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Krishna Gade @krishnagade

Founder & CEO at @fiddler_ai, Building Trust into AI. Prior: @facebook, @pinterest, @twitter, @microsoft fiddler.ai San Francisco, US Joined February 2009
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Krishna Gade retweeted
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Fiddler AI @fiddler_ai

5 days ago

💌 Webinar Invite: Building Agents at Scale – Lessons from the Front Lines Join us for a special AI Explained Webinar with Gary Stafford, Principal Solutions Architect at AWS, to explore how multi-agent systems are transforming enterprise automation and workflows. 📅 When: This…

Krishna Gade retweeted
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Karoline Leavitt @PressSec

a week ago

To be clear: 1.) This is NOT an annual fee. It’s a one-time fee that applies only to the petition. 2.) Those who already hold H-1B visas and are currently outside of the country right now will NOT be charged $100,000 to re-enter. H-1B visa holders can leave and re-enter the…

Krishna Gade retweeted
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Seth Bannon @sethbannon

a week ago

AMERICAN CITIZENS who relied on H1-Bs to work here: Eric Yuan, Zoom founder Eren Bali, Udemy cofounder Sundar Pichai, Alphabet CEO Sanjay Mehrotra, Micron CEO Satya Nadella, Microsoft CEO Gustaf Alströmmer, YC Partner François Locoh-Donou, F5 CEO Andrew Ng, Coursera cofounder…

Krishna Gade retweeted
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Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) @rao2z

2 weeks ago

In the year since LRMs ("reasoning models") hit the scene, we have been trying to understand, analyze and demystify them.. Here are our efforts to date--conveniently all in one place (First..) Evaluation of LRMs on Planning 📜arxiv.org/abs/2409.13373 (9/24)&…

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Krishna Gade @krishnagade

3 weeks ago

Great thread 👏 Totally agree that most evals feel unnatural for engineers because they don’t map to workflows they already live in. The missing piece IMO is bridging data science rigor with software engineering ergonomics. Until we unify those, evals will either feel like a…

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Julia Neagu @JuliaANeagu

3 weeks ago

Great thread 👏 Totally agree that most evals feel unnatural for engineers because they don’t map to workflows they already live in. The missing piece IMO is bridging data science rigor with software engineering ergonomics. Until we unify those, evals will either feel like a…

Krishna Gade retweeted
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Fiddler AI @fiddler_ai

3 weeks ago

We're excited to launch our waitlist for the next evolution of AI Observability → #Agentic Observability. This is a limited, invite-only rollout as we prioritize a small group of teams ready to shape how we observe and evaluate agentic AI. As #AIagents take on more complex,…

Krishna Gade retweeted
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elvis @omarsar0

4 weeks ago

A Survey of Frontiers in LLM Reasoning This is a really good overview of the key regimes and architectures advancing reasoning in LLMs.

Krishna Gade retweeted
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OpenAI @OpenAI

2 months ago

Dropping soon.

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Krishna Gade @krishnagade

2 months ago

Mohammad Siraj!! You beauty, what a lion hearted performance. Take a bow!! #INDvsENG 2-2 🎉

Krishna Gade retweeted
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Aaron Levie @levie

2 months ago

The trillion dollar opportunity in enterprise software is AI Agents. The reason for this is AI Agents expand many software categories because most tools have been constrained by the number of users on the other end of the tool. Enterprise software traditionally enabled people…

Krishna Gade retweeted
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tobi lutke @tobi

3 months ago

@levie Excellent topic. Memory portability and memory observability will be key. Memory is a graph. Your work related memory is related to the note of your employment and you. A new graph node is needed when you change employer. This is difficult reason about, but super important.

Krishna Gade retweeted
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TuringPost @TheTuringPost

3 months ago

Small Language Models (SLMs) are the future of Agentic AI, claim @nvidia researchers. Moreover, they offer a method for converting existing agent systems from using LLMs to SLMs that could work in practice. Here are the details:

Krishna Gade retweeted
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Pritika Mehta @pritika_mehta

3 months ago

The truth about Soham Parekh - the dude clears interviews, he’s good with that - after clearing, he has junior people doing all the work - has around 20 employees and interns. Basically a small dev shop

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