tabnine-intellij
openai-cookbook
| tabnine-intellij | openai-cookbook | |
|---|---|---|
| 1 | 215 | |
| 503 | 56,195 | |
| 1.0% | 1.2% | |
| 9.3 | 9.5 | |
| about 2 months ago | about 14 hours ago | |
| Kotlin | MDX | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tabnine-intellij
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Finetuning Large Language Models
This is why Tabnine got e super excited, until I ran across the issue where they think their results are better than what the IDE gives you, which is incredibly annoying. https://github.com/codota/tabnine-intellij/issues/18 . I would be happy to pay, but it seems they are convinced their way is best.
I honestly think that if you could have all your private code indexed and accessible, this would be a game changer as it has way better context.
openai-cookbook
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Question-Answer System Architectures using LLMs
A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.
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Ask HN: High quality Python scripts or small libraries to learn from
https://github.com/openai/openai-cookbook/blob/main/examples...
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
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How to fine tune vit/convnet to focus on the layout of the input room image and ignore other things ?
It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.
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Best base model 1B or 7B for full finetuning
tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
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Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
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Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
What are some alternatives?
idea-php-laravel-plugin - Laravel Framework Plugin for PhpStorm / IntelliJ IDEA
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
svelte-intellij - Svelte components in WebStorm and friends
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
intellij-sdk-code-samples - Mirror of the IntelliJ SDK Docs Code Samples
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Mongo-DB-Browser - Mongo DB Browser plugin for JetBrains
askai - Command Line Interface for OpenAi ChatGPT
nextjs-openai-doc-search - Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
jetbrains-indexer - Generate & package JetBrains shared indexes with a Docker container.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows