fastapi-listing
chatgpt-retrieval-plugin
fastapi-listing | chatgpt-retrieval-plugin | |
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10 | 52 | |
36 | 20,887 | |
- | 0.4% | |
8.6 | 6.1 | |
3 months ago | 9 days ago | |
Python | Python | |
MIT License | MIT License |
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fastapi-listing
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š¢Excited to share the latest release of fastapi-listing. It Just Got Betterš
Check it out on GitHub: https://github.com/danielhasan1/fastapi-listing
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š Exciting News! Introducing the FastAPI Listing Package! š
š GitHub Repository: FastAPI Listing Package
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Excited to share my new open-source package release!
š Just released my open-source package, "fastapi-listing"! It simplifies API response pagination and filtering in FastAPI. Check it out on GitHub: https://github.com/danielhasan1/fastapi-listing š©āš» #OpenSource #Python #FastAPI
- Excited to share my new open-source package release! #OpenSource #Python #FastAPI
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Fast API for M2M Communication
Also I have been working on a Library which is almost infinitely customisable it is something that everyone uses in every api the docs are badly maintained but are enough to give you a hint of what to expect If you have some time do check it out https://github.com/danielhasan1/fastapi-listing
- Created a library for fastapi to make life easier
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Is there any open source project that uses FasAPI?
How about fastapi-listing Library Its highly extendible and decoupled with really good interface with which you can manage complex code in a really structured way https://github.com/danielhasan1/fastapi-listing Do check it out.
chatgpt-retrieval-plugin
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I replaced 50 lines of code with a single LLM prompt
Many comments are criticizing the usage of LLM for this use case but I do believe this will become more common in the future. For example, OpenAI's retrieval plugin leverages LLM to do PII detection [1] instead of using the traditional libraries [2].
[1] https://github.com/openai/chatgpt-retrieval-plugin/blob/main...
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PMET: Precise Model Editing in a Transformer
There is this
https://github.com/openai/chatgpt-retrieval-plugin
I just use SBERT which has models I can run locally
https://sbert.net/
- FLaNK Stack Weekly for 14 Aug 2023
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Pgvector: Fewer Dimensions Are Better
should be yes, but even in examples from openai, they usually do splitting into chunks
For example in chatgpt-retrieval-plugin[0] repo default chunk size is just 200 tokens
[0] https://github.com/openai/chatgpt-retrieval-plugin/blob/main...
this is anyway a limitation, no doubt, but chunking is pretty often used
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I've changed my mind about Code Interpretor
To begin, visit the retrieval plugin repository.
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Any luck using the ChatGPT Retriever Plugin?
You need to run the chatgpt-retrieval-plugin. The README has a quickstart guide for doing that: https://github.com/openai/chatgpt-retrieval-plugin
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Help me write a GPT4 Program
If the browser plugin for ChatGPT gets better to actually exceed what a web-scraper / summarizer can do, you could use GPT for the summarization part and store the results again in some vector database after creating embeddings. You could then use ChatGPT to "talk to your data", meaning when asked for specific information, it could query the database, retrieve the relevant knowledge and provide a meaningful answer based on your question. This could be done via OpenAIs own retrieval plugin (see https://github.com/openai/chatgpt-retrieval-plugin ) or by creating your own Chat-UI that performs the semantic search, feeds the result into the GPT4 API and returns the answer back to the user. David Shapiro made a nice video with step by step instructions on how to do that: https://www.youtube.com/watch?v=2xNzB7xq8nk&pp=ygUUZ3B0NCBtZW1vcnkgcGluZWNvbmU%3D
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March 2023
22-Mar-2023 Adobe unveils creative generative AI model, Firefly, to aid content creation Google has begun rolling out early access to its Bard chatbot in the US and UK Data Breach At ChatGPT? Users Report Seeing Unknown Conversations On Their Screens GPT-4 is available in preview in Azure OpenAI Service AI-powered coding assistance REPL that pairs GPT-4 (https://github.com/jiggy-ai/pair) Open source alternative to ChatGPT (https://github.com/nichtdax/awesome-totally-open-chatgpt) Run 100B+ language models at home, BitTorrentāstyle (https://petals.ml/) Find the most relevant piece of code context. Hover and highlight blocks of code, the tool will point you to the most relevant pieces of information on git, messaging, and ticketing systems. Finally, it provide a summary with the power of GPT.(https://www.watermelontools.com/) Why AI Won't Replace Software Engineers (https://softwarecomplexity.com/why-ai-wont-replace-software-engineers) 23-Mar-2023 'The iPhone Moment of AI' Nvidia to Rent Out Supercomputers Behind ChatGPT to Businesses for $37,000 a Month Bill Gates calls AI revolutionary, says it can reduce some of the worldās worst inequities AI pics of Donald Trump's arrest by 'cop' Joe Biden go viral. Will we no longer be able to tell whatās real vs whatās fake?ā - Eluna AI New research shows we can only accurately identify AI writers about 50% of the time. (https://hai.stanford.edu/news/was-written-human-or-ai-tsu) FauxPilot - an open-source GitHub Copilot server(https://github.com/fauxpilot/fauxpilot) Flower , an open-source framework for training AI on distributed data. We move the model to the data instead of moving the data to the model. (https://flower.dev/) OpenAI-Integrated Microsoft Bing Outperforms Google in Page Visits (https://www.gadgets360.com/internet/news/openai-integrated-microsoft-bing-outperforms-google-page-visits-growth-3885069) GitHub Copilot X: GitHub Copilot is evolving to bring chat and voice interfaces, support pull requests, answer questions on docs, and adopt OpenAIās GPT-4 for a more personalized developer experience. (https://github.blog/2023-03-22-github-copilot-x-the-ai-powered-developer-experience/) Moonshine ā open-source, pretrained ML models for satellite (https://github.com/moonshinelabs-ai/moonshine) Mozilla.ai: A startup ā and a community ā that will build a trustworthy and independent open-source AI ecosystem. Mozilla.aiās initial focus? Tools that make generative AI safer and more transparent. And, people-centric recommendation systems that donāt misinform or undermine our well-being. (https://blog.mozilla.org/en/mozilla/introducing-mozilla-ai-investing-in-trustworthy-ai/) OpenAIās policies hinder reproducible research on language models (https://aisnakeoil.substack.com/p/openais-policies-hinder-reproducible) 24-Mar-2023 Adobe has added AI features to Photoshop and Illustrator, while Nvidia has unveiled āPicassoā AI image generation service. ChatGPT-owner OpenAI fixes 'significant issue' exposing user chat titles.A bug in an open-source library caused ChatGPT to leak user conversation titles. Graphic design platform Canva introduces new generative AI tools Gmail for Android, Google Messages to Soon Get Features for AI-Generated Texts Apple: Transformer architecture optimized for Apple Silicon (https://github.com/apple/ml-ane-transformers) ChatGPT plugins, join waitlist (https://openai.com/blog/chatgpt-plugins) Microsoft's paper on OpenAI's GPT-4 had hidden information (https://twitter.com/DV2559106965076/status/1638769434763608064) how to use LoRA to fine-tune LLaMA using Alpaca training data (https://replicate.com/blog/fine-tune-alpaca-with-lora) Helicone: one-line integration logs the prompts, completions, latencies, and costs of your OpenAI requests (https://github.com/Helicone/helicone) RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). (https://github.com/BlinkDL/RWKV-LM) open-source retrieval plugin The open-source retrieval plugin enables ChatGPT to access personal or organizational information sources (with permission). It allows users to obtain the most relevant document snippets from their data sources, such as files, notes, emails or public documentation, by asking questions or expressing needs in natural language. Security considerations The retrieval plugin allows ChatGPT to search a vector database of content, and add the best results into the ChatGPT session. This means it doesnāt have any external effects, and the main risk is data authorization and privacy. Developers should only add content into their retrieval plugin that they are authorized to use and can share in usersā ChatGPT sessions. https://github.com/openai/chatgpt-retrieval-plugin 27-Mar-2023 Autodoc: Toolkit for auto-generating codebase documentation using LLMs (https://github.com/context-labs/autodoc) March 20 ChatGPT outage: Hereās what happened (https://openai.com/blog/march-20-chatgpt-outage) Facebook is going after LLaMA repos with DMCA's (https://twitter.com/theshawwn/status/1638925249709240322) ChatGPT + Wolfram is INSANE! (https://old.reddit.com/r/ChatGPT/comments/1205omc/chatgpt\_wolfram\_is\_insane/) Reproducing the Stanford Alpaca results using low-rank adaptation (LoRA) (https://github.com/chris-alexiuk/alpaca-lora) GOAT, a decentralized way to publish and download AI models.Powered by BitTorrent and Bitcoin.(https://ipfs.io/ipfs/QmYyucgBQVfs9JXZ2MtmkGPAhgUjNgyGE6rcJT1KybQHhp/index.html) Dolly from databricks (https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html) AI powered Developer Tools 2.0. https://www.sequoiacap.com/article/ai-powered-developer-tools/ Turn your designs into production-ready front-end code for mobile apps and the web (https://www.locofy.ai/) Using ChatGPT Plugins with LLaMA (https://blog.lastmileai.dev/using-openais-retrieval-plugin-with-llama-d2e0b6732f14) 28-Mar-2023 Bing AI now allows 20 prompts per session and can make images for you ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks (https://arxiv.org/abs/2303.15056) ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark (https://arxiv.org/abs/2303.13648) AI-controlled Linux Containers (https://github.com/fafrd/aquarium) Microsoft reportedly orders AI chatbot rivals to stop using Bingās search data (https://www.theverge.com/2023/3/25/23656336/microsoft-chatbot-rivals-stop-using-bing-search-index) 29-Mar-2023 Text2Video-Zero Code and Weights Released by Picsart AI Research (12G VRAM).(https://github.com/Picsart-AI-Research/Text2Video-Zero) Pause Giant AI Experiments: An Open Letter. Huggingface's SF Open-Source AI Meetup officially has 2000 people registered. Cerebras open sources seven GPT-3 models from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models set new benchmarks for accuracy and compute efficiency.(https://www.cerebras.net/blog/cerebras-gpt-a-family-of-open-compute-efficient-large-language-models/) Independent implementation of LLaMA that is fully open source under the Apache 2.0 license (https://github.com/Lightning-AI/lit-llama) Bootstrap knowledge of LLMs (https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d) OPENFLAMINGO: AN OPEN-SOURCE FRAMEWORK FOR TRAINING VISION-LANGUAGE MODELS WITH IN-CONTEXT LEARNING (https://laion.ai/blog/open-flamingo/) gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue (https://github.com/nomic-ai/gpt4all) 30-Mar-2022 Microsoft Security Copilot is a new GPT-4 AI assistant for cybersecurity (https://www.theverge.com/2023/3/28/23659711/microsoft-security-copilot-gpt-4-ai-tool-features) UK details āpro-innovationā approach to AI regulation (https://www.artificialintelligence-news.com/2023/03/29/uk-details-pro-innovation-approach-ai-regulation/) Employees Are Feeding Sensitive Biz Data to ChatGPT, Raising Security Fears (https://www.darkreading.com/risk/employees-feeding-sensitive-business-data-chatgpt-raising-security-fears) In the Age of AI, Don't Let Your Skills Atrophy (https://www.cyberdemon.org/2023/03/29/age-of-ai-skill-atrophy.html) Now ChatGPT is being (mis)used to do #PeerReview (https://mstdn.science/@ukrio/110100752908161183) Bing Chat now has Ads! (https://twitter.com/debarghya\_das/status/1640892791923572737) Cerebras-GPT vs LLaMA AI Model Comparison (https://www.lunasec.io/docs/blog/cerebras-gpt-vs-llama-ai-model-comparison/) Arthur C. Clarke about the future of AI. ā 21 September 1964 (https://twitter.com/Rainmaker1973/status/1640016339011076097) ColossalChat: An Open-Source Solution for Cloning ChatGPT With a Complete RLHF Pipeline (https://medium.com/@yangyou\_berkeley/colossalchat-an-open-source-solution-for-cloning-chatgpt-with-a-complete-rlhf-pipeline-5edf08fb538b) Create and Embed Custom AI Assistants with Libraria (https://libraria.dev/) 31-Mar-2023 Deranged New AI Has No Guardrails Whatsoever, Proudly Praises Hitler (https://futurism.com/deranged-ai-no-guardrails) Midjourney Kills Free AI Image Generator Access After Explosion of Deep Fakes (https://decrypt.co/124972/midjourney-free-ai-image-generation-stopped-over-deepfakes) Judge asks ChatGPT to decide bail in murder trial (https://nypost.com/2023/03/29/judge-asks-chatgpt-for-decision-in-murder-trial/) Should you use OpenAI's embeddings? Probably not, and here's why. (https://iamnotarobot.substack.com/p/should-you-use-openais-embeddings) Visual Studio Code and GitHub Copilot (https://code.visualstudio.com/blogs/2023/03/30/vscode-copilot) Llama Hub (https://llamahub.ai/) Finetuning LLMs on a Single GPU Using Gradient Accumulation (https://lightning.ai/pages/blog/gradient-accumulation/) Open source ETL framework for retrieval augmented generation (RAG). Sync data from your SaaS tools to a vector store, where they can be easily queried by GPT apps (https://github.com/ai-sidekick/sidekick) HALTT4LLM - Hallucination Trivia Test for Large Language Models (https://github.com/manyoso/haltt4llm) Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality (https://vicuna.lmsys.org/) Iterate.ai Brings Generative AI Capabilities to Interplay, the Low-Code Platform Accelerating Customersā Digital Innovation (https://www.indianweb2.com/2023/03/iterateai-brings-generative-ai.html) RFdiffusion is an open source method for structure generation, with or without conditional information (a motif, target etc). (https://github.com/RosettaCommons/RFdiffusion) Google denies training Bard on ChatGPT chats from ShareGPT
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What do you want GPT-5 to do that GPT-4 canāt?
For things like books or papers, I guess that embedding will stay relevant for a while.
What are some alternatives?
django-beam - django-beam provides you with a set of views, templates and integrations for the most common CRUD applications.
langchain - ā” Building applications with LLMs through composability ā” [Moved to: https://github.com/langchain-ai/langchain]
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
llama_index - LlamaIndex is a data framework for your LLM applications
fastcrud - FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.
gpt4all - gpt4all: run open-source LLMs anywhere
fastapi-boilerplate - FastAPI REST API pre-configured with a database. This will get you up and running with CRUD operations quickly.
langchain - š¦š Build context-aware reasoning applications
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Milvus - A cloud-native vector database, storage for next generation AI applications
fastapi-dependency-issue - https://github.com/tiangolo/fastapi/issues/3205
openai-cookbook - Examples and guides for using the OpenAI API