lmql
rasa
lmql | rasa | |
---|---|---|
30 | 16 | |
3,320 | 17,984 | |
2.9% | 1.0% | |
9.5 | 9.6 | |
about 1 month ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | 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.
lmql
- Show HN: Fructose, LLM calls as strongly typed functions
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Prompting LLMs to constrain output
have been experimenting with guidance and lmql. a bit too early to give any well formed opinions but really do like the idea of constraining llm output.
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[D] Prompt Engineering Seems Like Guesswork - How To Evaluate LLM Application Properly?
the only time i've ever felt like it was anything other than guesswork was using LMQL . not coincidentally, LMQL works with LLMs as autocomplete engines rather than q&a ones.
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Guidance for selecting a function-calling library?
lqml
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Show HN: Magentic – Use LLMs as simple Python functions
This is also similar in spirit to LMQL
https://github.com/eth-sri/lmql
- Show HN: LLMs can generate valid JSON 100% of the time
- LangChain Agent Simulation – Multi-Player Dungeons and Dragons
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The Problem with LangChain
LLM calls are just function calls, so most functional composition is already afforded by any general-purpose language out there. If you need fancy stuff, use something like Python‘s functools.
Working on https://github.com/eth-sri/lmql (shameless plug, sorry), we have always found that compositional abstractions on top of LMQL are mostly there already, once you internalize prompts being functions.
- Is there a UI that can limit LLM tokens to a preset list?
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Local LLMs: After Novelty Wanes
LMQL is another.
rasa
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
Support Rasa on GitHub ⭐
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RasaGPT: First headless LLM chatbot built on top of Rasa, Langchain and FastAPI
It itself is not a GPT. It is a a framework of a framework project built on top of Rasa (https://github.com/RasaHQ/rasa) and Langchain which by default uses gpt3.5-turbo (change it in the .env file) or any foundation model you wish.
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Problem with RASA Open Source "The client is using an unsupported version of the Socket.IO or Engine.IO"
There was already a GitHub issue https://github.com/RasaHQ/rasa/issues/11084 but it seems like there was no solution provided.
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I plan to build my own AI powered search engine for my portfolio. Do you know ones that are open-source?
Rasa - also an open source platform. You can use it to build chatbots that are more in line with customer service and sales. Reading that, it’s kind of a big yikes for people under this kind of job knowing you can automate a part of their job via a chatbot. I think they also have a Pro version which is an extension that has additional analytics and probably more security features. I probably will check out the Open source one first and maybe ask about what the Pro version is.
- How to Installing Rasa & Building Rasa Chatbot on an M1 Macbook.
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Show HN: Flex – transpile natural language to a programming language
At the moment it can recognise the type of statements in the training data set [1] and transpile them to Python, Java or C++ using the mappings defined here [2].
This is very different from how Codex/Autopilot work as it is trained using an NLU framework [3] which is usually used for training chatbots.
[1]: https://github.com/Flex-lang/transpiler/tree/master/transpil...
[2]: https://github.com/Flex-lang/transpiler/tree/master/transpil...
[3]: https://github.com/RasaHQ/rasa
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Seek alternative to Wix chatbox.
Check out Rasa
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Meet Jeanie - Your AI Powered Virtual Girlfriend - Beta
It looks like it is built upon a Chatbot platform called “messengerx.io”, which itself seems to be built upon an open-source/machine-learning framework for voice/text conversations called “Rasa”
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What are some good languages if you want to code AI?
Use Python and use the Rasa framework to make a chat bot. https://rasa.com/docs/
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How to Create the Perfect README for Your Open Source Project
This example is sourced from RasaHQ
What are some alternatives?
guidance - A guidance language for controlling large language models.
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
opendialog - OpenDialog is a Conversational Experience Platform - the starting point for your own conversational applications.
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
chatwoot - Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
tock - Tock, the open source conversational AI toolkit.
guardrails - Adding guardrails to large language models.
botman - A framework agnostic PHP library to build chat bots
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
botkit - Botkit is an open source developer tool for building chat bots, apps and custom integrations for major messaging platforms.