Boundary ML
@boundaryML
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Developing BAML, the AI framework that puts the engineering back into prompt engineering.
Joined January 2023
We decided to make our function-calling benchmark results fully public and interactive!
Our interactive function-calling benchmark results are live! https://t.co/ewT7B4XH9B
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Cool tutorial with end-to-end structured extraction for Patient intake forms using #BAML @boundaryML + @cocoindex_io. Production-grade, Fully #OpenSource. get started: 🔗 https://t.co/EnSbsSQdE2 repo: 🌟 https://t.co/87y7KMhmTn > BAML defines a typed Patient schema +
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We're making a programming language for AI in Rust. https://t.co/YTRiPZrvTO
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Amazing combo of #opensource @cocoindex_io and @boundaryML to build resilient, live structured extraction in LLM data flows. Fully open source, link in comment!
The good folks @cocoindex_io put out an example of using @boundaryML BAML to incrementally process structured outputs of patient data from PDFs. 💯Highly recommend! Looking forward to seeing @LinghuaJ's upcoming blog post on this, stay tuned! https://t.co/VReSMQxXnb
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Only in SF kinda story. Saw a beautiful girl at this cafe I was working from, well dressed, waiting for someone for over 25 mins & visibly distressed. Spoke to her, she was on an interview and didn't show up (stupid CEO). We spoke more. Told her what @boundaryML does,
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I put the @boundaryML and JSON Schemas payloads side by side. Turns out that BAML is much lighter to serialize and parse. Aggregate (all tests): 84.4% reduction - 🔴 JSON Schema: 632 tokens - 🟢 BAML Schema: 99 tokens Use BAML in your Ruby apps with https://t.co/Dj7k0dXeg8
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Great event with @mlopscommunity at the @boundaryML offices - thanks to them for hosting and sponsoring the food/drink. Enjoyed Michael’s talk about Tambo and agentic UX, and Vaibhav’s talk about BAML language integrations - exciting to see how far both companies have come
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Stay tuned!
BAML hit 6,000 stars on Github today. 10k coming soon once we drop agent support in the next 2 months. Imagine iterating on agents / ai workflows 10x faster.
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We are hiring Rust devs to work on building out a programming language (BAML) with crazy new, useful features for making AI pipelines. Our entire team is senior+ engineers. We are a team of 5. We work hard and in person in Seattle. We accept new grads. The interview is not
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The Rise of Semantic Entity Resolution is on Towards Data Science this morning…! > This post introduces the emerging field of semantic entity resolution for knowledge graphs, which uses language models to automate the most painful part of building knowledge graphs from text:
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DSPy 🤝 BAML
DSPy users can now leverage BAML's output format. It can give you 5% gain in structured output reliability, even in bigger models. from dspy.adapters.baml_adapter import BAMLAdapter Great work from our community member @tech_optimist . BAML users have had these reliability
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also we used @boundaryML to build this and it is awesome https://t.co/G9xCyDWqMr
github.com
An MCP server that autonomously tests software. . Contribute to jazzberry-ai/python-testing-mcp development by creating an account on GitHub.
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In case you were doubting BAML's reliability with structured outputs, a BAML user got SOTA on agentic web-browsing. Think of all the dev cycles spent trying to use tool-call APIs for 10 different providers, when they could've just used BAML.
Magnitude is state-of-the-art on WebVoyager at 94% 🚀 Here's a video of me using Magnitude to generate a report based on our WebVoyager blog. Here's what our agent said: { title: 'Magnitude WebVoyager Benchmark Results', summary: "Magnitude has achieved state-of-the-art
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Keep the BAML projects coming
When I worked at @TetraScience I learned how to use @elastic. Something I found a bit strange, however, is just how poorly documented regular human queries were paired to ElasticSearch (EQL) language queries. I decided to do something about this.
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Home automation is a >$100B industry With open source LLMs on @CerebrasSystems, anyone can run blazingly fast inference basically for free so I remade the core of Alexa in a day.. using @boundaryML @elevenlabsio @convex A thread 🧵 (with github repo!)
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was living under the rock to have never heard about BAML. thanks to @tech_optimist for introducing me to BAML, have been digging into it for the past 2 days, lives up to the promises for structured extraction with complex json or pydantic schema, BAML is the way to go for sure.
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I built an open-source deep research agent with Gemini, @ExaAILabs and @boundaryML's BAML + a terminal UI (also has a separate @inngest backend which I will do another video on later) Check out how it works 👇
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Its crazy how easy @boundaryML has made making AI agents. After trying Agno, langchain etc I am convinced BAML is the best way to build AI Agents
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What if you did all LLM evals on a spreadsheet? Made with BAML by AndrewD on our discord
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