“Alone we can do so little, together we can do so much!”

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AI Helpers

AI Tools

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Level 0:

  1. AI/ML etc

    Getting Started!

  2. ⁠Foundation models

    Understanding the Beginning

    Choosing Foundation Models

  3. ⁠LLMs

    Understanding Large Language Models

    LLM evaluation

  4. ⁠Context window/tokens

    Understanding how to use Large Language Models

  5. Prompt engineering and types of prompts

    Crafting Effective Input for Language Models

  6. Turing test/ Arc AGI Benchmark

    Unraveling the Differences

  7. ⁠Multi Modal LLMs

    Understanding Multi modal

  8. ⁠Fine Tuning

    Finetuning

  9. Transfer Learning

    Transfer Learning

    Knowledge Distillation

    Model Distillation vs Pruning

  10. ⁠Vector search/Embeddings

    Embedding and Vector Search

  11. RAG, its application and Pinecone vector-database

    Retrieval-Augmented Generation (RAG), Its Applications, and Pinecone Vector Database

  12. ⁠Fine tuning vs RAG

    Finetuning vs RAG

  13. ⁠Knowledge graphs and Knowledge graph RAG

    Knowledge Graphs & Knowledge Graph RAGs

  14. ⁠Prompt chaining, Langchain

    Prompt chaining & LangChain

  15. ⁠AI Agents, Tool calling

    AI agents and Tool Calling

  16. Hugging face

    AI Model Marketplace and a lot more…

  17. ⁠Diffusion models/Stability AI

    Diffusion Models and Stability AI: A Deep Dive into Generative AI

  18. LLM Testing

    LLM Testing


Upcoming

Level 0 - Hands-on Guide:

Currently in progress

  1. RAG, its application and Pinecone vector-database

    Hands-On Guide: Implementing Retrieval-Augmented Generation (RAG) with Pinecone

  2. AI Agents, Tool calling

    Hands-On Implementation with Tool Calling & Function Calling

  3. ⁠Hugging face and Fine-tuning a HF model

    Hugging face and Fine-tuning a HF model

Level 1:

  1. GANs

  2. Variational Auto Encoders

  3. Giving short term and long term memory to LLMs

  4. Self attention mechanism

    Self attention mechanism

  5. Transformer architecture

    Transformer architecture

  6. Control Nets

    Control Nets

  7. More on Foundation Models

    SAM, TimesFM

  8. More on FineTuning

    LoRA and QloRA fine tuning

  9. more on RAGs -

    Light RAG, Multi modal RAG