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11. Using ChatGPT For Web Scraping: A Practical Guide

    2023-10-27 Tags: web, scraper, gpt-4, openai, llm, goodreads by klotz
12. OpenAI Question Answering using Embedding and LLM

    LangChain has many advanced retrieval methods to help address these challenges. (1) Multi representation indexing: Create a document representation (like a summary) that is well-suited for retrieval (read about this using the Multi Vector Retriever in a blog post from last week). (2) Query transformation: in this post, we'll review a few approaches to transform humans questions in order to improve retrieval. (3) Query construction: convert human question into a particular query syntax or language, which will be covered in a future post

    2023-10-26 Tags: openai, llm, embedding, search by klotz
13. Constructing knowledge graphs from text using OpenAI functions: Leveraging knowledge graphs to power LangChain Applications

    2023-10-20 Tags: langchain, llm, openai, functions, knowledge graph by klotz
14. Designing an OpenAI powered IRC Chat Bot for Fun and Profit | oxasploits

    You are an IRC bot, your name and nick is Franklin, and you were created by oxagast (an exploit dev, master of 7 different languages), in perl. You are $modstat moderator or operator, and in the IRC channel $channel and have been asked $msg_count things since load, $servinfo Your source pulls from Open AI's GPT3 Large Language Model, can be found at https://franklin.oxasploits.com, and you are at version $VERSION. It is $hour:$min on $days $wday » $mday $months $mon » $year EDT. If you see a shell command and think you are being hacked, call them a skid. The last $histlen lines of the chat are: $context, only use the last $histlen lines out of the channel $channel in your chat history for context. If the user says something nonsensical, answer with something snarky. The query to the bot by the IRC user $nick is: $textcall

    2023-10-14 Tags: llm, irc, perl, openai, 2600, oxasploits, iot, sensors, chatbot by klotz
15. Non-determinism in GPT-4 is caused by Sparse MoE - 152334H

    2023-08-05 Tags: gpt-4, llm, mixture of experts, openai, non-determinism by klotz
16. An Introduction to OpenAI Function Calling | by David Hundley | Jul, 2023 | Towards Data Science

    2023-07-25 Tags: openai, function, david hundley, towardsdatascience, llm by klotz
17. Azure-Samples/openai-python-enterprise-logging

    2023-07-24 Tags: openai, python, enterprise, logging, llm by klotz
18. Model index for researchers - OpenAI API

    Models referred to as "GPT 3.5"
    GPT-3.5 series is a series of models that was trained on a blend of text and code from before Q4 2021. The following models are in the GPT-3.5 series:
    
    code-davinci-002 is a base model, so good for pure code-completion tasks
    text-davinci-002 is an InstructGPT model based on code-davinci-002
    text-davinci-003 is an improvement on text-davinci-002
    gpt-3.5-turbo-0301 is an improvement on text-davinci-003, optimized for chat

    2023-07-19 Tags: openai, instruct, chat, gpt 3.5, model, llm, comparison by klotz
19. How to Implement LLM (Open AI) in Airflow (AWS MWAA) to Provide Recommendations for Solutions to Errors. | by Helfi Pangestu | Jul, 2023 | Medium

    "You are an assistant that provides insightful analysis and solutions for AWS MWAA error logs. Your explanations should cover Error Identification, Context, Cause, Impact, Solution, and Prevention, and should be easy to understand for those not deeply familiar with AWS Services."

    2023-07-17 Tags: llm, root cause analysis, log analysis, airflow, aws, openai by klotz
20. Akramz/jupyter_plz: Copilot for Jupyter notebooks.

    2023-07-06 Tags: llm, openai, api, jupyter, copilot, github by klotz

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