dsensei
llama.cpp
| dsensei | llama.cpp | |
|---|---|---|
| 8 | 782 | |
| 251 | 58,425 | |
| -0.4% | - | |
| 9.3 | 10.0 | |
| 6 months ago | 4 days ago | |
| TypeScript | C++ | |
| GNU General Public License v3.0 only | MIT License |
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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)
-
[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
llama.cpp
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IBM Granite: A Family of Open Foundation Models for Code Intelligence
if you can compile stuff, then looking at llama.cpp (what ollama uses) is also interesting: https://github.com/ggerganov/llama.cpp
the server is here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
And you can search for any GGUF on huggingface
-
Ask HN: Affordable hardware for running local large language models?
Yes, Metal seems to allow a maximum of 1/2 of the RAM for one process, and 3/4 of the RAM allocated to the GPU overall. There’s a kernel hack to fix it, but that comes with the usual system integrity caveats. https://github.com/ggerganov/llama.cpp/discussions/2182
- Xmake: A modern C/C++ build tool
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
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.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
sync-to-github - Sync your web content into a github repository, e.g. a conversation with ChatGPT.
gpt4all - gpt4all: run open-source LLMs anywhere
chatgpt-mattermost-bot - A very simple implementation of a service for a mattermost bot that uses ChatGPT in the backend.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Zilon - Scheduled Task to Check Github Libraries Releases and Send Messages with Libraries Update
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
EditAnything - Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)
ggml - Tensor library for machine learning
PRBot - A Slack bot for open source maintainers & public teams.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM