dsensei
supercharger
dsensei | supercharger | |
---|---|---|
8 | 13 | |
251 | 346 | |
-0.4% | - | |
9.3 | 6.6 | |
6 months ago | about 1 year ago | |
TypeScript | Python | |
GNU General Public License v3.0 only | MIT License |
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.
dsensei
- Show HN: Dsensei, pinpoint the root cause of metric change in one minute
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April 2023
Retrieve data from databases using natural language commands (https://github.com/logunify/dsensei)
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[Tutorial] Setup Your in House AI Slack Bot for Data Analytics in Natural Language
Learn more about our open source project on Github
- Say goodbye to complex SQL queries with DSensei, the open-source bot that understands natural language commands to retrieve information from databases like BigQuery, MySQL, and PostgreSQL.
- Open-source Slack bot for natural language data queries powered by ChatGPT
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Open source slack bot to answer natural language data questions
I am sharing an open source slack bot I built recently, https://github.com/logunify/dsensei/
- OSS ChatGPT Slack bot for nature language data question
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. “Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.” 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?
CSharp-ChatBot-GPT - This repository contains a simple C# chatbot powered by OpenAI’s ChatGPT. The chatbot utilizes the RestSharp and Newtonsoft.Json libraries to interact with the ChatGPT API and process user input.
developer - the first library to let you embed a developer agent in your own app!
sync-to-github - Sync your web content into a github repository, e.g. a conversation with ChatGPT.
gptest - GPTest VS Code Extension
chatgpt-mattermost-bot - A very simple implementation of a service for a mattermost bot that uses ChatGPT in the backend.
walter - AI-powered software development assistant built right into GitHub so it can act as your junior developer.
Zilon - Scheduled Task to Check Github Libraries Releases and Send Messages with Libraries Update
llm-humaneval-benchmarks
EditAnything - Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)
evaporate - This repo contains data and code for the paper "Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes"
PRBot - A Slack bot for open source maintainers & public teams.
locai - Connect to Kobold API through VS Code