A free version of Generative AI powered package brought to you by AIGuruKul. It helps augment 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.
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Bhagwan_speaks.ipynb: This python notebook helps one talk to Bhagwan Sri Krishna and gets response/instructions similar to how Arjun got from Bhagwan Sri Krishna
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 |
|---|---|---|---|---|
| 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