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Ashrayergso
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001 Agents
22 repositories
003 Genral use
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02 RAG
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04 code helpers
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Cool
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December
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Education
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Fun
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Good examples
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GPT's
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Interesting
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Knowledge
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maybe
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my forks
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๐ My stack
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New
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Next-up
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Nlp
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November
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October
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project
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Starred repositories
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written in Jupyter Notebook
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18 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
A guidance language for controlling large language models.
๐ฟ Free software that works great, and also happens to be open-source Python.
Natural Language Processing Tutorial for Deep Learning Researchers
YSDA course in Natural Language Processing
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
Understanding Deep Learning - Simon J.D. Prince
Jupyter notebooks for the Natural Language Processing with Transformers book
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
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
Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.
LLM Finetuning with peft
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Teโฆ
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avaiโฆ
A set of LangChain Tutorials from my youtube channel
Developer APIs to Accelerate LLM Projects
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, โฆ
Open-source tool to visualise your RAG ๐ฎ
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, andโฆ
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Deterministic LLMs Outputs for AI Applications and AI Agents
In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.