Quotient AI @QuotientAI
We’re building tools to catch agent mistakes and automatically fix them. Join our test kitchen: https://t.co/ShuLaL4ebi quotientai.co Boston, Massachusetts Joined July 2023-
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One of the hardest parts of working in retrieval or search is figuring out where things fail. Did the retriever return irrelevant context? Did the model hallucinate even with good context? Is the retriever drifting over time as the corpus changes? Most production setups don’t…
One of the hardest parts of working in retrieval or search is figuring out where things fail. Did the retriever return irrelevant context? Did the model hallucinate even with good context? Is the retriever drifting over time as the corpus changes? Most production setups don’t… https://t.co/edE3DK8obq
We’ve built a financial analyst agent with built-in monitoring and automatic trace analysis. @QuotientAI's evaluators flag critical issues like hallucinated risk factors, misattributed data, and irrelevant retrievals, so every output is accurate, compliant, and trustworthy.
What if you had a SOTA search agent and you could confirm its reliability in real time? We added @QuotientAI monitoring to Fireplexity, @Firecrawl’s Perplexity clone backed by @GroqInc. Best part? It’s all OSS, so you can measure the lift from new prompts & models.
Evaluating generative AI - especially for hallucinations, retrieval errors, and tool-use behaviors - is notoriously tough yet critical for deployment in real-world systems. Talk to @JuliaANeagu next Nov in Lisbon about how she helps ensure the AI-powered systems you’re coding…
I’ll be showing off what we’ve built tonight at the MCP Demo Night w/ @getsentry @osoHQ and @incident_io. Come by if you’re around! I'm in SF all week — already catching up with some great folks, and always down for a beverage or a bite. HMU!
I’ll be showing off what we’ve built tonight at the MCP Demo Night w/ @getsentry @osoHQ and @incident_io. Come by if you’re around! I'm in SF all week — already catching up with some great folks, and always down for a beverage or a bite. HMU!
introducing the Quotient MCP Server, our entrypoint for in-the-loop steering of agents agents can receive information about what kinds of errors they're making in between steps, get feedback from specialized models, and correct themselves
notes from @JuliaANeagu 's talk on hallicnations
Can you get your AI agent to *0* hallucination? Let's find out! .@jxnlco and I are chatting in a couple of hours about how to catch critical issues (like hallucinations) in your AI agents in real time. Sign up link below 👇
Can you get your AI agent to *0* hallucination? Let's find out! .@jxnlco and I are chatting in a couple of hours about how to catch critical issues (like hallucinations) in your AI agents in real time. Sign up link below 👇
Our talk with @tavily is now live — part of the new @aiDotEngineer Retrieval & Search track. We share a practical framework for evaluating AI-powered search, and results from benchmarking popular context-augmented systems. If you’re building AI search, this one’s for you.
Our talk with @tavily is now live — part of the new @aiDotEngineer Retrieval & Search track. We share a practical framework for evaluating AI-powered search, and results from benchmarking popular context-augmented systems. If you’re building AI search, this one’s for you.
@jerryjliu0 and @QuotientAI on your birthday! x.com/JuliaANeagu/st…
@jerryjliu0 and @QuotientAI on your birthday! x.com/JuliaANeagu/st…
happy birthday to me 🥳🥳🥳🥳🥳
Agents still mess up tool calls. Last week we released limbic-tool-use-0.5B - a small model that catches those mistakes better than GPT-4.1. Now we're sharing how we did it: dataset, training pipeline, benchmark. 162 MCP server tools 50M+ tokens 1 @modal_labs H100 read below
AI can speed up legal research—but speed is worthless without jurisdictional accuracy and source verifiability. This guide shows how @tavilyai and @QuotientAI are helping legal teams catch hallucinated citations and stay grounded in the right law.
AI can speed up legal research—but speed is worthless without jurisdictional accuracy and source verifiability. This guide shows how @tavilyai and @QuotientAI are helping legal teams catch hallucinated citations and stay grounded in the right law.
thanks to everyone for the excitement and questions. we've got more stuff cooking, and wanted to share more about the data curation & training pipeline from our researcher @DeannaLEmery in our blog below 👇
thanks to everyone for the excitement and questions. we've got more stuff cooking, and wanted to share more about the data curation & training pipeline from our researcher @DeannaLEmery in our blog below 👇
WHAT A DAY: @QuotientAI limbic-tool-use-0.5B is trending on @huggingface! it’s now the top fine-tuned model for Qwen2.5-0.5B-Instruct appreciate all the support ❤️more coming soon 👀
WHAT A DAY: @QuotientAI limbic-tool-use-0.5B is trending on @huggingface! it’s now the top fine-tuned model for Qwen2.5-0.5B-Instruct appreciate all the support ❤️more coming soon 👀
didn't expect this to get as much attention as it did! we're working on more exciting things so if you're looking to understand problems with your agents or want to make them better, message me or @JuliaANeagu and let us know 🙂 also try Quotient
didn't expect this to get as much attention as it did! we're working on more exciting things so if you're looking to understand problems with your agents or want to make them better, message me or @JuliaANeagu and let us know 🙂 also try Quotient
Limbic-Tool-Use MCP Function Call Evaluator 🥰🥰🥰🥰 🙇♂️🙇♂️🙇♂️🙇♂️
Limbic-Tool-Use MCP Function Call Evaluator 🥰🥰🥰🥰 🙇♂️🙇♂️🙇♂️🙇♂️
Small single purpose models ftw
Small single purpose models ftw
Really cool stuff - having a fallback in an agentic system is a great idea
Really cool stuff - having a fallback in an agentic system is a great idea
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