prompt-engineering
supercharger
prompt-engineering | supercharger | |
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35 | 13 | |
7 | 346 | |
- | - | |
4.8 | 6.6 | |
12 months ago | about 1 year ago | |
JavaScript | Python | |
MIT License | MIT License |
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prompt-engineering
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Enhancing AI Interaction: A Guide to Prompt Engineering
DeepLearning.AI Prompt engineering Learn Prompting
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Prompt course on Udemy
For engineers in the context of prompt engineering, there are a few decent options, like ChatGPT Prompt Engineering for Developers - DeepLearning.AI for example. But it seems you didn't ask for that.
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The Rise of Copilot: Is Syntex Becoming Obsolete?
ChatGPT Prompt Engineering for Developers: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
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Is ChatGPT4 worth the money? Or does it tiptoe around "sensitive" topics Iike 3.5 does?
ChatGPT Prompt Engineering for Developers - DeepLearning.AI
- Short courses: ChatGPT prompt engineering (1 hour) π
- Is chatgpt pro still worth it?
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Wow! Refactoring with JetBrains AI Assistant
Ideally, anyone interested in should take a course of prompt engineering to learn how to use assistant properly (for example here) as to make full use of the increased productivity.
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prompt-engineering VS chatgpt.js - a user suggested alternative
2 projects | 5 Jul 2023
- ChatGPT tells me that "im bullsh*t"
supercharger
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Claude 2
Since I've been on a AI code-helper kick recently. According to the post, Claude 2 now 71.2%, a significant upgrade from 1.3 (56.0%). It isn't specified whether this is pass@1 or pass@10.
For comparison:
* GPT-4 claims 85.4 on HumanEval, in a recent paper https://arxiv.org/pdf/2303.11366.pdf GPT-4 was tested at 80.1 pass@1 and 91 pass@1 using their Reflexion technique. They also include MBPP and Leetcode Hard benchmark comparisons
* WizardCoder, a StarCoder fine-tune is one of the top open models, scoring a 57.3 pass@1, model card here: https://huggingface.co/WizardLM/WizardCoder-15B-V1.0
* The best open model I know of atm is replit-code-instruct-glaive, a replit-code-3b fine tune, which scores a 63.5% pass@1. An independent developer abacaj has reproduced that announcement as part of code-eval, a repo for getting human-eval results: https://github.com/abacaj/code-eval
Those interested in this area may also want to take a look at this repo https://github.com/my-other-github-account/llm-humaneval-ben... that also ranks with Eval+, the CanAiCode Leaderboard https://huggingface.co/spaces/mike-ravkine/can-ai-code-resul... and airate https://github.com/catid/supercharger/tree/main/airate
Also, as with all LLM evals, to be taken with a grain of salt...
Liu, Jiawei, Chunqiu Steven Xia, Yuyao Wang, and Lingming Zhang. βIs Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.β arXiv, June 12, 2023. https://doi.org/10.48550/arXiv.2305.01210.
- Let's be honest: none of the models can code well
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April 2023
Leverage locally-hosted Large Language Models to write software + unit tests (https://github.com/catid/supercharger)
- What coding llm is the best?
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Is there such a thing as local Llamas integrated into VSCode?
supercharger Write Software + unit tests for you, based on Baize-30B 8bit, using model parallelism
- I have a project in my own programming language, abusing both lexical and syntactic macros. I want to do a refactoring tasks on it. I don't have a GPU, but 14-core CPU. Should I pay for cloud or there are local ways to do such task on my laptop? Which model is better for programming?
- What is the best open source model/program to help index and debug code?
- Leverage locally-hosted Large Language Models to write software and unit tests
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Can LLMs do static code analysis?
Added support for 65B LLaMa model to https://github.com/catid/supercharger tonight. It runs faster than Baize 30B (maybe due to lack of adapter) and only slightly slower than Galpaca 30B. Benchmarks here: https://docs.google.com/spreadsheets/d/1TYBNr_UPJ7wCzJThuk5ysje7K1x-_62JhBeXDbmrjA8/edit?usp=sharing
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Benchmarks for LLMs on Consumer Hardware
Here's the code that loads it: https://github.com/catid/supercharger/blob/main/server/model_koala.py
What are some alternatives?
turbopilot - Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
developer - the first library to let you embed a developer agent in your own app!
vocode-python - π€ Build voice-based LLM agents. Modular + open source.
gptest - GPTest VS Code Extension
Learn_Prompting - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
walter - AI-powered software development assistant built right into GitHub so it can act as your junior developer.
awesome-chatgpt - π§ A curated list of awesome ChatGPT resources, including libraries, SDKs, APIs, and more. π Please consider supporting this project by giving it a star.
llm-humaneval-benchmarks
telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.
evaporate - This repo contains data and code for the paper "Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes"
llama.go - llama.go is like llama.cpp in pure Golang!
locai - Connect to Kobold API through VS Code