Top Tweets for #LMQL
🚀 LMQL .com DOMAIN FOR SALE 🚀
🔍 Discover LMQL .com - Your Gateway to Language Model Interaction! 🌐
🔗 #LMQL .com is now available for purchase! 🔗
LMQL (Language Model Query Language) is revolutionizing the way we interact with large language models (LM). 🤖💬 It's a cutting-edge programming language that combines the best of natural language prompting with the power of Python, enabling seamless and expressive LM interactions.
✨ Key Features:
🔹 Multi-part prompting for intricate queries.
🔹 Scripting capabilities for dynamic LM interactions.
🔹 Constraint-guided decoding to fine-tune results.
🔹 Tool augmentation to enhance productivity.
🔹 Efficient and effective LM interaction.
🏛️ Developed by the Secure, Reliable, and Intelligent Systems Lab at ETH Zürich, LMQL is a groundbreaking research project with immense potential in the world of AI and natural language processing.
🔗 Don't miss the chance to acquire LMQL .com and build a Large Language-Based Query Language project for the future! 💡💻
Whether you're a researcher, developer, or language enthusiast, LMQL .com offers you a unique opportunity to explore the possibilities of language model interaction. Secure this domain now and be at the forefront of innovation! 🛍️
🔗 Visit LMQL .com today and unlock a new dimension of LM interaction! #LanguageModel #AI #NaturalLanguageProcessing #ETHZurich #ResearchProject #Innovation #ProgrammingLanguage #DomainForSale #OnlineIdentity
https://t.co/e2UoqdEQRx
LMQL 0.0.6.5 includes a massive syntax overhaul!
Query code looks just like 🐍Python now and constraints can be specified inline.
This allows novel programs to be expressed, where earlier generations can now constrain later ones.
Docs: https://t.co/11laXzfaWD
#lmql

Meet LMQL: An Open Source Query Language for LLMs https://t.co/i8MHKt2h8s #TheSequence #LMQL #MachineLearning #LLMs #ArtificialIntelligence #GenerativeAI
Explore the power of #LMQL, a query language for large language models that combines natural language prompting with Python's expressiveness. 🚀🤖
Optimize your LLM interactions and decoding loops with ease.
Learn more at https://t.co/pc4eL1r8yb 💡
https://t.co/s64Ouv5MFN
🚝💨 Very excited to release the LMQL caching layer.
The caching layer is a novel, tree-based data structure, that caches LLM outputs, reducing token use and latency by up to 80% using the power of ✨speculative execution ✨.
Learn more 👇 or at: https://t.co/AvvAc2tz2s
#lmql

ETH Zurich researcher @mvechev and colleagues created a new open-source platform and programming language called #LMQL. It makes it easier, cheaper, and safer to interact with #LargeLanguageModels like #ChatGPT.
https://t.co/YfVh8XZiyR
#GPT4 #ArtificialIntelligence #AI
⚡️LMQL x 🦙 Index: Happy to announce that @lmqllang now supports @gpt_index's powerful index data structures directly from within your query code.
This simplifies Chat To Your Data use case like shown below, but also many other, advanced retrieval workloads.
#lmql #llama_index

You can already use @StabilityAI's StableLM in @lmqllang, simply via @huggingface.
Welcome to the family, StableLM 🤗
#stablelm #lmql

👋🐑 Hello Dolly.
If you got the hardware for it, you can already use @databricks dolly-v2-12b in LMQL.
#lmql #ChatGPT #dolly

Has anyone built an #AutoGPT type agent from #LLaMa with #LMQL type output constraints yet? Here's an idea: LLaMa tuned on #OpenAssistant dataset (out on 15th April) with LMQL prompting, forcing command instructions format. With a retry loop you have a free local autonomous agent

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