ornella
@ornelladotcom
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get in loser we’re learning to code
sf
Joined October 2019
if you're a product engineer at a series A company, i'll pay you $200 to talk to me for 30 minutes and tell me what you care about. I won't try to sell you braintrust or even talk about it. dm me!.
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hello 👋.
Come say hi to team Braintrust this week @aiDotEngineer world's fair! We're opposite Golden Gate Ballroom A. We're also hosting 2 workshops today at 10:40AM and 3:30PM in Golden Gate Ballroom C!
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Generate videos in just a few seconds. Try Grok Imagine, free for a limited time.
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come say hi at the ai eng world's fair this week!.
Announcing our Evals track speakers!. Evals are the starting point of all production AI Engineering - when exciting demos turn into serious tools and agents. Our evals track is led by @ankrgyl, who had one of the top @latentspacepod episodes of the past talking about the
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we're HIRING at @braintrustdata!. we have a ton of incredibly exciting open roles. reach out if you're interested!
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i am once again asking you to write use case specific evals before deciding to put a new model in your product based on random ass published benchmarks.
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RT @braintrustdata: LIVE NOW: How to evaluate AI agents. Join here:
lu.ma
Join Braintrust CEO Ankur Goyal for a live session on how to evaluate AI agents effectively. We'll break down the basics of getting started with evaluations,…
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stop shipping agents without evals.
New blog post: Evaluating agents . Last month, @AnthropicAI published "Building effective agents," where they defined common patterns for agentic systems. We defined how to choose metrics and write scoring functions for each type. Learn more:
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b2b enterprise saas but make it actually useful.
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RAG chatbot over @braintrustdata docs, but make it @OpenAI RealtimeAPI, with evals (!). coming 🔜
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RT @braintrustdata: Gemini 2.0 Flash is now available on Braintrust. Here's how to find out if you should use it in your app: . https://t.….
braintrust.dev
How to decide if you should use a new model in production.
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there actually are a set of concrete steps you can take to figure out if you should deploy a new foundation model in production . I wrote about them here:
braintrust.dev
How to decide if you should use a new model in production.
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