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Pennylane's journey to deploy Dust for Customer care teams
Customer Support

Pennylane's journey to deploy Dust for Customer care teams

Discover how Pennylane's support team scales customer care with Dust's AI assistants.
26 Feb 2024 4 min read
Happy Acceleration in 2024!

Happy Acceleration in 2024!

2023 was a year of exciting exploration for many teams as they sought to understand the capabilities of generative AI (“GenAI”) and the impact it could have on what they sell but also on how they work to sell it. In 2024, we expect many companies to decide on a
03 Jan 2024 6 min read
A fair comparison of modern models' reasoning capabilities

A fair comparison of modern models' reasoning capabilities

The convergence of models' interfaces on the Chat Message API as well as the global push toward larger context sizes opens an interesting opportunity to compare recent models in a perfectly equivalent setup on a reasoning-heavy dataset: MATH. Models We present an evaluation of the following models on the
22 Dec 2023 6 min read
Build an AI Agent to Track Internal Project Status

Build an AI Agent to Track Internal Project Status

Stay on top of key projects with a custom Dust agent. From rolling out Dust and agents across companies, we've seen tremendous value in creating AI agents that provide project status updates. This best practice outlines how to build an agent that delivers timely, relevant info on any
23 Oct 2023 5 min read
Automate SQL Query Generation with a Custom Dust Agent

Automate SQL Query Generation with a Custom Dust Agent

Take the load off your data analysts with a Dust agent specialized in SQL. From wide-scale rollouts, we've seen immense value in AI agents that automatically generate SQL queries. This article outlines building a Dust Custom agent that outputs analysis-ready SQL. Simply include your most relevant table schemas
28 Sep 2023 3 min read
Boost Customer Satisfaction with Custom AI agents

Boost Customer Satisfaction with Custom AI agents

Based on our experience rolling out Dust agents to augment our users’ customer service teams, we’ve compiled below some best practices to serve this use case better. Please reach out at team@dust.tt with any questions! We’ve repeatedly seen that a general-purpose agent with access to the
31 Aug 2023 5 min read
Announcing our seed round

Announcing our seed round

Dust is an AI-native company based in Paris, France. We’re excited to share that we’ve raised €5M in seed funding led by Sequoia Capital with participation from XYZ, GG1, AIGrant, Connect Ventures, Motier VC, Remote First, Tiny Supercomputer, Seedcamp, and others, to build the operating system for smart
27 Jun 2023 4 min read
Speculative sampling: LLMs writing a lot faster using other LLMs

Speculative sampling: LLMs writing a lot faster using other LLMs

Behind the beautiful name of Speculative sampling lies a neat technique to have a large language model generate tokens up to three times faster 🔥 The technique has been developed by various research teams, including one from Google DeepMind who published it here. See for yourself: And also try it yourself
02 Jun 2023 5 min read
A first version of our Product Constitution

A first version of our Product Constitution

The opportunity opened by Large Language Models (LLMs) is vast. It’s allowed the birth of Dust, an AI-native company that wants to make work “work better” for smart teams. Deciding on a product constitution to guide what Dust would focus on in the vast space of possible directions was
15 May 2023 4 min read
Why work doesn’t work

Why work doesn’t work

Information overload is a millenia-old challenge that's only been amplified by digital technology. With Large Language Models (LLMs), we can leverage technology to overcome this challenge that every company faces. A new approach is needed: adaptive software that helps teams better harness information flows with software and free
11 May 2023 3 min read
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