A free version of Generative AI powered package which augments search based on documents and video files without any need for internet connection or any API key.
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Chat_youtube.ipynb: This python notebook helps one search for answers from a youtube recording which has a transcript available. It also exports out the transcript as a docx file.
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docGPT.ipynb: This python notebook helps one search for answers from files of multiple types (word, doc, html, csv, ppt). It can be a great aid if you want to quickly get objective and fact backed answers from a file using a web User Interface.
To understand LLM's, we must read books, related papers and practise codes to get a grip on them.
Various books have been uploaded in the reading resources folder.
Date | keywords | Institute | Paper | Publication |
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2017-06 | Transformers | Attention Is All You Need | NeurIPS |
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2021-09 | FLAN | Finetuned Language Models are Zero-Shot Learners | ICLR |
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2022-01 | Minerva | Solving Quantitative Reasoning Problems with Language Models | NeurIPS |
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2022-03 | InstructGPT | OpenAI | Training language models to follow instructions with human feedback | |
2022-04 | PaLM | PaLM: Scaling Language Modeling with Pathways | ||
2023-03 | GPT 4 | OpenAI | GPT-4 Technical Report | |
2023-07 | LLaMA 2 | Meta | Llama 2: Open Foundation and Fine-Tuned Chat Models |
You can see more in papers and readings section in reading resources.
The following are links of various other resources to study about langachains, LLM's and AI models-
- LLMsPracticalGuide - A curated (still actively updated) list of practical guide resources of LLMs
- Chain-of-Thoughts Papers - A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models.
- LLMDatahub - a curated collection of datasets specifically designed for chatbot training, including links, size, language, usage, and a brief description of each dataset
- Awesome-Code-LLM - An awesome and curated list of best code-LLM for research.
- Awesome-LLM-Inference - A curated list of Awesome LLM Inference Paper with codes.
- llm-course - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Visit their official repository langchain-ai and read the book Generative AI with langchains. This will give a basic insight on how langchains work and you will develop ability to code using langchains.
- Build a chatbot which talks to PDF file using Langchain and OpenAI embeddings.
Check out my sessions in the talks.md
and follow them on below discord link.
Discord: https://discord.gg/rUrxKhTk