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Top 11 Jupyter Notebook prompt-engineering Projects
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generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Promptify
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
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awesome-generative-ai
A curated list of Generative AI tools, works, models, and references (by filipecalegario)
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Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
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miyagi
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Smarty-GPT
A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users
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Roy
Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models. (by JosefAlbers)
Generative AI For Beginners: a collection of resources to learn about Generative AI, including tutorials, code samples, and more.
Project mention: GPT-4, without specialized training, beat a GPT-3.5 class model that cost $10B | news.ycombinator.com | 2024-03-24There is also the open source FinGPT, that is claimed to beat GPT4 in some benchmarks at a fine tuning cost of $17.25.
https://github.com/AI4Finance-Foundation/FinGPT
I've used the code based on similar examples from GitHub [1]. According to docs [2], imagegeneration@005 was released on the 11th, so I guessed it's Imagen 2, though there are no confirmations.
[1] https://github.com/GoogleCloudPlatform/generative-ai/blob/ma...
[2] https://console.cloud.google.com/vertex-ai/publishers/google...
Project mention: Promptify 2.0: More Structured, More Powerful LLMs with Prompt-Optimization, Prompt-Engineering, and Structured Json Parsing with GPT-n Models! 🚀 | /r/ArtificialInteligence | 2023-07-31First up, a huge Thank You for making Promptify a hit with over 2.3k+ stars on Github ! 🌟
Project mention: Generative AI – A curated list of Generative AI tools, works, models | news.ycombinator.com | 2023-07-14
Project mention: Get-Things-Done-with-Prompt-Engineering-and-LangChain: NEW Data - star count:617.0 | /r/algoprojects | 2023-12-10
Project mention: Show HN: Instantly create video clips from LLM prompts | news.ycombinator.com | 2024-02-23
Project mention: My take on Microsoft's `autogen` for multi-agent chat: `Roy` | /r/LocalLLaMA | 2023-10-05So, I spent the weekend putting together Roy. I tried to replicate some of its features but in what I hoped would be a simpler, more straightforward way.
Jupyter Notebook prompt-engineering related posts
- GPT-4, without specialized training, beat a GPT-3.5 class model that cost $10B
- Get-Things-Done-with-Prompt-Engineering-and-LangChain: NEW Data - star count:617.0
- Get-Things-Done-with-Prompt-Engineering-and-LangChain: NEW Data - star count:551.0
- Get-Things-Done-with-Prompt-Engineering-and-LangChain: NEW Data - star count:551.0
- Get-Things-Done-with-Prompt-Engineering-and-LangChain: NEW Data - star count:551.0
- Get-Things-Done-with-Prompt-Engineering-and-LangChain: NEW Data - star count:551.0
- Get-Things-Done-with-Prompt-Engineering-and-LangChain: NEW Data - star count:551.0
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A note from our sponsor - InfluxDB
www.influxdata.com | 28 Apr 2024
Index
What are some of the best open-source prompt-engineering projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | generative-ai-for-beginners | 42,394 |
2 | FinGPT | 11,485 |
3 | generative-ai | 5,396 |
4 | Promptify | 3,020 |
5 | awesome-generative-ai | 1,971 |
6 | Get-Things-Done-with-Prompt-Engineering-and-LangChain | 943 |
7 | miyagi | 616 |
8 | sports | 438 |
9 | Smarty-GPT | 142 |
10 | PromptClip | 83 |
11 | Roy | 66 |
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