unilm
openai-python
| unilm | openai-python | |
|---|---|---|
| 41 | 61 | |
| 18,614 | 20,314 | |
| 3.0% | 5.0% | |
| 9.0 | 9.6 | |
| 3 days ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
unilm
- The Era of 1-Bit LLMs: Training_Tips, Code And_FAQ [pdf]
- The Era of 1-Bit LLMs: Training Tips, Code and FAQ
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The Era of 1-bit LLMs: ternary parameters for cost-effective computing
+1 On this, the real proof would have been testing both models side-by-side.
It seems that it may be published on GitHub [1] according to HuggingFace [2].
[1] https://github.com/microsoft/unilm/tree/master/bitnet
[2] https://huggingface.co/papers/2402.17764
- I'm an Old Fart and AI Makes Me Sad
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On building a semantic search engine
e5-mistral is essentially a distillation from gpt-4 to a smaller model. You can see here https://github.com/microsoft/unilm/blob/16da2f193b9c1dab0a69...
they actually have custom prompts for each dataset being tested.
Question would be, if you haven't seen the task before, what is a good prompt to prepend for your task?
IMO e5-mistral is overfit to MTEB
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Leveraging GPT-4 for PDF Data Extraction: A Comprehensive Guide
Layout LM v1, v2 and v3 models [ Github ] DocBERT [ Github ]
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Microsoft Publishes LongNet: Scaling Transformers to 1,000,000,000 Tokens
The repository is available here.
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Recommended open LLMs with image input modality?
It is missing kosmos-2. I remember its image captioning was(demo currently down) really good and it's almost as fast as llava and lavin.
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LongNet: Scaling Transformers to 1,000,000,000 Tokens
Should be this: https://github.com/microsoft/unilm/
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[R] LongNet: Scaling Transformers to 1,000,000,000 Tokens
This is from Microsoft Research (Asia). https://aka.ms/GeneralAI
openai-python
- The Stainless SDK Generator
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GPT-4 Turbo with Vision is a step backwards for coding
The ongoing model anchoring/grounding issue likely affects all GPT-4 checkpoints/variants, but is most prominent with the latest "gpt-4-turbo-2024-04-09" variant due to its most recent cutoff date, might imply deeper issues with the current model architecture, or at least how it's been updated:
https://github.com/openai/openai-python/issues/1310
See also the original thread on OpenAI's developer forums (linked on the GitHub issue) with confirmations from others.
A test code snippet is included in the GitHub issue to A/B test the problem yourself with your own questions if need be.
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Show HN: GritQL, a Rust CLI for rewriting source code
- Iterate on large codebases quickly: we use Rust for maximum performance
GritQL has already been used on thousands of repositories for complex migrations[1] but we're excited to collaborate more with the open source community.
[1] Ex. https://github.com/openai/openai-python/discussions/742
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Integrating AI chatbot💩 into your application in 2024 🧙🏻♂️🏆 is how easy? 🤔
Explore OpenAI and learn how to easily integrate it into your existing application with the OpenAI Python module.
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Need Help with OpenAI Upgrade: Seeking Guidance on 'openai.Completion' Deprecation Error
You tried to access openai.Completion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API. You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface. Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28` A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742
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Anthropic announces Claude 2.1 – 200k context, less refusals
Relatedly, I checked and OpenAI deleted all references to their ChatML spec from their GitHub repo.
This is what it said in an earlier commit: https://github.com/openai/openai-python/blob/2942bf4bb635b1e...
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Web scraping experiment with AI (Parsing HTML with GPT-4)
Make sure to install the OpenAI library first. Since I'm using Python, I need
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OpenAI: "We are dealing with periodic outages due to an abnormal traffic pattern reflective of a DDoS attack"
Source: https://github.com/openai/openai-python/discussions/742
- GitHub - openai/openai-python: The official Python library for the OpenAI API
- OpenAI Python v1 Released
What are some alternatives?
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
whisper.cpp - Port of OpenAI's Whisper model in C/C++
ERNIE - Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
involution - [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
langchain - 🦜🔗 Build context-aware reasoning applications
gensim - Topic Modelling for Humans
openai-node - The official Node.js / Typescript library for the OpenAI API
maelstrom - A workbench for writing toy implementations of distributed systems.
ChatGPT-AutoExpert - 🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
sharegpt - Easily share permanent links to ChatGPT conversations with your friends