antiscope
lmql
| antiscope | lmql | |
|---|---|---|
| 2 | 30 | |
| 2 | 3,408 | |
| - | 2.6% | |
| 3.5 | 9.3 | |
| about 2 months ago | 27 days ago | |
| Python | Python | |
| - | 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.
antiscope
-
Show HN: Magentic – Use LLMs as simple Python functions
See also: `antiscope`, an experiment in subjunctive programming
https://github.com/MillionConcepts/antiscope
- `antiscope` – an irrealis programming library [pdf]
lmql
- Show HN: Fructose, LLM calls as strongly typed functions
-
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.
-
[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.
-
Guidance for selecting a function-calling library?
lqml
-
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
-
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?
-
Local LLMs: After Novelty Wanes
LMQL is another.
What are some alternatives?
magentic - Seamlessly integrate LLMs as Python functions
guidance - A guidance language for controlling large language models.
cria - OpenAI compatible API for serving LLAMA-2 model
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
guardrails - Adding guardrails to large language models.
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.
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
clownfish - Constrained Decoding for LLMs against JSON Schema
sketch - AI code-writing assistant that understands data content
OpenChat - LLMs custom-chatbots console ⚡