and fine-tune Llama Alpaca using commercial hardware.
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Creating a new Finetuned model
Most papers I did read showed at least a thousand, even 10000 at several cases, so I assumed that to be the trend in the case of Low rank adapter(PEFT) training.(source: [2305.14314] QLoRA: Efficient Finetuning of Quantized LLMs (arxiv.org) , Stanford CRFM (Alpaca) and the minimum being openchat/openchat · Hugging Face ; There are a lot more examples)
- Bye bye Bing
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The idea maze for AI startups (2015)
I think there's a new approach for “How do you get the data?” that wasn't available when this article was written in 2015. The new text and image generative models can now be used to synthesize training datasets.
I was working on an typing autocorrect project and needed a corpus of "text messages". Most of the traditional NLP corpuses like those available through NLTK [0] aren't suitable. But it was easy to script ChatGPT to generate thousands of believable text messages by throwing random topics at it.
Similarly, you can synthesize a training dataset by giving GPT the outputs/labels and asking it to generate a variety of inputs. For sentiment analysis... "Give me 1000 negative movie reviews" and "Now give me 1000 positive movie reviews".
The Alpaca folks used GPT-3 to generate high-quality instruction-following datasets [1] based on a small set of human samples.
Etc.
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[D] High-quality, open-source implementations of LLMs
Alpaca [GitHub]
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please 0.1.0 released: let GPT-4 remember CLI args
Now if only this could be used offline, eg. with alpaca https://github.com/tatsu-lab/stanford_alpaca
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Is there a Chatgpt (or other LLMs) powered application in the field of cybersecurity/privacy for end users/b2c?
If you have a strong enough computer, there is Alpaca and llama.cpp which are both open-source. They also have the best privacy feature of all: to be able to be ran locally offline on your computer. I believe there are more foss LLMs out there too but idr.
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Does ChatGPT suck at programming for everyone or just for me?
Are you aware that you can run a pretrained LLM on just 8gb of ram with a single x86 cpu?
Open-Assistant
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Best open source AI chatbot alternative?
For open assistant, the code: https://github.com/LAION-AI/Open-Assistant/tree/main/inference
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OpenAI now sends email threats?!
https://open-assistant.io seems to have the same guardrails, as ChatGPT. Tried it on several prompts and it wouldn't comply.
I also suggest Open Assistant (https://open-assistant.io) which is not even filtered (whenever you trigger a moralist filter, it's because of its training data, and it's not on purpose).
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Chat GPT Alternatives?
Open-Assistant [https://open-assistant.io/]
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What are the best AI tools you've ACTUALLY used?
ok ima just do this instead: https://www.getdevkit.com/devgpt https://stunning.so/dashboard https://promptchainer.io/dashboard/settings https://www.kaggle.com/ https://leetcode.com https://app.sttabot.io/bot/ai_chatbot_agent_mem_debug_auditer/ https://app.questmate.com/home https://app.gitwit.dev/projects# https://agentgpt.reworkd.ai/ https://socra.com/journey https://dashboard.cohere.ai/playground/embed https://studio.ai21.com/playground/complete?modelId=j2-jumbo https://dust.tt https://chat.forefront.ai/ https://github.com/jina-ai/dev-gpt https://whattheai.tech/ https://www.chatbotui.com/ https://cebra.ai/ https://thesamur.ai/?bl=en https://chat.getgptapi.com/#/ https://www.patience.ai/ https://aiagent.app/ https://unlimitedgpt.co/ https://www.futuredesk.io/welcome https://stunning.so/ https://www.wellknown.ai/ https://huggingface.co/spaces/ysharma/ChatGPT4 https://realpython.com/jupyter-notebook-introduction/ https://github.com/miurla/babyagi-ui https://chat.lmsys.org/ https://www.loom.com/use-case/marketing https://thesamur.ai/mygpt https://open-assistant.io/dashboard https://www.cognosys.ai/ https://github.com/LAION-AI/Open-Assistant https://github.com/muellerberndt/micro-gpt https://github.com/oobabooga/text-generation-webui https://huggingface.co/databricks/dolly-v2-12b https://github.com/nomic-ai/gpt4all https://dashboard.cohere.ai/playground/generate https://www.theindieai.com/ https://leetcode.com/accounts/login/?next= https://neetcode.io/
Open Assistant by LAION AI on GitHub
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Compiling a Comprehensive List of Publicly Usable LLM Q&A Services - Need Your Input!
https://open-assistant.io - oasst-sft-6-llama-30b
- best chatgpt website alternatives (save message 🧑💻)
- BEST ChatGPT Website Alternatives (save message 🧑💻)
What are some alternatives?
KoboldAI-Client
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llama.cpp - LLM inference in C/C++
llama - Inference code for Llama models
alpaca-lora - Instruct-tune LLaMA on consumer hardware
gpt4all - gpt4all: run open-source LLMs anywhere
ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
llama_index - LlamaIndex is a data framework for your LLM applications
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
StableLM - StableLM: Stability AI Language Models
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ