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Data News — Snowflake and Databricks summits

Christophe Blefari

As a side note Naveen Rao, Mosaic CEO, said that to train MPT-30B from scratch you need around 12 days and less than $1m. LakehouseAI — Research shown that 25% of the queries get their costs misestimated by the query optimisers and the error can be 10 6.

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What’s Next for the Modern Data and AI Stack? 5 Predictions from Databricks’ SVP of Products, Adam Conway

Monte Carlo

And at the recent Data + AI Summit , Databricks leaders announced their ambitious LakehouseIQ, a new feature that aspires to make querying your data in plain language and announced the acquisition of Mosaic AI, a leading enterprise AI vendor. Mosaic] MPT 30B is amazing, at a much smaller size.

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Visual Creation and Exploration at Zalando Research

Zalando Engineering

Zalando Research is currently exploring such methods and their potential to aid Zalando’s content creation, private fashion labels, and sizing recommendation teams, and offer our customers a new fashion experience. The tools created for fashion research purposes are also useful as tools for visual artistic creation and exploration.

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15 Types of Data Visualization Charts with Examples

Knowledge Hut

This information can be valuable for policymakers, researchers, and the general public to understand the distribution of energy usage and identify trends or shifts in the energy sector. It allows researchers or analysts to identify patterns, trends, or dependencies in the data.

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More Editorial Content, please.

Zalando Engineering

Also, it was based on Zalando's "Mosaic" system architecture, which was being phased out in favour of the newer Interface Framework. After researching many third-party CMS solutions we decided to go with Contentful , a headless CMS - 'headless' since it is agnostic about the 'how' of presenting content to the end user.

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Serving Quantized LLMs on NVIDIA H100 Tensor Core GPUs

databricks

Quantization is a technique for making machine learning models smaller and faster. We quantize Llama2-70B-Chat, producing an equivalent-quality model that generates 2.2x

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Integrating NVIDIA TensorRT-LLM with the Databricks Inference Stack

databricks

Over the past six months, we've been working with NVIDIA to get the most out of their new TensorRT-LLM library. TensorRT-LLM provides an easy-to-use Python interface to integrate with a web server for fast, efficient inference performance with LLMs.

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