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Top 23 Jupyter Notebook llm Projects
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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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generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI (by GoogleCloudPlatform)
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Alpaca-CoT
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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awesome-generative-ai
A curated list of Generative AI tools, works, models, and references (by filipecalegario)
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tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
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chameleon-llm
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
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llm-colosseum
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
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Agently
[AI Agent Application Development Framework] - 🚀 Build AI agent native application in very few code 💬 Easy to interact with AI agent in code using structure data and chained-calls syntax 🧩 Enhance AI Agent using plugins instead of rebuild a whole new agent
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miyagi
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
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tiger
Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning) (by tigerlab-ai)
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KG_RAG
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Ask HN: People who switched from GPT to their own models. How was it? | news.ycombinator.com | 2024-02-26This is a very nice resource: https://github.com/mlabonne/llm-course
Project mention: Ask HN: What are some books/resources where we can learn by building | news.ycombinator.com | 2024-05-11By happenchance today I learned that Manning recently started working on publishing a X From Scratch series, which currently includes:
* Container Orchestrator: https://www.manning.com/books/build-an-orchestrator-in-go-fr...
* LLM : https://www.manning.com/books/build-a-large-language-model-f...
* Frontend Framework: https://www.manning.com/books/build-a-frontend-web-framework...
A French startup, Mistral AI has released two impressive large language models (LLMs) - Mistral 7B and Mixtral 8x7B. These models push the boundaries of performance and introduce a better architectural innovation aimed at optimizing inference speed and computational efficiency.
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: Yes, Python and Matplotlib can make pretty charts | news.ycombinator.com | 2024-04-16
Project mention: Generative AI – A curated list of Generative AI tools, works, models | news.ycombinator.com | 2023-07-14
Retrieval using a single vector is called dense passage retrieval (DPR), because an entire passage (dozens to hundreds of tokens) is encoded as a single vector. ColBERT instead encodes a vector-per-token, where each vector is influenced by surrounding context. This leads to meaningfully better results; for example, here’s ColBERT running on Astra DB compared to DPR using openai-v3-small vectors, compared with TruLens for the Braintrust Coda Help Desk data set. ColBERT easily beats DPR at correctness, context relevance, and groundedness.
Project mention: ChatGPT provides false information about people, and OpenAI can't correct it | news.ycombinator.com | 2024-04-29> The article talks about OpenAI being unwilling to correct errors. But they just can’t.
There are actually several algorithms intended to allow fact editing in LLMs: https://github.com/zjunlp/EasyEdit?tab=readme-ov-file#curren...
They don't work perfectly (e.g. "Tim Cook is CEO of Apple" and "The CEO of Apple is Tim Cook" for some reason have to be edited separately) but there are certainly techniques available.
Project mention: Generate SQL from Natural Language according Meta Data of Database in Python using LLM in Very Few Codes | /r/Python | 2023-12-06Colab Document: Use Google Colab to try it by yourself
Project mention: Super JSON Mode: Up to 20x Faster JSON Generation from LLMs | news.ycombinator.com | 2024-02-06
Project mention: A list of system prompts used for biomedical RAG (KG-RAG) using LLM | news.ycombinator.com | 2024-01-10
Jupyter Notebook llm related posts
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Finetuning an LLM-Based Spam Classifier with LoRA from Scratch
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BMF: Frame extraction acceleration- video similarity search with Pinecone
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Mini-assistant: OpenAI Assistant compatible API at your service locally
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Finnally LangChain for C++ World?
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FinRAG Datasets and Study
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A Simple Version of Grok 1.5/ GPT-4 Vision from scratch, in one PyTorch file
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Finetune a GPT Model for Spam Detection on Your Laptop in Just 5 Minutes
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A note from our sponsor - InfluxDB
www.influxdata.com | 16 May 2024
Index
What are some of the best open-source llm projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | llm-course | 29,836 |
2 | LLMs-from-scratch | 16,129 |
3 | mistral-src | 8,754 |
4 | generative-ai | 5,640 |
5 | Anima | 3,251 |
6 | Alpaca-CoT | 2,484 |
7 | examples | 2,465 |
8 | lida | 2,443 |
9 | text-generation-webui-colab | 2,042 |
10 | awesome-generative-ai | 2,063 |
11 | trulens | 1,646 |
12 | ReAct | 1,619 |
13 | EasyEdit | 1,435 |
14 | tensor-house | 1,179 |
15 | chameleon-llm | 1,020 |
16 | llm-colosseum | 944 |
17 | LLM-Training-Puzzles | 734 |
18 | Agently | 703 |
19 | miyagi | 645 |
20 | tiger | 385 |
21 | super-json-mode | 342 |
22 | KG_RAG | 357 |
23 | fact-checker | 261 |
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