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Lmql Alternatives
Similar projects and alternatives to lmql
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guidance
Discontinued A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance] (by microsoft)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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simpleaichat
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
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NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
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rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
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simpleAI
An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
lmql discussion
lmql reviews and mentions
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Show HN: Cognitum Text Classifier for Social Science
- Built on top of LMQL (https://lmql.ai/)
This is an early version with lots of rough edges. Hope this helps anyone working with survey analysis, and let me know if you have any feature requests or ideas for improvement.
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Universal Personal Assistant with LLMs
LLM answer quality directly relates to its given prompts, and therefore, effective prompt engineering is necessary. The landscape of prompt managing platforms and libraries increased manifold. Some tools now actively incorporate specific tweaks of the most recent commercial models, enabling the formulation of prompts that are injected with model-specific formulations. Example libraries are dspy, LMQL, Outlines, and Prompttools,
- Extracting financial disclosure and police reports with OpenAI Structured Output
- 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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Stats
eth-sri/lmql is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of lmql is Python.