Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Building-Machine-Learning-Demos-with-Gradio
In this course you'll learn to use Gradio to create user-friendly apps with minimal code: Summarize text using a large language model, generate image captions, and chat with an open source LLM. Gain practical knowledge to build interactive demos faster.
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.
guardrails
Adding guardrails to large language models.
HuggingFace
HugginFace for Beginners
InsightSolver-Colab
InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.
LangChain-Chat-with-your-Data
Using LangChain learn data loading, splitting, embeddings, and advanced retrieval techniques using over 80 unique loaders. Build question-answering solutions and chatbots with LangChain and LLMs for interactive data interaction.
LangChain-for-LLM-App-Development
The framework to take LLMs out of the box. Learn to use LangChain to call LLMs into new environments, and use memories, chains, and agents to take on new and complex tasks.
Machine-Learning-From-Scratch
Implementation of popular ML algorithms from scratch
open-llms
📋 A list of open LLMs available for commercial use.
atomWater's Repositories
atomWater/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
atomWater/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.
atomWater/guardrails
Adding guardrails to large language models.
atomWater/LangChain-for-LLM-App-Development
The framework to take LLMs out of the box. Learn to use LangChain to call LLMs into new environments, and use memories, chains, and agents to take on new and complex tasks.
atomWater/open-llms
📋 A list of open LLMs available for commercial use.
atomWater/Quality-and-Safety-for-LLM-Applications
Explore new metrics and best practices to monitor your LLM systems and ensure safety and quality
atomWater/ALL-in-one-PYTHON
All the content that I learned through two Courses. One is called "Python Chilla" and the second one is called "100 Days of Machine Learning"
atomWater/awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
atomWater/axolotl
Go ahead and axolotl questions
atomWater/BeautificationJUPYTER
images for jupyter notebook
atomWater/ChatDoctor
atomWater/clinical_chatbot_public
atomWater/deeplearning.ai
Notes for courses by deeplearning.ai
atomWater/DialogStudio
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI
atomWater/Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
atomWater/large-language-models
Notebooks for Large Language Models (LLMs) Specialization
atomWater/LargeLanguageModelsProjects
Large Language Model Projects
atomWater/llama2.c
Inference Llama 2 in one file of pure C
atomWater/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
atomWater/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
atomWater/llm_distillation_playbook
Best practices for distilling large language models.
atomWater/LLMDataHub
A quick guide (especially) for trending instruction finetuning datasets
atomWater/meditron
Meditron is a suite of open-source medical Large Language Models (LLMs).
atomWater/notebooks
all notebooks to finetune llama2 and mixtral
atomWater/quivr
Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.
atomWater/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
atomWater/rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
atomWater/Reinforcement-Learning-from-Human-Feedback
Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.
atomWater/The-Grand-Complete-Data-Science-Materials
atomWater/Understanding-and-Applying-Text-Embeddings