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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.
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KDnuggets
OCTOBER 6, 2023
Elevate Your Search Engine Skills! Join Uplimit's SearchML Course now for a 4-week deep dive into machine learning and search. Boost rankings, enhance retrieval, and build with OpenSearch. Enroll today and level up with expert guidance!
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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
databricks
DECEMBER 7, 2023
Following the announcement we made yesterday around Retrieval Augmented Generation (RAG), today, we’re excited to announce the public preview of Databricks Vector Search.
135 135 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
KDnuggets
APRIL 22, 2024
Leverage the latest technology to improve our search engine capabilities.
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databricks
FEBRUARY 29, 2024
We are thrilled to announce major improvements to the search capabilities in your Databricks workspace. These enhancements build on DatabricksIQ, the Data Intelligence.
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KDnuggets
MARCH 22, 2024
GenAI has enabled new search engine platforms with unique features and advantages, challenging Google's dominance.
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Eventbrite Engineering
MARCH 12, 2024
1 Background Relevance tuning is the process of making incremental changes to a search algorithm to improve the ranking of search results to better meet the information needs and preferences of users. Authored by: Zelal Gungordu and Delaine Wendling.
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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.
KDnuggets
JANUARY 17, 2024
Semantic vector search is an advanced search technique revolutionizes how we interact with information by understanding the true meaning of words, thus leading to more relevant and insightful results.
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ArcGIS
NOVEMBER 20, 2023
The ArcGIS Pro search index makes it possible to find project data and other resources. See what’s new with indexing in ArcGIS Pro 3.2.
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Knowledge Hut
FEBRUARY 7, 2023
In this post, the Binary Search Algorithm will be covered. Finding a certain element in the list is the process of searching. If not, the search is deemed fruitless. Finding a certain element in the list is the process of searching. If not, the search is deemed fruitless. What is Binary Search Algorithm?
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Booking.com Engineering
MAY 1, 2023
At Booking.com we’re passionate about making the life of our users easier by providing the best property search capabilities. City, attraction and airport markers on map How to search on the map? Thus, we can use a BBox as our search key when searching for the map contents. Search with a quadtree.
KDnuggets
FEBRUARY 17, 2022
In this article, we will explain one such method to build a visual search engine. The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. We will use the Caltech 101 dataset which contains images of common objects used in daily life.
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Snowflake
APRIL 17, 2023
We are excited to announce a major update to the Search Optimization Service, which will accelerate both point lookups and analytical queries while at the same time reducing cost for our customers. This is a perfect use case for the Search Optimization Service. But search-optimizing an entire table can be quite costly.
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KDnuggets
MARCH 14, 2023
People click on top items in search and recommendations more often because they are on top, not because of their relevancy. How can this problem be solved?
KDnuggets
AUGUST 30, 2022
Doug Turnbull’s ‘ML Powered Search’ Live Cohort starts Oct 11 on Sphere. Join now to learn to create ranking solutions that maximize conversions and clicks, identify & improve challenging search queries using ML, and more.
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U-Next
JUNE 29, 2022
What is Searching in Data Structure? The process of retrieving the needed information from a collection of objects stored as elements in computer memory is referred to as searching in data structure. Searching Methods. As an example, consider Linear Search in c. Linear Search. The average time. For example: .
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Rockset
SEPTEMBER 19, 2023
As a search and analytics database, Rockset powers many personalization, anomaly detection, AI, and vector applications that need fast queries on real-time data. Rockset maintains inverted indexes for data, enabling it to efficiently run search queries without scanning over all of the data. This can be a bottleneck.
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Rockset
JANUARY 30, 2024
In 2023, Rockset announced a new cloud architecture for search and analytics that separates compute-storage and compute-compute. In this blog, we delve into each of these features and how they are giving users more cost controls for their search and AI applications. This is a game changer in disaggregated, real-time architectures.
KDnuggets
FEBRUARY 9, 2023
Qdrant open-source vector similarity search engine is now available in the cloud. The cloud platform for Qdrant offers business users cost-efficient, fully managed service in addition to powerful features of their open-source vector search database.
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KDnuggets
FEBRUARY 9, 2022
In this article, we will explain one such method to build a visual search engine. The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. We will use the Caltech 101 dataset which contains images of common objects used in daily life.
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KDnuggets
SEPTEMBER 30, 2022
The good news is that there are several easy ways to improve your search application’s quality and performance. There are many places to start improving and optimizing and it’s easy to get bogged down.
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KDnuggets
JULY 13, 2023
New approach represents problem-solving as search over reasoning steps for large language models, allowing strategic exploration and planning beyond left-to-right decoding. This improves performance on challenges like math puzzles and creative writing, and enhances interpretability and applicability of LLMs.
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KDnuggets
OCTOBER 5, 2022
A comprehensive guide on optimizing model hyperparameters with Scikit-Learn.
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Tweag
DECEMBER 12, 2022
The site search.nixos.org is used to search for packages, options, and flakes. This can now be used with nixos-search to deprecate our wrapped nix evaluations. For anyone unfamiliar, flakes exist to provide a standard format to package Nix-based projects. So what does the end result look like?
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KDnuggets
APRIL 11, 2024
Learn how to use various data science platforms to secure your first job.
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Confluent
APRIL 8, 2021
Together, we’re enabling our joint customers to set data in motion, and through that, deliver optimized search, real-time analytics, […]. Today, I am delighted to announce an expanded partnership with Elastic.
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WeCloudData
OCTOBER 19, 2021
How can content search be simplified and intuitive? WeCloudData is helping clients reinvent content search in their business by combining modern data engineering pipelines with sophisticated machine learning models deployed in the cloud and improving knowledge search capabilities while maximizing ROI.
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WeCloudData
OCTOBER 19, 2021
How can content search be simplified and intuitive? WeCloudData is helping clients reinvent content search in their business by combining modern data engineering pipelines with sophisticated machine learning models deployed in the cloud and improving knowledge search capabilities while maximizing ROI.
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KDnuggets
APRIL 21, 2022
Nota AI has launched the beta testing for NetsPresso Model Search, a hardware-aware autoML tool which searches and finds optimized models for a target device.
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KDnuggets
AUGUST 6, 2019
Learn how to use a simple random search in Python to get good results in less time. Feature selection is one of the most important tasks in machine learning.
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WeCloudData
OCTOBER 19, 2021
As organizations continue to undergo digital transformations all over the world, enterprises are experiencing pains that […] The post Consulting Case Study: Integrated AI Content Search appeared first on WeCloudData.
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Afterpay Tech
NOVEMBER 23, 2020
So providing an effective search capability to enable consumers get relevant results quickly is important for a smooth shopping experience. A sizable % of the referrals come directly from search. Figure 1: Suggestions shown below the search bar when typing “air jordan” with the keyword-based system.
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KDnuggets
JANUARY 2, 2020
Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed. Delivering accurate insights is the core function of any data scientist.
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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.
87 87 Data Engineering Podcast
SEPTEMBER 9, 2018
Chaos Search was started to make it easy for you to keep all of your data and make it usable in S3, so that you can have the best of both worlds. They also explain some of the types of data that you can use with Chaos Search, how to load it into S3, and when you might want to choose it over Amazon Athena for our serverless data analysis.
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KDnuggets
JULY 24, 2019
Developers are always searching for answers to questions about their code. Facebook is creating new NLP neural networks to help search code repositories that may advance information retrieval algorithms. But how do they ask the right questions?
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ArcGIS
NOVEMBER 29, 2023
An analysis on the performance of the new spatial_filter parameter for arcpy.da.SearchCursors.
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DoorDash Engineering
NOVEMBER 8, 2022
In the past, we struggled to determine the impact of our search advertising campaigns on driving downloads of the DoorDash app through that app marketplace. The post Adapted Switch-back Testing to Quantify Incrementality for App Marketplace Search Ads appeared first on DoorDash Engineering Blog.
52 Rockset
MAY 27, 2021
Let's compare and contrast search indexing with real-time converged indexing and explain what converged indexing is, how it's similar, how it's different, how the architecture is set up, and then review some of the details of how it is different in terms of operations. Indexing Background Search indexing has been around for a while.
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Zalando Engineering
JUNE 26, 2017
The immense explosion of unstructured data drives modern search applications to go beyond just fuzzy string matching, to invest in deep understanding of user queries through interpretation of user intention in order to respond with a relevant result set. What role can Machine Learning play in search relevancy?
40 Rockset
JUNE 4, 2021
In this blog, we will describe a new storage format that we adopted for our search index, one of the indexes in Rockset’s Converged Index. This new format reduced latencies for common queries by as much as 70% and the size of the search index by about 20%. In the row store, field values in a document are stored together.
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Rockset
MAY 6, 2019
Search and Analytics on Crypto Transactions Aside from compiling all transaction data from users’ wallets and exchange accounts, Decore, as an accounting tool, needs to allow accountants to verify, allocate, and reconcile transactions as part of their work.
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DoorDash Engineering
FEBRUARY 27, 2024
We reviewed the architecture of our global search at DoorDash in early 2022 and concluded that our rapid growth meant within three years we wouldn’t be able to scale the system efficiently, particularly as global search shifted from store-only to a hybrid item-and-store search experience.
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