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Top 21 Jupyter Notebook langchain Projects
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generative-ai
Sample code and notebooks for Generative AI on Google Cloud, including Gemini (by GoogleCloudPlatform)
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hands-on-llms
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
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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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ChatPDF
Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Local-LLM-Langchain
Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.
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finsight
FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.
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Roy
Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models. (by JosefAlbers)
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Langchain
This repository will show how Langchain๐ฆ๐ library can be used and integrated (by rubentak)
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gpt-vector-agent
๐งฉ Interfacing with different LLMs-chains, vectorstore databases, and autonomous agents.
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instinct.cpp
instinct.cpp is a framework for developing AI Agent applications (RAG, Chatbot, Code interpreter) powered by language models.
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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.
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ProTaska-GPT
Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.
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SaaSHub
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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...
There are 3 courses that I usually recommend to folks looking to get into MLE/MLOps that already have a technical background. The first is a higher-level look at the MLOps processes, common challenges and solutions, and other important project considerations. It's one of Andrew Ng's courses from Deep Learning AI but you can audit it for free if you don't need the certificate: - Machine Learning in Production For a more hands-on, in-depth tutorial, I'd recommend this course from NYU (free on GitHub), including slides, scripts, full-code homework: - Machine Learning Systems And the title basically says it all, but this is also a really good one: - Hands-on Train and Deploy ML Pau Labarta, who made that last course, actually has a series of good (free) hands-on courses on GitHub. If you're interested in getting started with LLMs (since every company in the world seems to be clamoring for them right now), this course just came out from Pau and Paul Iusztin: - Hands-on LLMs For LLMs I also like this DLAI course (that includes Prompt Engineering too): - Generative AI with LLMs It can also be helpful to start learning how to use MLOps tools and platforms. I'll suggest Comet because I work there and am most familiar with it (and also because it's a great tool). Cloud and DevOps skills are also helpful. Make sure you're comfortable with git. Make sure you're learning how to actually deploy your projects. Good luck! :)
For example your website (https://embedai.thesamur.ai/) uses Google Login, Google Fonts, Google Tagmanager, Google Analytics and translate.googleapis.com. I'd assume Google will all user data for maximum profit. For each service there are free and self-hostable alternatives.
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: Zapier AI Actions on your website to chat with 6000 tools [video] | news.ycombinator.com | 2023-11-24I have built a project to let you run Zapier AI actions on your website to chat with 6000+ tools. Just connect Zapier to EmbedAI, and start performing some cool actions such as these
Find your latest email and reply to it
Send messages to slack channels
Create calendar events just from chat
Here is the link to the project https://thesamur.ai
Project mention: Building a Llama2 Langchain powered Simple Chat Bot hosted on Napptive | dev.to | 2023-08-19Here's the tutorial that you can look into, thanks to Anil-matcha who shared it on GitHub.
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.
Huge kudos to Ruben Tak for the wonderful notebook I based my tutorial on.
You don't say whether you are running Windows or Linux or whether you need Python code or node. This looks like a useful resource for Linux - https://github.com/abhinand5/gptq_for_langchain/tree/main
Project mention: Anyone here involved with medical research studies or data journalism? | /r/ChatGPTPro | 2023-12-10I just looked it up and this repo has links to the necessary tools, but Iโm pretty sure you could Google or GPT how to use said tools that best fit your specific prices and just run it in the cli. Hope that helps; sounds like youโve already managed some of the harder parts and just need to get past the tedious prompting parts!
Project mention: Instinct.cpp is a toolkit for LLM-powered apps targeting edge computing | news.ycombinator.com | 2024-04-19
I have a repo that uses it for a simple app https://github.com/carteakey/cinemattr-db
Project mention: Learn Data Science with a GPT-powered Tutor: ProTaska-GPT | /r/learnpython | 2023-06-19
Project mention: Building an AI bot with langchain, OpenAI, Pinecone and Vercel | /r/LangChain | 2023-07-03Data "workbench" - scraping, data sanitization, upserting
Jupyter Notebook langchain related posts
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Show HN: Zapier AI Actions on your website to chat with 6000 tools [video]
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finsight: NEW Textual - star count:104.0
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Building a Llama2 Langchain powered Simple Chat Bot hosted on Napptive
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Example Code needed
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4th lesson in Langchain course is out now
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I have open-sourced code to reduce your ChatGPT api costs by 50%
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Learn to build and deploy AI apps using langchain
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A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024
Index
What are some of the best open-source langchain projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | generative-ai | 5,475 |
2 | hands-on-llms | 2,311 |
3 | ChatPDF | 1,261 |
4 | Get-Things-Done-with-Prompt-Engineering-and-LangChain | 958 |
5 | langchain-course | 943 |
6 | miyagi | 626 |
7 | ClassGPT | 209 |
8 | Local-LLM-Langchain | 207 |
9 | finsight | 176 |
10 | langforge | 163 |
11 | langchain-tutorials | 72 |
12 | Roy | 66 |
13 | Langchain | 50 |
14 | gptq_for_langchain | 39 |
15 | gpt-vector-agent | 9 |
16 | instinct.cpp | 5 |
17 | cinemattr-db | 4 |
18 | TLDR-the-TnC | 3 |
19 | ProTaska-GPT | 2 |
20 | hngpt | 1 |
21 | office-oracle-data-bench | 0 |
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