generative-ai-for-beginners
ibis
generative-ai-for-beginners | ibis | |
---|---|---|
8 | 23 | |
43,438 | 4,241 | |
27.5% | 6.5% | |
9.8 | 10.0 | |
3 days ago | 6 days ago | |
Jupyter Notebook | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
generative-ai-for-beginners
-
Build a serverless ChatGPT with RAG using LangChain.js
Generative AI For Beginners: a collection of resources to learn about Generative AI, including tutorials, code samples, and more.
- Generative AI for Beginners – 18 Lessons
-
Microsoft Security-101: Open-Source curriculum
https://github.com/microsoft/generative-ai-for-beginners/
- FLaNK Stack 26 February 2024
- Generative AI for Beginners – Version 2
-
Generative AI for Beginners
Create an issue at https://github.com/microsoft/generative-ai-for-beginners. There is a call to action for feedback and looks like at least one of the contributors are in education, so will probably take the feedback on board.
- Lesson course on everything you need to know to start building Gen AI apps
- Generative AI for Beginners via Microsoft AI Services
ibis
-
Show HN: Hashquery, a Python library for defining reusable analysis
I really don't understand the appeal of dbt vs a proper programming language. The templating approach leads to massive spaghetti. I look forward to trying out something like Ibis [0]
0: https://ibis-project.org/
-
This Week In Python
ibis – portable Python dataframe library
- Ibis: The portable Python dataframe library
- FLaNK Stack 26 February 2024
-
Quarto
The main benefit is that you get a Python (or R, Julia or Rust) interpreter. So you can evaluate code. A good example of the value of this is the Ibis docs which use Quarto: https://ibis-project.org/
-
Polars – A bird's eye view of Polars
Ive found polars quite intuitive, though for python, I lean more towards [ibis](https://ibis-project.org/). The interface is nearly identical, but ibis has the benefit if building sql queries before pulling any actual data (like dbplyr) — whereas polars requires the data to be in-memory (at least for rdb’s, though correct me if Im wrong)
this to me seems like a good argument for only using ibis, but Im happy to be convinced otherwise
- Ibis – Universal Interface for Data Wrangling
-
Vanna.ai: Chat with your SQL database
Please add Ibis Birdbrain https://ibis-project.github.io/ibis-birdbrain/ to the list. Birdbrain is an AI-powered data bot, built on Ibis and Marvin, supporting more than 18 database backends.
See https://github.com/ibis-project/ibis and https://ibis-project.org for more details.
- Ibis
What are some alternatives?
GPT-4-Prompt-Library - Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for GPT-4, Claude, Llama2, Falcon, Bard, and other high-performing open-source LLMs. [Moved to: https://github.com/abilzerian/LLM-Prompt-Library]
snowflake-connector-python - Snowflake Connector for Python
OpenAI-DotNet - A Non-Official OpenAI RESTful API Client for DotNet
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
LLM-Prompt-Library - Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for GPT-4, Claude, Llama3, Gemini, and other high-performing open-source LLMs.
Apache Impala - Apache Impala
MusicWithChatGPT - Tips and tools for writing music with the aid of ChatGPT
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
llmflows - LLMFlows - Simple, Explicit and Transparent LLM Apps
sqlite_scanner - DuckDB extension to read and write to SQLite databases
awesome-assistant-api - Try openai assistant api apps on Google Colab for free. Awesome assistant API Demos!
katacoda