txtinstruct
cataclysm
| txtinstruct | cataclysm | |
|---|---|---|
| 13 | 8 | |
| 221 | 406 | |
| 2.7% | - | |
| 5.0 | 4.1 | |
| 10 months ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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txtinstruct
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Questions about memory, tree-of-thought, planning
I tried cromadb but had terrible performance and could not pin down the cause (likely a problem on my end). Weaviate was easy to setup and had excellent performance, this is probably what I will use in the future. Next on my list is txtinstruct, to finetune a model with data that does not change and using a vector db for everything else seems promising.
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[R] Let Language Models be Language Models
The closest thing I've seen to this is txtinstruct
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Create a ChatGPT-like program using an open source model and custom data.
txtinstruct is a framework for training instruction-tuned models
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Stability AI Launches the First of Its StableLM Suite of Language Models
Great to see the continued release of open models. The only disappointing thing is that models keep building on CC-BY-NC licensed datasets, which severely limits their use.
Hopefully, people consider txtinstruct (https://github.com/neuml/txtinstruct) and other approaches to generate instruction-tuning datasets without the baggage.
- Build open instruction-tuned datasets and models (r/MachineLearning)
- Build open instruction-tuned datasets and models
- [P] Build open instruction-tuned datasets and models
- Create open instruction-tuned datasets and LLM models
- Show HN: Build open instruction-tuned datasets and models
cataclysm
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I now have chatGPT-4 API Access. Now what? 😁
With GPT4, coding libraries like cataclysm work so much better.
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[R] Let Language Models be Language Models
Also, found that cataclysm repo and opened a much-needed expectation-tempering PR.
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Wolverine: Give your Python scripts regenerative healing abilities
Also check out Cataclysm:
https://github.com/Mattie/cataclysm
Demo: https://www.youtube.com/watch?v=ZK8fUuQDgZ4
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ChatGPT is a tool, not a magician
Hah. https://github.com/Mattie/cataclysm this GitHub creates python scripts wholesale.
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Noob needs help: best practices for coding with chatGPT
Are you working in Python? You might also be interested in the cataclysm module I made: https://github.com/Mattie/cataclysm
- Cataclysm – Code generation library for the end game
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cataclysm v0.1 -- The Final Python Module? (Crazy module for AI code generation)
Just released cataclysm, an experimental Python module (MIT license): https://github.com/Mattie/cataclysm
- Show HN: Cataclysm v0.1 – the final Python module?
What are some alternatives?
StableLM - StableLM: Stability AI Language Models
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
safetensors - Simple, safe way to store and distribute tensors
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
AlpacaDataCleaned - Alpaca dataset from Stanford, cleaned and curated
wolverine
geov - The GeoV model is a large langauge model designed by Georges Harik and uses Rotary Positional Embeddings with Relative distances (RoPER). We have shared a pre-trained 9B parameter model.
openai-gpt4 - decentralising the Ai Industry, free gpt-4/3.5 scripts through several reverse engineered api's ( poe.com, phind.com, chat.openai.com, phind.com, writesonic.com, sqlchat.ai, t3nsor.com, you.com etc...) [Moved to: https://github.com/xtekky/gpt4free]
instruct-eval - This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
gpt4free - The official gpt4free repository | various collection of powerful language models
lm-evaluation-harness - A framework for few-shot evaluation of autoregressive language models.
tree-of-thought-llm - [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models