Nicolay Gerold

For low throughput data, Grab uses Parquet with Copy on Write (CoW) .

Here's the main operations for Copy on Write:

• Write Operations - Whenever there's a write, you create a new version of the file that includes the latest change. You can also keep the previous version for consistency and rollback purposes. This helps prevent data corruption,

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We found the ML engineering workflow to revolve around the following stages (Figure 1): (1) Data Preparation , which includes scheduled data acquisition, cleaning, labeling, and trans-formation, (2) Experimentation , which includes both data-driven and model-driven changes to increase overall ML performance, and is typically measured by metrics... See more

data needs to be managed for quality, timeliness, consistency, reusability, and business relevance

Deploying a Generative AI model requires more than a VM with a GPU. It normally includes:

• Container Service : Most often Kubernetes to run LLM Serving solutions like Hugging Face Text Generation Inference or vLLM.


• Compute Resources : GPUs for running models, CPUs for management services


• Networking and DNS : Routing traffic to the appropriate

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HIIT and resistance training promotes cycling glucose into glucogen, while steady state cardio promotes stable glucose levels. Urin is filtered blood.

TurboSeek

An open source AI search engine. Powered by Together.ai.

Tech stack

• Next.js app router with Tailwind


• Together AI for LLM inference


• Mixtral 8x7B & Llama-3 for the LLMs


• Bing for the search API


• Helicone for observability


• Plausible for website analytics

How it works

1. Take in a user's question


2. Make a request to the bing search API to look up the top 6

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Transform your E-Commerce Customer Service with AI

Empowering Shopify merchants with automated AI customer service, boosting agent productivity while slashing costs.

(1) The separation between storage and compute , as encouraged by data lake architectures (e.g. the implementation of P would look different in a traditional database like PostgreSQL, or a cloud warehouse like Snowflake). This architecture is the focus of the current system, and it is prevalent in most mid-to-large enterprises (its benefits that... See more