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Machine & Deep Learning Compendium
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Large Language Models (LLMs)

Articles

Papers

  1. 1.
    ​Language understanding by generative pre-training - Alec et al. openAI
  2. 2.
    ​LLM are few shot learners - scaling LLMs with data is enough to make them few shot.

Models

  1. 1.
    Databricks dolly
    1. 1.
      ​Version 1.0​
    2. 2.
      ​Version 2.0, Huggingface​
  2. 2.
    ​LLaMA​
  3. 3.
    ​Bard​
  4. 4.
    ​StabilityLM​
    1. 1.
      Vicuna
    2. 2.
      LLaMA

Datasets

Tools

  1. 1.
    ​Scikit-LLM​
  2. 2.
    ​LangChain - An amazing tutorial in Youtube by Patrick Loeber about
    • LLMs
    • Prompt Templates
    • Chains
    • Agents and Tools
    • Memory
    • Document Loaders
    • Indexes
  3. 3.
    ​ReAct & LangChain​
  4. 4.
    ​LangFlow, Medium, HuggingFace - is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
  5. 5.
    ​PandasAI - PandasAI, asking data Qs using LLMs on Panda's DFs with two code lines. 𝚙𝚊𝚗𝚍𝚊𝚜_𝚊𝚒 = 𝙿𝚊𝚗𝚍𝚊𝚜𝙰𝙸(𝚕𝚕𝚖) & 𝚙𝚊𝚗𝚍𝚊𝚜_𝚊𝚒.𝚛𝚞𝚗(𝚍𝚏, 𝚙𝚛𝚘𝚖𝚙𝚝='𝚆𝚑𝚒𝚌𝚑 𝚊𝚛𝚎 𝚝𝚑𝚎 𝟻 𝚑𝚊𝚙𝚙𝚒𝚎𝚜𝚝 𝚌𝚘𝚞𝚗𝚝𝚛𝚒𝚎𝚜?')
  6. 6.
    ​LLaMa Index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.

Metrics

  1. 1.
    ​Understanding ROUGE - a family of metrics that evaluate the performance of a LLM in text summarization, i.e., ROUGE-1, ROUGE-2, ROUGE-L, for unigrams, bi grams, LCS, respectively.

Use Cases

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Foundational Models - Previous
Fairness, Accountability, and Transparency In Prompts
Next - Foundational Models
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Last modified 6mo ago