Enhancing Product Search with Large Language Models (LLMs)
databricks
APRIL 26, 2023
The text generation capabilities of ChatGPT, Dolly and the like are truly impressive and are rightfully recognized as major steps forward in the.
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databricks
APRIL 26, 2023
The text generation capabilities of ChatGPT, Dolly and the like are truly impressive and are rightfully recognized as major steps forward in the.
Data Engineering Podcast
APRIL 21, 2024
When Andrew Lee started work on Shortwave he was focused on making email more productive. In this episode he shares the technical challenges that he and his team have overcome in integrating AI into their product, as well as the benefits and features that it provides to their customers. Don't forget to check out our other shows.
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
The Pragmatic Engineer
APRIL 9, 2024
As I shared in November 2021 , Stack Overflow is retiring this product, and the last day of operation will be 30 March 2022. I asked Stack Overflow why the product is being shut down and had a long conversation with someone working on the product. Hire a specialist tech search firm that you pay based on successful hires.
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Data Engineering Podcast
SEPTEMBER 24, 2023
In this episode Louis Brandy discusses the applications for vector search capabilities both in and outside of AI, as well as the challenges of maintaining real-time indexes of vector data. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products. With Materialize, you can!
Zalando Engineering
FEBRUARY 7, 2018
How We Built the Next Generation Product Search from Scratch using a Deep Neural Network Product search is one of the key components in an online retail store. Google web search), products are structured data. A product is often described by a list of key-value pairs, a set of pictures and some free text.
Jesse Anderson
NOVEMBER 14, 2023
Here, data discovery is about searching for data – not getting insight from data, but simply trying to find data. In an enterprise data reality, searching for data is a bit of a hassle. And that is what the data discovery team that I propose in this blog post should work on: searching for data. What’s next?
The Pragmatic Engineer
MAY 1, 2024
A first, smaller wave of these stories included Magic.dev raising $100M in funding from Nat Friedman (CEO of GitHub from 2018-2021,) and Daniel Gross (cofounder of search engine Cue which Apple acquired in 2013,) to build a “superhuman software engineer.” For companies using Sourcegraph for code search, Cody is the clear choice.
The Pragmatic Engineer
MARCH 19, 2024
A first, smaller wave of these stories included Magic.dev raising $100M in funding from Nat Friedman (CEO of GitHub from 2018-2021,) and Daniel Gross (cofounder of search engine Cue which Apple acquired in 2013,) to build a “superhuman software engineer.” For companies using Sourcegraph for code search, Cody is the clear choice.
The Pragmatic Engineer
APRIL 21, 2024
OpenAI is the creator of ChatGPT, which is just one of the business’ products. The engineering, product, and design organization that makes and scales these products is called "Applied," and was founded in 2020 when GPT-3 was released. ChatGPT and the API each expose several classes of model: GPT-3, GPT-3.5,
Christophe Blefari
MARCH 2, 2024
I'll give a talk—in French—about how to put in production machine learning at a small scale. And let's be honest this is a productivity boost, especially when you want to write docstrings and comments. Introducing DoorDash’s in-house search engine — Custom searcher built on top of S3.
LinkedIn Engineering
OCTOBER 5, 2023
Think of how many times a day you use some type of search functionality across your devices and applications to discover information, find a contact, or a new job opportunity. The magic in search happens because of the technology that powers it. EBR helps deliver more relevant matches for our members and customers every day.
ThoughtSpot
APRIL 17, 2024
Or, if you could provide all of your insurance risk managers with the ability to analyze the risk profile of their claims with the power of search and automated insights? In a Product Led Alliance survey, more than half of the respondents say embedded analytics directly results in increased engagement and revenue.
The Pragmatic Engineer
AUGUST 10, 2023
” 14% : this is by how much search engine traffic is down, year-on-year. So the obvious question is will StackOverflow be content with being scraped for this data – as they have been, until now – or will the company turn it into AI products? A senior engineer/EM job search story.
The Pragmatic Engineer
AUGUST 10, 2023
A few months later, he signed an offer to start a new company, and shared brief details of his job search on LinkedIn: Davidson summarizing his job hunt. How long was your job search? ‘My search lasted for about three months, until I received the first offer. ‘Job searching took a toll on my time and energy.
Rockset
MARCH 18, 2024
That’s because successfully deploying an AI application requires retrieval augmented generation or “RAG” pipelines, processing real-time data streams, chunking data, generating embeddings, storing embeddings and running vector search. Indexing vectors: Indexing algorithms can help to search across billions of vectors quickly and efficiently.
Christophe Blefari
OCTOBER 9, 2023
4 tips to save warehouse money — Paul posted on LinkedIn about search index , avoiding rerunning dbt tests when possible or just deleting tables. Ensuring data quality with Verity — Lyft definition of data quality and a tour of the in-house product to address data quality in the data platform: Verity.
DoorDash Engineering
APRIL 23, 2024
DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. Better personalization.
Rockset
APRIL 18, 2023
We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results.
ThoughtSpot
JANUARY 31, 2024
Recent advances in AI and machine learning are not only changing the way we interact with data, but also pushing those of us who build analytics and BI platforms to think critically about how our products can best serve our customers moving forward. Centering the human experience To be human is to search for answers.
Knowledge Hut
APRIL 26, 2024
Datasets may also be confidential as they may contain sensitive information pertaining to a product, organization or government. In the real world, data is not open source , as it is confidential and may contain very sensitive information related to an item , user or product. In the real world, data sets are huge.
Snowflake
NOVEMBER 1, 2023
Generative AI is unlocking new ways to drive innovation, improve productivity and derive more value from data. As part of Snowflake Cortex, users of all skill sets now have access to industry-leading AI models, LLMs and vector search functionality, as well as complete LLM-powered experiences.
Snowflake
MARCH 12, 2024
The Mapbox Snowflake Native App extends those benefits: it brings Mapbox’s search, navigation and mapping logic to the data and makes geospatial data analysis more accessible for developers and non-developers alike. Check out the Mapbox Snowflake Native App now. The challenge lies in figuring out what an address is and whether it’s real.
Rockset
MARCH 28, 2024
Overview In this guide, you will: Gain a high-level understanding of vectors, embeddings, vector search, and vector databases, which will clarify the concepts we will build upon. Learn how to use the Rockset console with OpenAI embeddings to perform vector-similarity searches, forming the backbone of our recommender engine.
ThoughtSpot
JANUARY 31, 2024
While legacy dashboard companies are just catching on, this outcome-oriented approach is something ThoughtSpot has been pioneering for more than a decade with relational search. With our patent-pending HITL approach, users can give detailed word- and phrase-specific feedback utilizing ThoughtSpot’s relational search tokens.
The Pragmatic Engineer
APRIL 6, 2023
He shared: “I'd preface everything by saying that this is very much a v1 of our jobs product and we plan to iterate and build a lot more as we get feedback. It was around unique searches: “We were surprised to see just how many job searches are unique!
Knowledge Hut
DECEMBER 22, 2023
Voice Search Benefits: Improved User Experience Accessibility Hands-free Interaction Faster Search Results Examples: Integrating voice-enabled search boxes or chatbots on websites to allow users to perform voice-based searches. Web Development Trends In 2024 1.
Engineering at Meta
SEPTEMBER 7, 2023
Features like keyword search, which rolled out to more countries today, and private messaging were put on hold for later updates, as were the decentralized features. Engineers from all parts of the Infrastructure team, the product teams, as well as on-call engineers were pulled in.
Pinterest Engineering
SEPTEMBER 20, 2023
“Everyone” has been the north star for our Inclusive AI and Inclusive Product teams. These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Our commitment is evidenced by our history of building products that champion inclusivity.
ThoughtSpot
JANUARY 23, 2024
ThoughtSpot makes these predictions, models, and data points accessible and intuitive to every user—from business users to data scientists—through intuitive natural language search and generative AI-Powered Analytics. Here’s how it works.
Netflix Tech
MARCH 14, 2023
Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. Use cases Use case #1: Dialogue search Dialogue is a central aspect of storytelling. In some cases editors need to search across many shows and manually doing it is not feasible. a close-up shot).
Knowledge Hut
APRIL 25, 2024
Splunk is a program that primarily functions as a web-style interface for searching, monitoring, and analyzing machine-generated Big Data. Splunk is a software platform that helps organizations search, monitor and analyze data from any source. With Splunk, you can search, visualize, and report your data. What Is Splunk?
Zalando Engineering
NOVEMBER 19, 2023
Who we are We are a team from the Search & Browse department, the department in Zalando that is responsible for all things search (read: relevance, personalisation, sorting, filters, full text search, in short, everything that forms the search experience).
Data Engineering Weekly
MARCH 3, 2024
Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you?
Hevo
APRIL 20, 2024
Google has always pioneered the development of large and scalable infrastructure to support its search engine and other products. Its vast network servers have enabled us to store and manage immense volumes of data. As cloud computing gained notoriety, Google expanded its operations and launched Google Cloud Platform (GCP).
Knowledge Hut
APRIL 25, 2024
Every day people search or visit several websites. There are various things that you should learn under this, and some of them are: Arrays Linked Lists Stacks Queues Graphs Hash Tables Binary Search Tree Now we come to algorithms. You should be proficient in searching algorithms, especially Breadth-First Search and Depth First Search.
Knowledge Hut
OCTOBER 26, 2023
Today, Websites are the essential part of any business to showcase the online presence and provide availability of products across the globe. Snapshot It’s a simple gallery project where we can search the photos by keywords, change the category based on given options as Mountain, Beaches, Birds, Food.
ThoughtSpot
APRIL 2, 2024
While natural language search and other AI functionality aren’t new to ThoughtSpot, generative AI solutions like Google Gemini are sparking a Data Renaissance. Following the release of change analysis leveraging Gemini, we have several exciting co-innovation initiatives on the product roadmap.
Snowflake
APRIL 7, 2023
All of the semi-finalists are great examples of products Powered by Snowflake. Brad will join the rest of our esteemed judges, including Benoit Dageville, Snowflake’s Co-Founder and President of Product; Denise Persson, Snowflake’s CMO; and Lynn Martin, NYSE Group’s President.
Snowflake
MARCH 5, 2024
This is particularly useful for teams constantly working with product reviews, surveys, call transcripts and other long-text data sources traditionally underutilized within marketing, sales and customer support teams. Source SELECT SNOWFLAKE.CORTEX.COMPLETE( 'mistral-large', CONCAT('Summarize this product review in less than 100 words.
Knowledge Hut
MAY 3, 2024
Power BI integration with Cortana can visualize data, interact with it in your OS, and search your data with Cortana’s powerful AI systems. It also provides a product value-add feature that is used to track and identify the key data sets regarding the product or service. Most of those sources reach the server at some point.
DoorDash Engineering
NOVEMBER 28, 2023
We conducted interviews across multiple teams, including Search, Ads, ETA, and more that focused on each participant’s role, how they were using ML Workbench, their team’s goals, and their current pain points. We organized major user tasks using a jobs-to-be-done framework and categorized users into three buckets: I.
ThoughtSpot
AUGUST 23, 2023
This task requires institutional knowledge, feedback, and product thinking. After about eight months of hard work, we launched a usable, enterprise-ready product: ThoughtSpot Sage. Whenever someone brings up a competitive product with similar capabilities, I ask them if they have seen it being used in production.
Knowledge Hut
FEBRUARY 1, 2024
On Flipkart's website, you see many recommendations when looking for a product. Do you wonder why a product appears in a specific manner on an e-commerce platform or why the object knew what I was looking for? Retailers use recommendation engines to drive customers to purchase a product based on their previous buy patterns.
Pinterest Engineering
MAY 25, 2023
In this post, we show how we improved diversification on Pinterest for three different surfaces: Search, Related Products, and New User Homefeed. Side-by-side Related Products recommendations for the query Pin “Shirt Tail Button Down” shown on the left. Top right: previous experience without diversification.
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